A pressure uniformity detection method, device, equipment and storage medium

Abstract

The application discloses a pressure uniformity detection method, device, equipment and storage medium, and relates to the technical field of computers.The method comprises the following steps: acquiring a pressure sensing image, wherein the pressure sensing image is an image of pressure sensing paper arranged on the surface of a pressure-bearing object after the pressure-bearing object bears pressure; after color information of the pressure sensing image is extracted, a feature map of the pressure sensing image is determined according to the color information; a feature contour is drawn based on the feature map of the pressure sensing image, and an isohypse image corresponding to the pressure sensing image is obtained; the isohypse image is subjected to image segmentation according to the feature contour, and the uniformity of the pressure borne by the pressure-bearing object is determined according to the area of the largest segmented image and the area of the pressure sensing image.The above technical solution does not use a pressure sensor to realize the detection of the uniformity of the pressure borne by the pressure-bearing object, thereby reducing the cost and complexity of the pressure uniformity detection.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of computer technology, and in particular to a pressure uniformity detection method, apparatus, device, and storage medium. Background Art

[0002] In the semiconductor manufacturing process, surface pressure distribution during chip stress testing is a crucial step. Uneven pressure distribution can lead to inspection errors, degraded chip performance, and even physical damage. Therefore, accurately assessing pressure distribution is crucial for ensuring chip quality and performance.

[0003] In the prior art, pressure measurement films are usually used to present the pressure distribution of a chip, and the pressure distribution of the chip is determined by manual visual inspection.

[0004] However, manual visual inspection is highly subjective, prone to misjudgment, and inefficient. Summary of the Invention

[0005] The present invention provides a pressure uniformity detection method, device, equipment and storage medium to reduce the cost and complexity of uniformity detection.

[0006] In a first aspect, an embodiment of the present invention provides a pressure uniformity detection method, comprising:

[0007] Acquiring a pressure-sensitive image, wherein the pressure-sensitive image is an image of a pressure-sensitive paper disposed on a surface of the pressure-bearing object after the pressure-bearing object is subjected to pressure;

[0008] After extracting the color information of the pressure-sensitive image, determining a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image;

[0009] Drawing feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image;

[0010] The contour image is segmented according to the characteristic contour lines, and the uniformity of the pressure borne by the pressurized object is determined according to the area of ​​the largest segmented image and the area of ​​the pressure-sensitive image.

[0011] The technical solution of an embodiment of the present invention provides a pressure uniformity detection method, including: obtaining a pressure-sensitive image, wherein the pressure-sensitive image is an image of pressure-sensitive paper set on the surface of the pressure-sensitive object after the pressure-sensitive object is subjected to pressure; after extracting color information of the pressure-sensitive image, determining a feature map of the pressure-sensitive image based on the color information of the pressure-sensitive image; drawing feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image; performing image segmentation on the contour image according to the feature contour lines, and determining the uniformity of the pressure borne by the pressure-sensitive object based on the area of ​​the maximum segmented image and the area of ​​the pressure-sensitive image. The above technical solution obtains a pressure-sensitive image indicating the pressure borne by the pressure-sensitive object through a pressure-sensitive paper set on the surface of the pressure-sensitive object, and then extracts the color information of the pressure-sensitive image to determine the red brightness value of each pixel in the pressure-sensitive image in the red channel, the green brightness value in the green channel, and the blue brightness value in the blue channel, so as to determine the feature map with the most obvious pressure-sensitive image effect, draw feature contour lines based on the feature map of the pressure-sensitive image, determine the image composed of the feature contour lines drawn from the feature map of the pressure-sensitive image as the contour image corresponding to the pressure-sensitive image, and segment the contour image along the feature contour lines to obtain at least one segmented image, and after determining the segmented image with the largest area as the maximum segmented image, determine the uniformity of the pressure borne by the pressure-sensitive object by the area ratio of the maximum segmented image and the pressure-sensitive image, and realize the uniformity detection of the pressure borne by the pressure-sensitive object without using a pressure sensor, thereby reducing the cost and complexity of the pressure uniformity detection.

[0012] Furthermore, after extracting the color information of the pressure-sensitive image, determining a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image includes:

[0013] Extracting red information in a red channel, blue information in a green channel, and blue information in a blue channel of the pressure-sensitive image;

[0014] The feature map of the pressure-sensitive image is determined according to color information having the most obvious effect among the red information in the red channel, the blue information in the green channel, and the blue information in the blue channel of the pressure-sensitive image.

[0015] Furthermore, before drawing feature contour lines based on the feature map of the pressure-sensitive image, the method further includes:

[0016] Smoothing the feature map based on average pooling and / or a preset convolution kernel to obtain an intermediate feature map;

[0017] The intermediate feature map is interpolated to obtain a target feature map.

[0018] Furthermore, interpolating the intermediate feature map to obtain a target feature map includes:

[0019] The intermediate feature map is interpolated based on a cubic polynomial to obtain the target feature map.

[0020] Furthermore, drawing characteristic contour lines based on the characteristic map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image includes:

[0021] The characteristic values ​​with the same numerical value in the characteristic map are connected to draw the characteristic contour line to obtain the contour image corresponding to the pressure-sensitive image.

[0022] Furthermore, performing image segmentation on the contour image according to the characteristic contour lines includes:

[0023] The contour image is segmented using the characteristic contour line as a segmentation line to obtain a segmented image of the contour image.

