Design method and system for improving appearance quality of tire

Abstract

The invention relates to the technical field of radial tires, and discloses a design method and system for improving the appearance quality of a tire, and the method comprises the steps: obtaining a real-time tire image of a to-be-designed tire, carrying out the image processing of the real-time tire image, and determining a corresponding tire gray image; carrying out image edge detection on the tire grayscale image, and determining a to-be-detected area image on the tire grayscale image; acquiring a preset detection area image, and calculating a design deviation factor of the to-be-designed tire according to a relationship between the to-be-detected area image and the preset detection area image; whether the tire to be designed needs to be adjusted or not is judged according to the design deviation factor, and if yes, the machine head adjusting width is set based on the design deviation factor.The machine head width is adjusted, the shape of the tire blank is changed, interference fit between the tire blank and the side plate in the mold closing process is avoided by changing the shape of the tire blank, and therefore rubber edges are avoided; the tire appearance quality is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of radial tires, and in particular to a design method and system for improving the appearance quality of tires. Background Art

[0002] As the only part of a vehicle that contacts the ground, tires not only bear important functions such as supporting the vehicle body, transmitting power and braking force, but are also directly related to driving safety, handling stability, and riding comfort. With the development of the automobile industry and the improvement of consumers' aesthetic needs, the appearance design of tires has also received more and more attention.

[0003] Traditional tire design focuses on improving performance, such as wear resistance, grip and load-bearing capacity, while the appearance is relatively limited. However, an attractive tire appearance can enhance the overall beauty of the vehicle, improve the brand image, and even become one of the important factors for some consumers to choose tires. Therefore, developing a design method that can effectively improve the quality of tire appearance is of great significance to meet market demand and improve product competitiveness. Summary of the invention

[0004] The embodiment of the present invention provides a design method and system for improving the appearance quality of a tire, so as to solve the technical problem that the generation of tire rubber edges cannot be avoided in the prior art and the appearance quality of the tire cannot be effectively improved.

[0005] In order to achieve the above object, the present invention provides a design method for improving the appearance quality of a tire, comprising:

[0006] Acquire a real-time tire image of the tire to be designed, and perform image processing on the real-time tire image to determine a corresponding tire grayscale image;

[0007] Performing image edge detection on the tire grayscale image, and determining an image of a region to be detected on the tire grayscale image;

[0008] Acquire a preset detection area image, and calculate a design deviation factor of the tire to be designed according to a relationship between the image of the area to be detected and the image of the preset detection area;

[0009] It is determined whether the tire to be designed needs to be adjusted according to the design deviation factor, and if so, the head adjustment width is set based on the design deviation factor.

[0010] Furthermore, when acquiring a real-time tire image of the tire to be designed and performing image processing on the real-time tire image to determine a corresponding tire grayscale image, it includes:

[0011] Preprocessing the real-time tire image, wherein the preprocessing includes eliminating noise and outliers;

[0012] Dividing the preprocessed real-time tire image into multiple sub-regions based on a non-overlapping window strategy;

[0013] Enhance the contrast in the sub-region based on the local histogram equalization algorithm;

[0014] According to a preset grayscale conversion function, the pixel value of each sub-region is mapped to a new grayscale level;

[0015] Grayscale conversion is performed on each sub-region based on the new grayscale level, and the grayscale image of the tire is obtained by recombining the sub-regions.

[0016] Furthermore, when performing image edge detection on the tire grayscale image and determining the image of the area to be detected on the tire grayscale image, it includes:

[0017] Performing noise reduction processing on the tire grayscale image based on a Gaussian filter, wherein parameters of the Gaussian filter are dynamically adjusted according to features of the image;

[0018] Calculating the gradient magnitude and direction of the tire grayscale image after noise reduction, and using at least two gradient operators of different scales to enhance the extraction of edge information;

[0019] Refining the edge candidate points in the gradient magnitude image by a non-maximum suppression method to determine potential edge positions;

[0020] Applying a dual threshold algorithm to screen the potential edge positions to generate a continuous edge profile, wherein the dual threshold algorithm includes a low threshold and a high threshold for distinguishing strong edges from weak edges;

[0021] Using an edge tracking strategy to connect the strong edge with adjacent weak edges to form a complete edge structure;

[0022] Output the final edge detection result, which is a binary image containing the identified edges or a grayscale image marked with edge intensity.