[0024] Furthermore, determining the uniformity of the pressure borne by the pressurized object according to the area of ​​the largest segmented image and the area of ​​the pressure-sensitive image includes:

[0025] determining an area ratio of the maximum segmented image to the pressure-sensitive image according to the area of ​​the maximum segmented image and the area of ​​the pressure-sensitive image;

[0026] The area ratio of the maximum segmented image to the pressure-sensitive image is determined as the uniformity of the pressure borne by the pressurized object.

[0027] In a second aspect, an embodiment of the present invention further provides a pressure uniformity detection device, comprising:

[0028] an acquisition module, configured to acquire a pressure-sensitive image, wherein the pressure-sensitive image is an image of a pressure-sensitive paper disposed on a surface of a pressure-bearing object after the pressure-bearing object is subjected to pressure;

[0029] an extraction module, configured to extract color information of the pressure-sensitive image and determine a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image;

[0030] a drawing module, configured to draw feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image;

[0031] An execution module is configured to segment the contour image according to the characteristic contour lines, and determine the uniformity of the pressure borne by the pressurized object according to the area of ​​the largest segmented image and the area of ​​the pressure-sensitive image.

[0032] In a third aspect, an embodiment of the present invention further provides a computer device, comprising:

[0033] at least one processor; and a memory communicatively coupled to the at least one processor;

[0034] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute any pressure uniformity detection method described in the first aspect.

[0035] In a fourth aspect, an embodiment of the present invention further provides a storage medium comprising computer-executable instructions, wherein the computer-executable instructions, when executed by a computer processor, are used to execute the pressure uniformity detection method as described in any one of the first aspects.

[0036] In a fifth aspect, the present application provides a computer program product, which includes computer instructions. When the computer instructions are run on a computer, the computer executes the pressure uniformity detection method provided in the first aspect.

[0037] It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer-readable storage medium may be packaged together with the processor of the pressure uniformity detection device, or may be packaged separately from the processor of the pressure uniformity detection device, and this application does not limit this.

[0038] The descriptions of the second, third, fourth and fifth aspects of this application can refer to the detailed description of the first aspect; and the beneficial effects of the descriptions of the second, third, fourth and fifth aspects can refer to the analysis of the beneficial effects of the first aspect, which will not be repeated here.

[0039] In this application, the name of the pressure uniformity detection device does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear with other names. As long as the functions of each device or functional module are similar to those of this application, they fall within the scope of the claims of this application and their equivalents.

[0040] These and other aspects of the present application will become more readily apparent from the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0042] Figure 1A flow chart of a pressure uniformity detection method provided by an embodiment of the present invention;

[0043] Figure 2 A flow chart of another pressure uniformity detection method provided by an embodiment of the present invention;

[0044] Figure 3 A two-dimensional schematic diagram of a pressure-sensitive image and color information of the pressure-sensitive image in another pressure uniformity detection method provided by an embodiment of the present invention;

[0045] Figure 4 A three-dimensional schematic diagram of color information of a pressure-sensitive image in another pressure uniformity detection method provided by an embodiment of the present invention;

[0046] Figure 5 The result of average pooling the feature map of the pressure-sensitive image in another pressure uniformity detection method provided by an embodiment of the present invention;

[0047] Figure 6 The result of convolving the feature map of the pressure-sensitive image in another pressure uniformity detection method provided by an embodiment of the present invention;

[0048] Figure 7 A contour image corresponding to a pressure-sensitive image in another pressure uniformity detection method provided by an embodiment of the present invention;

[0049] Figure 8 A schematic structural diagram of a pressure uniformity detection device provided by an embodiment of the present invention;

[0050] Figure 9 A schematic structural diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The present invention will be further described in detail below with reference to the accompanying drawings and examples. It will be understood that the specific embodiments described herein are intended only to illustrate the present invention and are not intended to limit the present invention. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions relevant to the present invention, not all structures.

[0052] The term "and / or" in this article is merely a description of the association relationship between associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0053] The terms "first" and "second" and the like in the specification and drawings of this application are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

[0054] Furthermore, the terms "including," "having," and any variations thereof, as used in the description of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or units is not limited to the listed steps or units but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to the process, method, product, or apparatus.

[0055] It should be mentioned before discussing exemplary embodiments in more detail that some exemplary embodiments are described as processes or methods depicted as flow charts. Although flow charts describe various operations (or steps) as sequential processes, many operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of various operations can be rearranged. When its operation is completed, the process can be terminated, but can also have additional steps not included in the accompanying drawings. The process can correspond to methods, functions, procedures, subroutines, subprograms, etc. In addition, the features in the embodiments of the present invention and the embodiments can be combined with each other without conflict.

[0056] It should be noted that in the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be interpreted as being more preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0057] In the description of the present application, unless otherwise specified, “plurality” means two or more.

[0058] In existing technology, when a pressure-exerting object applies pressure to a pressurized object and the uniformity of the pressure on the pressurized object needs to be detected, a pressure sensor array can be placed on the surface of the pressurized object to simultaneously measure the pressure at multiple points on the surface, thereby determining the pressure distribution on the surface of the pressurized object. When placing a pressure sensor array on the surface of the pressurized object, the position and spacing of each pressure sensor must be designed according to the specific situation to obtain more comprehensive and accurate pressure distribution information.

[0059] In order to obtain more accurate pressure on the pressurized object, the pressure sensor may be a pressure-sensitive paper sensor. The pressure-sensitive paper sensor uses pressure-sensitive paper as a pressure-sensitive element to convert the pressure signal into an electrical signal or a digital signal.