[0023] Furthermore, when calculating the design deviation factor of the tire to be designed according to the relationship between the image of the area to be detected and the image of the preset detection area, it includes:

[0024] Determine a plurality of pixel points on the image of the area to be detected, and extract corresponding pixel feature values;

[0025] Extracting preset pixel feature values ​​on the preset detection area based on pixel point correspondence;

[0026] Calculate the pixel feature difference between each pixel feature value and the corresponding preset pixel feature value respectively;

[0027] Obtaining a preset pixel feature difference value, and dividing all pixel feature difference values ​​less than the preset pixel feature difference value into a first pixel feature difference value set;

[0028] Dividing all pixel feature difference values ​​equal to the preset pixel feature difference value into a second pixel feature difference value set;

[0029] Dividing all pixel feature difference values ​​greater than the preset pixel feature difference value into a third pixel feature difference value set;

[0030] Calculate a sub-deviation factor for each pixel point according to the first pixel feature difference set, the second pixel feature difference set, and the third pixel feature difference set;

[0031] A design deviation factor of the tire to be designed is calculated based on all the sub-deviation factors.

[0032] Further, when calculating the sub-deviation factor of each pixel point according to the first pixel feature difference set, the second pixel feature difference set, and the third pixel feature difference set, it includes:

[0033] P=h×ys×yt

[0034]

[0035] Among them, P is the sub-bias factor of the pixel point, h is the calculation coefficient of the sub-bias factor, ys is the pixel feature difference of the s-th pixel point, yt is the weight of the s-th pixel point, w1 is the calculation coefficient corresponding to the first pixel feature difference value set, n1 is the number of pixel feature differences in the first pixel feature difference value set, ai is the i-th pixel feature difference in the first pixel feature difference value set, b1 is the average value of the pixel feature differences in the first pixel feature difference value set, w2 is the calculation coefficient corresponding to the second pixel feature difference value set, n2 is the number of pixel feature differences in the second pixel feature difference value set, cj is the j-th pixel feature difference in the second pixel feature difference value set, b2 is the average value of the pixel feature differences in the second pixel feature difference value set, w3 is the calculation coefficient corresponding to the third pixel feature difference value set, n3 is the number of pixel feature differences in the third pixel feature difference value set, fe is the e-th pixel feature difference in the third pixel feature difference value set, and b3 is the average value of the pixel feature differences in the third pixel feature difference value set.

[0036] Furthermore, when calculating the design deviation factor of the tire to be designed based on all the sub-deviation factors, it includes:

[0037] Extracting the same sub-bias factor from all sub-bias factors and obtaining multiple sub-bias factor sequences;

[0038] The first sub-deviation factor number Q1 of the statistical sub-deviation factor sequence;

[0039] Extract a sub-deviation factor from each of all sub-deviation factor sequences, and calculate the first sub-deviation factor and value R1;

[0040] Obtain a preset sub-deviation factor, eliminate all sub-deviation factor sequences that are smaller than the preset sub-deviation factor, and count the number of second sub-deviation factors Q2 of the remaining sub-deviation factor sequences;

[0041] Extracting a sub-deviation factor from each of the remaining sub-deviation factor sequences, and calculating a second sub-deviation factor and a value R2;

[0042] The design deviation factor of the tire to be designed is calculated according to the first sub-deviation factor quantity Q1, the second sub-deviation factor quantity Q2, the first sub-deviation factor sum value R1 and the second sub-deviation factor sum value R2.

[0043] Further, when calculating the design deviation factor of the tire to be designed according to the first sub-deviation factor quantity Q1, the second sub-deviation factor quantity Q2, the first sub-deviation factor sum value R1 and the second sub-deviation factor sum value R2, it includes:

[0044] The design deviation factor of the tire to be designed is calculated according to the following formula:

[0045]

[0046] Wherein, S is the design deviation factor of the tire to be designed, and t is the preset sub-deviation factor.

[0047] Furthermore, when judging whether the tire to be designed needs to be adjusted according to the design deviation factor, it includes:

[0048] Obtaining a preset design deviation factor, and judging whether the tire to be designed needs to be adjusted according to the relationship between the design deviation factor and the preset design deviation factor;

[0049] When the design deviation factor is less than the preset design deviation factor, it is determined that there is no need to adjust the tire to be designed;

[0050] When the design deviation factor is greater than or equal to the preset design deviation factor, it is determined that the tire to be designed needs to be adjusted.