[0060] On the one hand, a large number of pressure-sensitive paper sensors are required, which is costly. Each pressure sensor needs to be arranged in a precise position, which makes the installation complicated. Each pressure-sensitive paper sensor needs to be calibrated and debugged, and the sensitivity varies greatly. The pressure-sensitive paper sensors have high requirements for the stability of environmental conditions. If the environmental conditions are unstable, it may cause deviations in the measurement results and is sensitive to environmental conditions. On the other hand, the pressure-sensitive paper sensor array will generate a large amount of data. Processing and analyzing this data requires data acquisition, calibration, filtering and analysis, and the data processing is complicated.

[0061] Therefore, the present application proposes a pressure uniformity detection method to achieve uniformity detection of the pressure borne by a pressurized object without using a pressure sensor.

[0062] The pressure uniformity detection method proposed in this application will be described in detail below with reference to diagrams and embodiments.

[0063] Figure 1 This is a flow chart of a pressure uniformity detection method provided by an embodiment of the present invention. This embodiment is applicable to the case where the uniformity of the pressure on the pressurized object is detected without using a pressure sensor. The method can be performed by a pressure uniformity detection device, such as Figure 1 As shown, the specific steps include:

[0064] Step 110: Acquire a pressure-sensitive image.

[0065] The pressure-sensitive image is an image of a pressure-sensitive paper provided on the surface of the pressure-bearing object after the pressure-bearing object is subjected to pressure.

[0066] Pressure-sensitive paper is a special type of paper that is pressure-sensitive. When pressure is applied to the paper, it changes color, and this change is related to the amount of pressure applied. When the paper is placed on the surface of an object, the pressure on the object causes the paper to change color.

[0067] Specifically, after the pressure-bearing object is subjected to pressure, an image of the pressure-sensitive paper disposed on the surface of the pressure-bearing object can be acquired based on the image acquisition device, and the image is the pressure-sensitive image.

[0068] In the embodiment of the present invention, the pressure-bearing object is subjected to pressure, and a pressure-sensitive image is obtained through the pressure-sensitive paper provided on the surface of the pressure-bearing object.

[0069] Step 120: After extracting the color information of the pressure-sensitive image, determine a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image.

[0070] The color information of the image can be understood as the red brightness value of each pixel in the image in the red channel, the green brightness value in the green channel, and the blue brightness value in the blue channel.

[0071] Specifically, after the pressure sensing image is acquired, the pressure sensing image can be image-processed based on an image processing software to extract color information of the pressure sensing image, and specifically, red luminance values of each pixel in the pressure sensing image in a red channel, green luminance values of each pixel in the pressure sensing image in a green channel, and blue luminance values of each pixel in the pressure sensing image in a blue channel can be extracted. Furthermore, color features of the pressure sensing image can be determined according to the color information of the pressure sensing image, and specifically, a maximum red luminance value of the pressure sensing image in the red channel, a maximum green luminance value of the pressure sensing image in the green channel, and a maximum blue luminance value of the pressure sensing image in the blue channel can be determined, and a feature map of the pressure sensing image can be determined according to luminance values of each pixel in the pressure sensing image in a channel corresponding to the maximum luminance value.

[0072] It can be known that the feature map of the pressure sensing image is determined by the red luminance values of each pixel in the pressure sensing image in the red channel, the green luminance values of each pixel in the pressure sensing image in the green channel, or the blue luminance values of each pixel in the pressure sensing image in the blue channel.

[0073] In the embodiment of the present application, by extracting the color information of the acquired pressure sensing image, the red luminance values of each pixel in the pressure sensing image in the red channel, the green luminance values of each pixel in the pressure sensing image in the green channel, and the blue luminance values of each pixel in the pressure sensing image in the blue channel are determined, and by comparing the maximum red luminance value of the pressure sensing image in the red channel, the maximum green luminance value of the pressure sensing image in the green channel, and the maximum blue luminance value of the pressure sensing image in the blue channel, the feature map of the pressure sensing image with the most obvious effect is determined.

[0074] Step 130: drawing feature contour lines based on the feature map of the pressure sensing image to obtain an isometric image corresponding to the pressure sensing image.

[0075] Specifically, after the feature map of the pressure sensing image is determined, feature contour lines can be drawn based on the feature map of the pressure sensing image, and furthermore, an image composed of the feature contour lines drawn by the feature map of the pressure sensing image can be determined as an isometric image corresponding to the pressure sensing image.

[0076] In the embodiment of the present application, the feature map of the pressure sensing image can be used to draw feature contour lines, and after the feature contour lines are drawn based on the feature map of the pressure sensing image, an image composed of the feature contour lines drawn by the feature map of the pressure sensing image can be determined as an isometric image corresponding to the pressure sensing image, so that the isometric image corresponding to the pressure sensing image is determined.

[0077] Step 140: image segmenting the isometric image according to the feature contour lines, and determining uniformity of pressure borne by the object according to an area of a maximum segmented image and an area of the pressure sensing image.

[0078] Specifically, the contour image can be segmented along characteristic contour lines based on image segmentation to obtain at least one segmented image. The area of ​​each segmented image can then be determined, and the segmented image with the largest area can be identified as the maximum segmented image. After determining the area of ​​the pressure-sensitive image, the ratio of the area of ​​the maximum segmented image to the area of ​​the pressure-sensitive image (i.e., the area ratio of the maximum segmented image to the pressure-sensitive image) can be used to determine the uniformity of pressure on the pressure-sensitive object.