[0051] Furthermore, when the head adjustment width is set based on the design deviation factor, it includes:

[0052] Presetting a plurality of design deviation factor intervals, wherein each design deviation factor interval includes a first preset design deviation factor and a second preset design deviation factor;

[0053] Presetting a plurality of preset adjustment widths, wherein each preset adjustment width corresponds to a design deviation factor interval one by one;

[0054] Traversing the design deviation factor in all deviation factor intervals, determining the design deviation factor interval corresponding to the design deviation factor, and determining the corresponding preset adjustment width;

[0055] The determined preset adjustment width is used as the head adjustment width.

[0056] In order to achieve the above object, the present invention also provides a design system for improving the appearance quality of a tire, comprising:

[0057] A processing module, used for acquiring a real-time tire image of the tire to be designed, and performing image processing on the real-time tire image to determine a corresponding tire grayscale image;

[0058] A determination module, used for performing image edge detection on the tire grayscale image, and determining an image of a region to be detected on the tire grayscale image;

[0059] A calculation module, used for acquiring a preset detection area image, and calculating a design deviation factor of the tire to be designed according to a relationship between the image of the area to be detected and the image of the preset detection area;

[0060] The adjustment module is used to determine whether the tire to be designed needs to be adjusted according to the design deviation factor, and if so, set the head adjustment width based on the design deviation factor.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] The present invention discloses a design method and system for improving the appearance quality of a tire. The method comprises: obtaining a real-time tire image of a tire to be designed, performing image processing on the real-time tire image, and determining a corresponding tire grayscale image; performing image edge detection on the tire grayscale image, and determining an image of an area to be detected on the tire grayscale image; obtaining an image of a preset detection area, and calculating a design deviation factor of the tire to be designed according to a relationship between the image of the area to be detected and the image of the preset detection area; judging whether it is necessary to adjust the tire to be designed according to the design deviation factor, and if so, setting a head adjustment width based on the design deviation factor. The present invention changes the shape of a tire blank by adjusting the width of the head, and further avoids interference fit between the tire blank and a side plate during mold closing by changing the shape of the tire blank, thereby avoiding the generation of a rubber edge and effectively improving the appearance quality of the tire. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0064] Figure 1 A schematic diagram showing a flow chart of a design method for improving the appearance quality of a tire in an embodiment of the present invention;

[0065] Figure 2 A schematic diagram of the structure of a design system for improving the appearance quality of a tire in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0066] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0067] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0068] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0069] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0070] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0071] like Figure 1As shown, an embodiment of the present invention discloses a design method for improving the appearance quality of a tire, comprising:

[0072] S110: acquiring a real-time tire image of the tire to be designed, and performing image processing on the real-time tire image to determine a corresponding tire grayscale image;

[0073] In some embodiments of the present application, when a real-time tire image of a tire to be designed is acquired and image processing is performed on the real-time tire image to determine a corresponding tire grayscale image, the process includes:

[0074] Preprocessing the real-time tire image, wherein the preprocessing includes eliminating noise and outliers;

[0075] Dividing the preprocessed real-time tire image into multiple sub-regions based on a non-overlapping window strategy;

[0076] Enhance the contrast in the sub-region based on the local histogram equalization algorithm;

[0077] According to a preset grayscale conversion function, the pixel value of each sub-region is mapped to a new grayscale level;

[0078] Grayscale conversion is performed on each sub-region based on the new grayscale level, and the grayscale image of the tire is obtained by recombining the sub-regions.

[0079] The beneficial effect of the above technical solution is that the present invention can ensure processing accuracy by converting real-time tire images into tire grayscale images, thereby laying a foundation for tire appearance design.