[0079] In an embodiment of the present invention, at least one segmented image can be obtained by performing image segmentation on the contour image along the characteristic contour line. After the segmented image with the largest area is determined as the maximum segmented image, the uniformity of the pressure borne by the pressurized object is determined by the area ratio of the maximum segmented image and the pressure-sensitive image, and the uniformity detection of the pressure borne by the pressurized object is achieved without using a pressure sensor.

[0080] A pressure uniformity detection method provided by an embodiment of the present invention includes: obtaining a pressure-sensitive image, wherein the pressure-sensitive image is an image of pressure-sensitive paper set on the surface of the pressure-sensitive object after the pressure-sensitive object is subjected to pressure; after extracting color information of the pressure-sensitive image, determining a feature map of the pressure-sensitive image based on the color information of the pressure-sensitive image; drawing feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image; performing image segmentation on the contour image according to the feature contour lines, and determining the uniformity of the pressure borne by the pressure-sensitive object based on the area of ​​the maximum segmented image and the area of ​​the pressure-sensitive image. The above technical solution obtains a pressure-sensitive image indicating the pressure borne by the pressure-sensitive object through a pressure-sensitive paper set on the surface of the pressure-sensitive object, and then extracts the color information of the pressure-sensitive image to determine the red brightness value of each pixel in the pressure-sensitive image in the red channel, the green brightness value in the green channel, and the blue brightness value in the blue channel, so as to determine the feature map with the most obvious pressure-sensitive image effect, draw feature contour lines based on the feature map of the pressure-sensitive image, determine the image composed of the feature contour lines drawn from the feature map of the pressure-sensitive image as the contour image corresponding to the pressure-sensitive image, and segment the contour image along the feature contour lines to obtain at least one segmented image, and after determining the segmented image with the largest area as the maximum segmented image, determine the uniformity of the pressure borne by the pressure-sensitive object by the area ratio of the maximum segmented image and the pressure-sensitive image, and realize the uniformity detection of the pressure borne by the pressure-sensitive object without using a pressure sensor, thereby reducing the cost and complexity of the pressure uniformity detection.

[0081] Figure 2 This is a flow chart of another pressure uniformity detection method provided by an embodiment of the present invention. This embodiment is specific based on the above embodiment. Figure 2 As shown, in this embodiment, the method may further include:

[0082] Step 210: Acquire a pressure-sensitive image.

[0083] The pressure-sensitive image is an image of a pressure-sensitive paper provided on the surface of the pressure-bearing object after the pressure-bearing object is subjected to pressure.

[0084] Specifically, after the pressure-bearing object is subjected to pressure, an image of the pressure-sensitive paper disposed on the surface of the pressure-bearing object can be acquired based on an image scanning device, and the image is the pressure-sensitive image.

[0085] In the embodiment of the present invention, a pressure-sensitive image indicating the pressure borne by the pressure-bearing object is obtained by using a pressure-sensitive paper provided on the surface of the pressure-bearing object.

[0086] Step 220: After extracting the color information of the pressure-sensitive image, determine a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image.

[0087] In one embodiment, step 220 may specifically include: extracting the red information of the pressure-sensitive image in the red channel, the blue information of the green channel, and the blue information of the blue channel; and determining the feature map of the pressure-sensitive image based on the color information with the most obvious effect among the red information of the pressure-sensitive image in the red channel, the blue information of the green channel, and the blue information of the blue channel.

[0088] Figure 3 A two-dimensional schematic diagram of a pressure-sensitive image and color information of the pressure-sensitive image in another pressure uniformity detection method provided by an embodiment of the present invention, such as Figure 3 As shown, the original image is a pressure-sensitive image, the image under R represents the red information of the pressure-sensitive image in the red channel, the image under G represents the blue information of the pressure-sensitive image in the green channel, and the image under B represents the blue information of the pressure-sensitive image in the blue channel. Figure 4 A three-dimensional schematic diagram of color information of a pressure-sensitive image in another pressure uniformity detection method provided by an embodiment of the present invention, such as Figure 4 As shown, the horizontal axis and vertical axis represent the length and width of the pressure-sensitive image, respectively, and the vertical axis represents the red brightness value of each pixel in the pressure-sensitive image in the red channel, the green brightness value in the green channel, and the blue brightness value in the blue channel.

[0089] Specifically, after obtaining the pressure-sensitive image, the pressure-sensitive image can be processed to extract the color information of the pressure-sensitive image. Specifically, the specific color to be analyzed can be selected based on the eyedropper tool or color selector of the image processing software, and the red information of the pressure-sensitive image in the red channel, the blue information in the green channel, and the blue information in the blue channel can be determined based on the image processing software, that is, the red brightness value of each pixel in the pressure-sensitive image in the red channel, the green brightness value in the green channel, and the blue brightness value in the blue channel can be determined. Furthermore, the feature map of the pressure-sensitive image can be determined based on the color information of the pressure-sensitive image. Specifically, the red brightness mean value of the pressure-sensitive image in the red channel, the green brightness mean value of the green channel, and the blue brightness mean value of the pressure-sensitive image in the blue channel can be determined, and the feature map of the pressure-sensitive image can be determined based on the brightness value of the channel corresponding to the maximum brightness mean value of each pixel in the pressure-sensitive image, so as to achieve the feature map with the most obvious pressure-sensitive image effect.

[0090] In an embodiment of the present invention, by extracting the color information of the acquired pressure-sensitive image, the red brightness value of each pixel point in the pressure-sensitive image in the red channel, the green brightness value in the green channel, and the blue brightness value in the blue channel are determined. By comparing the average red brightness value in the red channel, the average green brightness value in the green channel, and the average blue brightness value in the blue channel of the pressure-sensitive image, the characteristic map with the most obvious pressure-sensitive image effect is determined.

[0091] Step 230: Smoothing the feature map based on average pooling and / or a preset convolution kernel to obtain an intermediate feature map.

[0092] The principle of average pooling is to divide the input feature map (usually two-dimensional, but can also be three-dimensional or higher) into non-overlapping rectangular areas and average the eigenvalues ​​in each area to obtain a summarized eigenvalue. The physical meaning of average pooling is to reduce the spatial dimension of the feature map. By averaging the eigenvalues ​​in each area, the average feature representation of the corresponding area can be obtained, which helps to extract the overall information of the input features and retain a certain degree of spatial invariance. Average pooling can effectively reduce the size of the feature map and has a certain degree of robustness to noise and small changes in the input. Therefore, average pooling reduces the spatial dimension of the feature map by dividing the feature map and averaging the eigenvalues ​​in each area, reducing the number of parameters and the amount of calculation, while extracting overall information and maintaining a certain degree of spatial invariance.

[0093] The principle of convolution is to obtain the cross-information between two functions (or signals) by performing a convolution operation on them. In image processing, the physical meaning of convolution is to extract features from images. The convolution layer slides a convolution kernel (also called a filter) on the input image, convolves the convolution kernel with the local area of ​​the input image, and obtains an output feature map. Through the convolution operation, each pixel of the input image interacts with the surrounding pixels, thereby achieving local perception and feature extraction. The convolution operation is translation-invariant, that is, for the translation of the input image, the corresponding position of the output feature map will also be translated accordingly. Therefore, in image processing and CNN, the physical meaning of the convolution operation is to extract features from images, and it has translation-invariance, thereby achieving local perception and position invariance.

[0094] Figure 5 The result of average pooling the feature map of the pressure-sensitive image in another pressure uniformity detection method provided by an embodiment of the present invention is: Figure 6 This is the result of convolving the feature map of the pressure-sensitive image in another pressure uniformity detection method provided by an embodiment of the present invention.

[0095] Specifically, the feature map of the pressure-sensitive image can be smoothed by using average pooling according to the number of pixels in the pressure-sensitive image to reduce the influence of noise and details, and the following is obtained: Figure 5 The result shown. You can also use a preset convolution kernel to smooth the feature map of the pressure-sensitive image. Specifically, you can use a 3*3 convolution kernel to smooth the feature map of the pressure-sensitive image. The smoothing of the feature map can be obtained as follows Figure 6 The results shown.

[0096] When smoothing a feature map using average pooling and a preset convolution kernel, you can first perform an initial smoothing process on the feature map using average pooling, then perform a secondary smoothing process on the feature map using the preset convolution kernel to obtain an intermediate feature map. You can also first perform an initial smoothing process on the feature map using the preset convolution kernel, then perform a secondary smoothing process on the feature map using average pooling to obtain an intermediate feature map.

[0097] In an embodiment of the present invention, based on average pooling, a preset convolution kernel, or average pooling and a preset convolution kernel, the feature map is smoothed to obtain an intermediate feature map.

[0098] Step 240: interpolate the intermediate feature map to obtain a target feature map.

[0099] In one implementation, step 240 may specifically include: interpolating the intermediate feature map based on a cubic polynomial to obtain the target feature map.

[0100] Specifically, in order to obtain richer information of the pressure-sensitive image, the intermediate feature image may be interpolated. Specifically, the intermediate feature map may be interpolated based on a cubic polynomial to obtain a target feature map.

[0101] Cubic polynomial interpolation constructs a cubic polynomial function based on the coordinates of known data points, allowing for interpolation predictions between data points. A cubic polynomial function is constructed using known data points so that it passes through every data point and has a smooth curve shape between adjacent data points. The physical meaning of cubic polynomial interpolation is to predict function values ​​at unknown locations by interpolating between known data points. Through cubic polynomial interpolation, a smooth curve can be constructed based on the trend and shape of known data points to enable predictions and estimates between data points. The smooth nature of the interpolation function allows it to be used to predict function values ​​at unknown locations, with continuous changes between adjacent data points.

[0102] In practical applications, other interpolation methods or higher-order polynomials can be used for interpolation, and techniques such as curve fitting can be used to approximate the data.

[0103] In the embodiment of the present invention, the target feature map of the pressure-sensitive image is obtained by interpolating the intermediate feature map.

[0104] Step 250: Draw feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image.

[0105] In one implementation, step 250 may specifically include:

[0106] The characteristic values ​​with the same numerical value in the characteristic map are connected to draw the characteristic contour line to obtain the contour image corresponding to the pressure-sensitive image.

[0107] Figure 7 This is a contour image corresponding to a pressure-sensitive image in another pressure uniformity detection method provided by an embodiment of the present invention.

[0108] Specifically, after determining the target feature map of the pressure-sensitive image, feature contour lines can be drawn based on the target feature map of the pressure-sensitive image. Specifically, feature values ​​with the same numerical value in the feature map can be connected to draw feature contour lines. Figure 5 The image shown is determined to be the contour image corresponding to the pressure-sensitive image.

[0109] In an embodiment of the present invention, after drawing feature contour lines based on the target feature map of the pressure-sensitive image, the image formed by the feature contour lines drawn from the target feature map of the pressure-sensitive image is determined as the contour image corresponding to the pressure-sensitive image, thereby determining the contour image corresponding to the pressure-sensitive image.