[0080] S120: performing image edge detection on the tire grayscale image, and determining an image of a region to be detected on the tire grayscale image;

[0081] In some embodiments of the present application, when performing image edge detection on the tire grayscale image and determining an image of a region to be detected on the tire grayscale image, the method includes:

[0082] Performing noise reduction processing on the tire grayscale image based on a Gaussian filter, wherein parameters of the Gaussian filter are dynamically adjusted according to features of the image;

[0083] Calculating the gradient magnitude and direction of the tire grayscale image after noise reduction, and using at least two gradient operators of different scales to enhance the extraction of edge information;

[0084] Refining the edge candidate points in the gradient magnitude image by a non-maximum suppression method to determine potential edge positions;

[0085] Applying a dual threshold algorithm to screen the potential edge positions to generate a continuous edge profile, wherein the dual threshold algorithm includes a low threshold and a high threshold for distinguishing strong edges from weak edges;

[0086] Using an edge tracking strategy to connect the strong edge with adjacent weak edges to form a complete edge structure;

[0087] Output the final edge detection result, which is a binary image containing the identified edges or a grayscale image marked with edge intensity.

[0088] In this embodiment, the dynamic adjustment of Gaussian filter parameters is based on the local contrast and texture complexity of the image.

[0089] In this embodiment, the gradient operator used includes a Sobel operator, a Scharr operator or a Prewitt operator.

[0090] In this embodiment, the dual threshold algorithm further includes an adaptive threshold determination mechanism for automatically setting a low threshold and a high threshold according to local image characteristics.

[0091] In this embodiment, the edge tracking strategy uses a heuristic search method that takes edge continuity and edge strength information into consideration.

[0092] The beneficial effect of the above technical solution is: to achieve specific calibration of areas that do not meet the conditions, and provide reliable data support for subsequent processing.

[0093] S130: Acquire a preset detection area image, and calculate a design deviation factor of the tire to be designed according to a relationship between the image of the area to be detected and the image of the preset detection area;

[0094] In some embodiments of the present application, when calculating the design deviation factor of the tire to be designed according to the relationship between the image of the area to be inspected and the image of the preset inspection area, it includes:

[0095] Determine a plurality of pixel points on the image of the area to be detected, and extract corresponding pixel feature values;

[0096] Extracting preset pixel feature values ​​on the preset detection area based on pixel point correspondence;

[0097] Calculate the pixel feature difference between each pixel feature value and the corresponding preset pixel feature value respectively;

[0098] Obtaining a preset pixel feature difference value, and dividing all pixel feature difference values ​​less than the preset pixel feature difference value into a first pixel feature difference value set;

[0099] Dividing all pixel feature difference values ​​equal to the preset pixel feature difference value into a second pixel feature difference value set;

[0100] Dividing all pixel feature difference values ​​greater than the preset pixel feature difference value into a third pixel feature difference value set;

[0101] Calculate a sub-deviation factor for each pixel point according to the first pixel feature difference set, the second pixel feature difference set, and the third pixel feature difference set;

[0102] A design deviation factor of the tire to be designed is calculated based on all the sub-deviation factors.

[0103] In this embodiment, the preset pixel feature difference can be set according to actual conditions.

[0104] The beneficial effect of the above technical solution is that the present invention calculates the sub-deviation factor of each pixel point according to the first pixel feature difference set, the second pixel feature difference set, and the third pixel feature difference set, which can ensure the calculation accuracy and avoid errors. At the same time, the design deviation factor of the tire to be designed is calculated according to all the sub-deviation factors, which ensures the convenience of calculation and avoids complex calculations.

[0105] In some embodiments of the present application, when calculating the sub-deviation factor of each pixel point according to the first pixel feature difference set, the second pixel feature difference set, and the third pixel feature difference set, it includes:

[0106] P=h×ys×yt

[0107]

[0108] Among them, P is the sub-bias factor of the pixel point, h is the calculation coefficient of the sub-bias factor, ys is the pixel feature difference of the s-th pixel point, yt is the weight of the s-th pixel point, w1 is the calculation coefficient corresponding to the first pixel feature difference value set, n1 is the number of pixel feature differences in the first pixel feature difference value set, ai is the i-th pixel feature difference in the first pixel feature difference value set, b1 is the average value of the pixel feature differences in the first pixel feature difference value set, w2 is the calculation coefficient corresponding to the second pixel feature difference value set, n2 is the number of pixel feature differences in the second pixel feature difference value set, cj is the j-th pixel feature difference in the second pixel feature difference value set, b2 is the average value of the pixel feature differences in the second pixel feature difference value set, w3 is the calculation coefficient corresponding to the third pixel feature difference value set, n3 is the number of pixel feature differences in the third pixel feature difference value set, fe is the e-th pixel feature difference in the third pixel feature difference value set, and b3 is the average value of the pixel feature differences in the third pixel feature difference value set.