[0110] Step 260: Segment the contour image according to the characteristic contour lines.

[0111] In one embodiment, step 260 may specifically include: using the characteristic contour line as a segmentation line to segment the contour image to obtain a segmented image of the contour image.

[0112] Specifically, the contour image may be segmented based on image cutting. Specifically, the contour image may be segmented using characteristic contour lines as segmentation lines to obtain at least one segmented image of the contour image.

[0113] In the embodiment of the present invention, image segmentation of the contour image is implemented based on the characteristic contour lines to obtain at least one segmented image of the contour image.

[0114] Step 270: Determine the uniformity of the pressure on the pressurized object according to the area of ​​the largest segmented image and the area of ​​the pressure-sensitive image.

[0115] In one embodiment, step 270 may specifically include: determining the area ratio of the maximum segmented image to the pressure-sensitive image based on the area of ​​the maximum segmented image and the area of ​​the pressure-sensitive image; and determining the area ratio of the maximum segmented image to the pressure-sensitive image as the uniformity of the pressure borne by the pressurized object.

[0116] Specifically, after obtaining the segmented images of the contour image, the area of ​​each segmented image can be determined. After comparing the areas of the segmented images, the segmented image with the largest area can be determined as the maximum segmented image. The area of ​​the pressure-sensitive image can also be determined based on the length and width of the pressure-sensitive image. Furthermore, the area ratio of the maximum segmented image to the pressure-sensitive image can be determined based on the area of ​​the maximum segmented image and the area of ​​the pressure-sensitive image. Furthermore, the area ratio of the maximum segmented image to the pressure-sensitive image can be used to determine the uniformity of pressure on the pressure-sensitive object.

[0117] In the embodiment of the present invention, the uniformity of the pressure borne by the pressurized object is determined by the area ratio of the maximum segmented image and the pressure-sensitive image, and the uniformity detection of the pressure borne by the pressurized object is achieved without using a pressure sensor.

[0118] The pressure uniformity detection method provided by an embodiment of the present invention includes: obtaining a pressure-sensitive image; extracting color information of the pressure-sensitive image, and determining a feature map of the pressure-sensitive image based on the color information of the pressure-sensitive image; smoothing the color features based on average pooling and / or a preset convolution kernel to obtain intermediate color features; interpolating the intermediate color features to obtain target color features; drawing feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image; segmenting the contour image according to the feature contour lines; and determining the uniformity of the pressure borne by the pressurized object based on the area of ​​the maximum segmented image and the area of ​​the pressure-sensitive image. The above technical solution obtains a pressure-sensitive image indicating the pressure borne by the pressure-sensitive object through a pressure-sensitive paper set on the surface of the pressure-sensitive object, extracts the color information of the pressure-sensitive image to determine the red brightness value of each pixel in the pressure-sensitive image in the red channel, the green brightness value in the green channel, and the blue brightness value in the blue channel. By comparing the average red brightness value of the pressure-sensitive image in the red channel, the average green brightness value in the green channel, and the average blue brightness value in the blue channel, the feature map with the most obvious pressure-sensitive image effect is determined. Based on average pooling, a preset convolution kernel, or average pooling and a preset convolution kernel, the feature map is smoothed to obtain an intermediate feature map. The target feature map of the pressure-sensitive image is interpolated, and feature contour lines are drawn based on the target feature map of the pressure-sensitive image. The image composed of the feature contour lines drawn from the target feature map of the pressure-sensitive image is determined as the contour image corresponding to the pressure-sensitive image, so as to determine the contour image corresponding to the pressure-sensitive image. The contour image is segmented along the feature contour lines to obtain at least one segmented image. After the segmented image with the largest area is determined as the maximum segmented image, the uniformity of the pressure borne by the pressurized object is determined by the area ratio of the maximum segmented image and the pressure-sensitive image. The uniformity detection of the pressure borne by the pressurized object is realized without using a pressure sensor, thereby reducing the cost and complexity of the pressure uniformity detection.

[0119] The system captures the physical characteristics of pressure-sensitive paper and converts them into digital data. This data is then processed to more accurately identify pressure distribution, capturing the pressure distribution on the paper with high precision and speed. This data is then converted into digital form for better understanding and analysis. During data processing, various algorithms and techniques, such as image processing, average pooling, convolution, interpolation, and threshold segmentation, are applied to extract key features and perform data analysis. These processes further optimize and enhance the accuracy of pressure distribution identification. Real-time acquisition and processing of the physical characteristics of the pressure-sensitive paper eliminates the need for human intervention, improving efficiency and accuracy. Digital data representation makes it easier to store, transmit, and share this information, facilitating subsequent analysis and application.

[0120] Figure 8 This is a schematic diagram of the structure of a pressure uniformity detection device provided by an embodiment of the present invention. This device can be used to detect the uniformity of pressure on a pressurized object without using a pressure sensor. The device can be implemented using software and / or hardware and is generally integrated into a computer device.

[0121] like Figure 8 As shown, the device includes:

[0122] An acquisition module 810 is configured to acquire a pressure-sensitive image, wherein the pressure-sensitive image is an image of a pressure-sensitive paper disposed on a surface of a pressure-sensitive object after the pressure-sensitive object is subjected to pressure;

[0123] an extraction module 820, configured to extract color information of the pressure-sensitive image and determine a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image;

[0124] A drawing module 830 is configured to draw feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image;

[0125] The execution module 840 is configured to segment the contour image according to the characteristic contour lines, and determine the uniformity of the pressure borne by the pressurized object according to the area of ​​the largest segmented image and the area of ​​the pressure-sensitive image.