[0109] In some embodiments of the present application, when calculating the design deviation factor of the tire to be designed based on all the sub-deviation factors, it includes:

[0110] Extracting the same sub-bias factor from all sub-bias factors and obtaining multiple sub-bias factor sequences;

[0111] The first sub-deviation factor number Q1 of the statistical sub-deviation factor sequence;

[0112] Extract a sub-deviation factor from each of all sub-deviation factor sequences, and calculate the first sub-deviation factor and value R1;

[0113] Obtain a preset sub-deviation factor, eliminate all sub-deviation factor sequences that are smaller than the preset sub-deviation factor, and count the number of second sub-deviation factors Q2 of the remaining sub-deviation factor sequences;

[0114] Extracting a sub-deviation factor from each of the remaining sub-deviation factor sequences, and calculating a second sub-deviation factor and a value R2;

[0115] The design deviation factor of the tire to be designed is calculated according to the first sub-deviation factor quantity Q1, the second sub-deviation factor quantity Q2, the first sub-deviation factor sum value R1 and the second sub-deviation factor sum value R2.

[0116] In this embodiment, if the sub-deviation factors are {2,2,4, 5,6,6,7,8,8}, then the same sub-deviation factors are {2,2}, {6,6}, {8,8}, the number of first sub-deviation factors Q1=3, the sum of the first sub-deviation factors R1=2+6+8, the preset sub-deviation factor is 5, the number of second sub-deviation factors Q2 is 2, and the sum of the second sub-deviation factors R2=6+8.

[0117] The beneficial effect of the above technical solution is that the present invention calculates the design deviation factor of the tire to be designed based on the first sub-deviation factor quantity Q1, the second sub-deviation factor quantity Q2, the first sub-deviation factor sum R1 and the second sub-deviation factor sum R2, which can lay the foundation for changing the tire appearance design.

[0118] In some embodiments of the present application, when calculating the design deviation factor of the tire to be designed according to the first sub-deviation factor quantity Q1, the second sub-deviation factor quantity Q2, the first sub-deviation factor sum value R1 and the second sub-deviation factor sum value R2, it includes:

[0119] The design deviation factor of the tire to be designed is calculated according to the following formula:

[0120]

[0121] Wherein, S is the design deviation factor of the tire to be designed, and t is the preset sub-deviation factor.

[0122] S140: judging whether the tire to be designed needs to be adjusted according to the design deviation factor, and if so, setting the head adjustment width based on the design deviation factor.

[0123] In some embodiments of the present application, when judging whether the tire to be designed needs to be adjusted according to the design deviation factor, it includes:

[0124] Obtaining a preset design deviation factor, and judging whether the tire to be designed needs to be adjusted according to the relationship between the design deviation factor and the preset design deviation factor;

[0125] When the design deviation factor is less than the preset design deviation factor, it is determined that there is no need to adjust the tire to be designed;

[0126] When the design deviation factor is greater than or equal to the preset design deviation factor, it is determined that the tire to be designed needs to be adjusted.

[0127] In some embodiments of the present application, when the head adjustment width is set based on the design deviation factor, it includes:

[0128] Presetting a plurality of design deviation factor intervals, wherein each design deviation factor interval includes a first preset design deviation factor and a second preset design deviation factor;

[0129] Presetting a plurality of preset adjustment widths, wherein each preset adjustment width corresponds to a design deviation factor interval one by one;

[0130] Traversing the design deviation factor in all deviation factor intervals, determining the design deviation factor interval corresponding to the design deviation factor, and determining the corresponding preset adjustment width;

[0131] The determined preset adjustment width is used as the head adjustment width.

[0132] The beneficial effect of the above technical solution is that the present invention changes the shape of the tire blank by adjusting the width of the machine head, and then avoids interference fit between the tire blank and the side plate during the mold closing process by changing the shape of the tire blank, thereby avoiding the generation of rubber edges and effectively improving the appearance quality of the tire.

[0133] In order to further explain the technical idea of ​​the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.

[0134] Correspondingly, such as Figure 2 As shown, the present application also provides a design system for improving the appearance quality of a tire, comprising:

[0135] A processing module, used for acquiring a real-time tire image of the tire to be designed, and performing image processing on the real-time tire image to determine a corresponding tire grayscale image;

[0136] A determination module, used for performing image edge detection on the tire grayscale image, and determining an image of a region to be detected on the tire grayscale image;

[0137] A calculation module, used for acquiring a preset detection area image, and calculating a design deviation factor of the tire to be designed according to a relationship between the image of the area to be detected and the image of the preset detection area;

[0138] The adjustment module is used to determine whether the tire to be designed needs to be adjusted according to the design deviation factor, and if so, set the head adjustment width based on the design deviation factor.

[0139] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0140] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources.

[0141] Those skilled in the art can understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A design method for improving the appearance quality of tires, It is characterized in that include: Acquire a real-time tire image of the tire to be designed, and perform image processing on the real-time tire image to determine a corresponding tire grayscale image; Performing image edge detection on the tire grayscale image, and determining an image of a region to be detected on the tire grayscale image; Acquire a preset detection area image, and calculate a design deviation factor of the tire to be designed according to a relationship between the image of the area to be detected and the image of the preset detection area; It is determined whether the tire to be designed needs to be adjusted according to the design deviation factor, and if so, the head adjustment width is set based on the design deviation factor.

2. The design method for improving the appearance quality of a tire according to claim 1, It is characterized in that When a real-time tire image of a tire to be designed is acquired and image processing is performed on the real-time tire image to determine a corresponding tire grayscale image, the method includes: Preprocessing the real-time tire image, wherein the preprocessing includes eliminating noise and outliers; Dividing the preprocessed real-time tire image into multiple sub-regions based on a non-overlapping window strategy; Enhance the contrast in the sub-region based on the local histogram equalization algorithm; According to a preset grayscale conversion function, the pixel value of each sub-region is mapped to a new grayscale level; Grayscale conversion is performed on each sub-region based on the new grayscale level, and the grayscale image of the tire is obtained by recombining the sub-regions.

3. The design method for improving the appearance quality of a tire according to claim 1, It is characterized in that When performing image edge detection on the tire grayscale image and determining an image of a region to be detected on the tire grayscale image, the method includes: Performing noise reduction processing on the tire grayscale image based on a Gaussian filter, wherein parameters of the Gaussian filter are dynamically adjusted according to features of the image; Calculating the gradient magnitude and direction of the tire grayscale image after noise reduction, and using at least two gradient operators of different scales to enhance the extraction of edge information; Refining the edge candidate points in the gradient magnitude image by a non-maximum suppression method to determine potential edge positions; Applying a dual threshold algorithm to screen the potential edge positions to generate a continuous edge profile, wherein the dual threshold algorithm includes a low threshold and a high threshold for distinguishing strong edges from weak edges; Using an edge tracking strategy to connect the strong edge with adjacent weak edges to form a complete edge structure; Output the final edge detection result, which is a binary image containing the identified edges or a grayscale image marked with edge intensity.

4. The design method for improving the appearance quality of a tire according to claim 1, It is characterized in that When calculating the design deviation factor of the tire to be designed according to the relationship between the image of the area to be detected and the image of the preset detection area, it includes: Determine a plurality of pixel points on the image of the area to be detected, and extract corresponding pixel feature values; Extracting preset pixel feature values ​​on the preset detection area based on pixel point correspondence; Calculate the pixel feature difference between each pixel feature value and the corresponding preset pixel feature value respectively; Obtaining a preset pixel feature difference value, and dividing all pixel feature difference values ​​less than the preset pixel feature difference value into a first pixel feature difference value set; Dividing all pixel feature difference values ​​equal to the preset pixel feature difference value into a second pixel feature difference value set; Dividing all pixel feature difference values ​​greater than the preset pixel feature difference value into a third pixel feature difference value set; Calculate a sub-deviation factor for each pixel point according to the first pixel feature difference set, the second pixel feature difference set, and the third pixel feature difference set; The design deviation factor of the tire to be designed is calculated based on all the sub-deviation factors.