[0126] The pressure uniformity detection device provided in this embodiment obtains a pressure-sensitive image, wherein the pressure-sensitive image is an image of pressure-sensitive paper provided on the surface of the pressure-sensitive object after the pressure-sensitive object is subjected to pressure; after extracting color information of the pressure-sensitive image, a feature map of the pressure-sensitive image is determined based on the color information of the pressure-sensitive image; characteristic contour lines are drawn based on the characteristic map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image; the contour image is segmented according to the characteristic contour lines, and the uniformity of the pressure borne by the pressure-sensitive object is determined based on the area of ​​the maximum segmented image and the area of ​​the pressure-sensitive image. The above technical solution obtains a pressure-sensitive image indicating the pressure borne by the pressure-sensitive object through a pressure-sensitive paper set on the surface of the pressure-sensitive object, and then extracts the color information of the pressure-sensitive image to determine the red brightness value of each pixel in the pressure-sensitive image in the red channel, the green brightness value in the green channel, and the blue brightness value in the blue channel, so as to determine the feature map with the most obvious pressure-sensitive image effect, draw feature contour lines based on the feature map of the pressure-sensitive image, determine the image composed of the feature contour lines drawn from the feature map of the pressure-sensitive image as the contour image corresponding to the pressure-sensitive image, and segment the contour image along the feature contour lines to obtain at least one segmented image, and after determining the segmented image with the largest area as the maximum segmented image, determine the uniformity of the pressure borne by the pressure-sensitive object by the area ratio of the maximum segmented image and the pressure-sensitive image, and realize the uniformity detection of the pressure borne by the pressure-sensitive object without using a pressure sensor, thereby reducing the cost and complexity of the pressure uniformity detection.

[0127] Based on the above embodiment, the extraction module 820 is specifically configured to:

[0128] Extract the red information of the pressure-sensitive image in the red channel, the blue information of the green channel, and the blue information of the blue channel; and determine the color characteristics of the pressure-sensitive image based on the color information with the most obvious effect among the red information of the red channel, the blue information of the green channel, and the blue information of the blue channel of the pressure-sensitive image.

[0129] Based on the above embodiment, the device further includes:

[0130] A processing module is used to smooth the color features based on average pooling and / or a preset convolution kernel to obtain intermediate color features; and interpolate the intermediate color features to obtain target color features.

[0131] In one embodiment, interpolating the intermediate color features to obtain target color features includes:

[0132] The intermediate color feature is interpolated based on a cubic polynomial to obtain the target color feature.

[0133] Based on the above embodiment, the drawing module 830 is specifically configured to:

[0134] The target color features of the pressure-sensitive image having consistent feature values ​​are connected to draw the feature contour lines on the pressure-sensitive image to obtain the contour image corresponding to the pressure-sensitive image.

[0135] Based on the above embodiment, the execution module 840 is specifically configured to:

[0136] The contour image is segmented using the characteristic contour line as a segmentation line to obtain a segmented image of the contour image; the area ratio of the maximum segmented image to the pressure-sensitive image is determined based on the area of ​​the maximum segmented image and the area of ​​the pressure-sensitive image; and the area ratio of the maximum segmented image to the pressure-sensitive image is determined as the uniformity of the pressure borne by the pressurized object.

[0137] The pressure uniformity detection device provided in the embodiment of the present invention can execute the pressure uniformity detection method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of executing the pressure uniformity detection method.

[0138] It is worth noting that in the embodiment of the above-mentioned pressure uniformity detection device, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0139] Figure 9 A schematic structural diagram of a computer device provided in an embodiment of the present invention. Figure 9 A block diagram of an exemplary computer device 9 suitable for use in implementing embodiments of the present invention is shown. Figure 9 The computer device 9 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0140] like Figure 9 As shown, the computer device 9 is in the form of a general-purpose computing electronic device. Components of the computer device 9 may include, but are not limited to, one or more processors or processing units 16, a system memory 28, and a bus 18 connecting various system components (including the system memory 28 and the processing unit 16).

[0141] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0142] The computer device 9 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 9, including volatile and non-volatile media, removable and non-removable media.

[0143] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Computer device 9 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be configured to read and write non-removable, non-volatile magnetic media ( Figure 9 Not shown, often called a "hard drive"). Although Figure 9 Not shown, a magnetic disk drive for reading and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of various embodiments of the present invention.

[0144] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0145] The computer device 9 may also communicate with one or more external devices 14 (e.g., a keyboard, a pointing device, a display 24, etc.), one or more devices that enable a user to interact with the computer device 9, and / or any device that enables the computer device 9 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). Such communication may be performed via an input / output (I / O) interface 22. Furthermore, the computer device 9 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 20. Figure 9 As shown, the network adapter 20 communicates with other modules of the computer device 9 via the bus 18. Figure 9 Not shown, other hardware and / or software modules may be used in conjunction with the computer device 9, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0146] The processing unit 16 executes various functional applications and page displays by running programs stored in the system memory 28, for example, implementing the pressure uniformity detection method provided in an embodiment of the present invention, which includes:

[0147] Acquiring a pressure-sensitive image, wherein the pressure-sensitive image is an image of a pressure-sensitive paper disposed on a surface of the pressure-bearing object after the pressure-bearing object is subjected to pressure;

[0148] After extracting the color information of the pressure-sensitive image, determining a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image;

[0149] Drawing feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image;

[0150] The contour image is segmented according to the characteristic contour lines, and the uniformity of the pressure borne by the pressurized object is determined according to the area of ​​the largest segmented image and the area of ​​the pressure-sensitive image.

[0151] Of course, those skilled in the art will appreciate that the processor may also implement the technical solution of the pressure uniformity detection method provided in any embodiment of the present invention.

[0152] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the pressure uniformity detection method provided in an embodiment of the present invention is implemented, for example, and the method includes:

[0153] Acquiring a pressure-sensitive image, wherein the pressure-sensitive image is an image of a pressure-sensitive paper disposed on a surface of the pressure-bearing object after the pressure-bearing object is subjected to pressure;

[0154] After extracting the color information of the pressure-sensitive image, determining a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image;

[0155] Drawing feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image;

[0156] The contour image is segmented according to the characteristic contour lines, and the uniformity of the pressure borne by the pressurized object is determined according to the area of ​​the largest segmented image and the area of ​​the pressure-sensitive image.

[0157] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device.

[0158] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0159] Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0160] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0161] Those skilled in the art will appreciate that the modules or steps of the present application described above can be implemented in general computing devices, which can be centralized on a single computing device or distributed over a network of multiple computing devices. Alternatively, they can be implemented by computer-executable program code stored in a storage device and executed by a computing device, or they can be implemented as individual integrated circuit modules, or a plurality of modules or steps can be implemented as a single integrated circuit module. Thus, the present application is not limited to any particular combination of hardware and software.

[0162] In addition, the acquisition, storage, use, processing, etc. of data in the technical solutions of the present application comply with relevant provisions of national laws and regulations.

[0163] Note that the above are only preferred embodiments of the present application and the technical principles applied. Those skilled in the art will understand that the present application is not limited to the specific embodiments herein, and that various obvious changes, re-adjustments and substitutions can be made by those skilled in the art without departing from the scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments, and can include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A pressure uniformity detection method, characterized in that: include: Acquiring a pressure-sensitive image, wherein the pressure-sensitive image is an image of a pressure-sensitive paper disposed on a surface of the pressure-bearing object after the pressure-bearing object is subjected to pressure; After extracting the color information of the pressure-sensitive image, determining a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image; Drawing feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image; The contour image is segmented according to the characteristic contour lines, and the uniformity of the pressure borne by the pressurized object is determined according to the area of ​​the largest segmented image and the area of ​​the pressure-sensitive image.

2. The pressure uniformity detection method according to claim 1, characterized in that: After extracting the color information of the pressure-sensitive image, determining a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image includes: Extracting red information in a red channel, blue information in a green channel, and blue information in a blue channel of the pressure-sensitive image; The feature map of the pressure-sensitive image is determined according to color information having the most obvious effect among the red information in the red channel, the blue information in the green channel, and the blue information in the blue channel of the pressure-sensitive image.

3. The pressure uniformity detection method according to claim 1, characterized in that: Before drawing feature contour lines based on the feature map of the pressure-sensitive image, the method further includes: Smoothing the feature map based on average pooling and / or a preset convolution kernel to obtain an intermediate feature map; The intermediate feature map is interpolated to obtain a target feature map.

4. The pressure uniformity detection method according to claim 3, characterized in that: Interpolating the intermediate feature map to obtain a target feature map includes: The intermediate feature map is interpolated based on a cubic polynomial to obtain the target feature map.

5. The pressure uniformity detection method according to claim 4, characterized in that: Drawing feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image includes: The characteristic values ​​with the same numerical value in the characteristic map are connected to draw the characteristic contour line to obtain the contour image corresponding to the pressure-sensitive image.

6. The pressure uniformity detection method according to claim 1, characterized in that: Performing image segmentation on the contour image according to the characteristic contour lines includes: The contour image is segmented using the characteristic contour line as a segmentation line to obtain a segmented image of the contour image.

7. The pressure uniformity detection method according to claim 1, characterized in that: Determining the uniformity of the pressure borne by the pressurized object according to the area of ​​the largest segmented image and the area of ​​the pressure-sensitive image includes: determining an area ratio of the maximum segmented image to the pressure-sensitive image according to the area of ​​the maximum segmented image and the area of ​​the pressure-sensitive image; The area ratio of the maximum segmented image to the pressure-sensitive image is determined as the uniformity of the pressure borne by the pressurized object.

8. A pressure uniformity detection device, characterized in that: include: an acquisition module, configured to acquire a pressure-sensitive image, wherein the pressure-sensitive image is an image of a pressure-sensitive paper disposed on a surface of a pressure-bearing object after the pressure-bearing object is subjected to pressure; an extraction module, configured to extract color information of the pressure-sensitive image and determine a feature map of the pressure-sensitive image according to the color information of the pressure-sensitive image; a drawing module, configured to draw feature contour lines based on the feature map of the pressure-sensitive image to obtain a contour image corresponding to the pressure-sensitive image; An execution module is configured to segment the contour image according to the characteristic contour lines, and determine the uniformity of the pressure borne by the pressurized object according to the area of ​​the largest segmented image and the area of ​​the pressure-sensitive image.

9. A computer device, characterized in that: The computer device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the pressure uniformity detection method as described in any one of claims 1 to 7.

10. A storage medium containing computer-executable instructions, characterized in that: When the computer executable instructions are executed by a computer processor, they are used to perform the pressure uniformity detection method according to any one of claims 1 to 7.

Images