5. The design method for improving the appearance quality of a tire according to claim 4, It is characterized in that When calculating the sub-deviation factor of each pixel point according to the first pixel feature difference set, the second pixel feature difference set, and the third pixel feature difference set, it includes: When calculating the sub-deviation factor of each pixel point according to the first pixel feature difference set, the second pixel feature difference set, and the third pixel feature difference set, it includes: P=h×ys×yt Among them, P is the sub-bias factor of the pixel point, h is the calculation coefficient of the sub-bias factor, ys is the pixel feature difference of the s-th pixel point, yt is the weight of the s-th pixel point, w1 is the calculation coefficient corresponding to the first pixel feature difference value set, n1 is the number of pixel feature differences in the first pixel feature difference value set, ai is the i-th pixel feature difference in the first pixel feature difference value set, b1 is the average value of the pixel feature differences in the first pixel feature difference value set, w2 is the calculation coefficient corresponding to the second pixel feature difference value set, n2 is the number of pixel feature differences in the second pixel feature difference value set, cj is the j-th pixel feature difference in the second pixel feature difference value set, b2 is the average value of the pixel feature differences in the second pixel feature difference value set, w3 is the calculation coefficient corresponding to the third pixel feature difference value set, n3 is the number of pixel feature differences in the third pixel feature difference value set, fe is the e-th pixel feature difference in the third pixel feature difference value set, and b3 is the average value of the pixel feature differences in the third pixel feature difference value set.

6. The design method for improving the appearance quality of a tire according to claim 5, It is characterized in that When calculating the design deviation factor of the tire to be designed based on all the sub-deviation factors, it includes: Extracting the same sub-bias factor from all sub-bias factors and obtaining multiple sub-bias factor sequences; The first sub-deviation factor number Q1 of the statistical sub-deviation factor sequence; Extract a sub-deviation factor from each of all sub-deviation factor sequences, and calculate the first sub-deviation factor and value R1; Obtain a preset sub-deviation factor, eliminate all sub-deviation factor sequences that are smaller than the preset sub-deviation factor, and count the number of second sub-deviation factors Q2 of the remaining sub-deviation factor sequences; Extracting a sub-deviation factor from each of the remaining sub-deviation factor sequences, and calculating a second sub-deviation factor and a value R2; The design deviation factor of the tire to be designed is calculated according to the first sub-deviation factor quantity Q1, the second sub-deviation factor quantity Q2, the first sub-deviation factor sum value R1 and the second sub-deviation factor sum value R2.

7. The design method for improving the appearance quality of a tire according to claim 6, It is characterized in that When calculating the design deviation factor of the tire to be designed according to the first sub-deviation factor quantity Q1, the second sub-deviation factor quantity Q2, the first sub-deviation factor sum value R1 and the second sub-deviation factor sum value R2, it includes: The design deviation factor of the tire to be designed is calculated according to the following formula: Wherein, S is the design deviation factor of the tire to be designed, and t is the preset sub-deviation factor.

8. The design method for improving the appearance quality of a tire according to claim 1, It is characterized in that When judging whether the tire to be designed needs to be adjusted according to the design deviation factor, the method includes: Obtaining a preset design deviation factor, and judging whether the tire to be designed needs to be adjusted according to the relationship between the design deviation factor and the preset design deviation factor; When the design deviation factor is less than the preset design deviation factor, it is determined that there is no need to adjust the tire to be designed; When the design deviation factor is greater than or equal to the preset design deviation factor, it is determined that the tire to be designed needs to be adjusted.

9. The design method for improving the appearance quality of a tire according to claim 1, It is characterized in that When the head adjustment width is set based on the design deviation factor, it includes: Presetting a plurality of design deviation factor intervals, wherein each design deviation factor interval includes a first preset design deviation factor and a second preset design deviation factor; Presetting a plurality of preset adjustment widths, wherein each preset adjustment width corresponds to a design deviation factor interval one by one; Traversing the design deviation factor in all deviation factor intervals, determining the design deviation factor interval corresponding to the design deviation factor, and determining the corresponding preset adjustment width; The determined preset adjustment width is used as the head adjustment width.

10. A design system to improve the appearance quality of tires, It is characterized in that include: A processing module, used for acquiring a real-time tire image of the tire to be designed, and performing image processing on the real-time tire image to determine a corresponding tire grayscale image; A determination module, used for performing image edge detection on the tire grayscale image, and determining an image of a region to be detected on the tire grayscale image; A calculation module, used for acquiring a preset detection area image, and calculating a design deviation factor of the tire to be designed according to a relationship between the image of the area to be detected and the image of the preset detection area; The adjustment module is used to determine whether the tire to be designed needs to be adjusted according to the design deviation factor, and if so, set the head adjustment width based on the design deviation factor.

Images