Method and apparatus for displaying thermal imaging image

Abstract

Provided in the present embodiment are a method and apparatus for displaying a thermal imaging image. In the present embodiment, a pseudo-color parameter configured for a first thermal imaging image is identified; then, for a selected image area in the first thermal imaging image, a target color for marking the image area is determined on the basis of the identified pseudo-color parameter; and the image area is framed by means of the target color, so as to mark the image area, and / or characters, the color of which is the target color, are superimposed on the image area for display, so as to represent, by means of the characters, thermal imaging information corresponding to the image area. Therefore, superimposing characters on a thermal imaging image to display corresponding thermal imaging information is realized.

Description

Thermal imaging image display method and device Technical Field

[0001] The present application relates to the field of image processing, and in particular to a method and device for displaying thermal imaging images. Background Art

[0002] Thermal imaging images based on infrared technology cannot directly reflect the corresponding thermal imaging information (also known as target information, such as temperature, energy value, etc.), cannot meet the needs of paying attention to thermal imaging information at any time, and lack the flexibility of image display expansion. Summary of the Invention

[0003] The embodiments of the present application provide a method and apparatus for displaying thermal imaging images, so as to realize superimposing characters on the thermal imaging images to display corresponding thermal imaging information.

[0004] An embodiment of the present application provides a method for displaying a thermal imaging image, the method comprising:

[0005] Identifying pseudo-color parameters configured for the first thermal imaging image; the pseudo-color parameters are used to perform pseudo-color processing on the entire thermal imaging image data to convert it into the first thermal imaging image;

[0006] For the selected image area in the first thermal imaging image, determining a target color for identifying the image area based on the identified pseudo-color parameter;

[0007] The image area is framed by the target color to identify the image area, and / or characters having the target color are superimposed on the image area for display, wherein the characters are used to represent the thermal imaging information corresponding to the image area.

[0008] An embodiment of the present application provides a thermal imaging image display device, the device comprising at least:

[0009] a determination unit configured to identify pseudo-color parameters configured for a first thermal imaging image; the pseudo-color parameters being used to perform pseudo-color processing on the entire thermal imaging image data to convert the thermal imaging image into the first thermal imaging image; and, for a selected image region in the first thermal imaging image, determining a target color for identifying the image region based on the identified pseudo-color parameters;

[0010] A display control unit is used to frame the image area with the target color to identify the image area, and / or superimpose characters with the target color on the image area for display, wherein the characters are used to represent the thermal imaging information corresponding to the image area.

[0011] An embodiment of the present application provides an electronic device, which includes: a processor and a memory; wherein the memory is used to store machine-executable instructions; and the processor is used to read and execute the machine-executable instructions stored in the memory to implement the method described above.

[0012] In summary, it can be seen that the embodiment of the present application identifies the pseudo color parameters configured for the first thermal imaging image, and then, for the selected image area in the first thermal imaging image, according to the identified pseudo color parameters,

[0013] Determine a target color for identifying the image area, frame the image area with the target color to identify the image area, and / or superimpose characters of the target color on the image area for display so as to represent the thermal imaging information corresponding to the image area through the characters, thereby realizing superimposing characters on the thermal imaging image to display the corresponding thermal imaging information. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] FIG1 is a flow chart of a method shown in an embodiment of the present application;

[0015] FIG2 is a flow chart of a target color determination strategy according to an embodiment of the present application;

[0016] FIG3 is a flow chart of another method shown in an embodiment of the present application;

[0017] FIG4 is a structural diagram of a device according to an embodiment of the present application;

[0018] FIG5 is a structural diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0019] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0020] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. As used in this application and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0021] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0022] The following describes the method provided in the embodiment of the present application:

[0023] See Figure 1, which is a flow chart of a method provided in an embodiment of the present application. Optionally, the process can be applied to electronic devices, where the electronic devices can be, for example, clients, thermal imaging acquisition devices, etc., which are not specifically limited in this embodiment.

[0024] As shown in Figure 1, the process may include the following steps:

[0025] Step 101: Identify pseudo-color parameters configured for a first thermal imaging image; the pseudo-color parameters are used to pseudo-color the entire thermal imaging image data to convert it into a first thermal imaging image. In some examples, the pseudo-color parameters can be obtained through software built into a thermal imaging image display device. In other examples, the pseudo-color parameters can be obtained by obtaining a grayscale corresponding to a user-defined pseudo-color from a detector.

[0026] As an example, before generating a thermal image, pseudo-color parameters can be pre-configured based on actual needs to ensure that a corresponding thermal image (referred to as a first thermal image) is subsequently generated according to the color values ​​of the pseudo-color parameters. In other words, the pseudo-color parameters are used to pseudo-color the entire thermal image data, such as a grayscale image, to convert it into the first thermal image.

[0027] Step 102, for the selected image area in the first thermal imaging image, determine the target color used to identify the image area based on the identified pseudo-color parameters. In some examples, the selected image area can be an image area where a user-defined temperature measurement target is located.

[0028] In this embodiment, determining the target color for identifying the image area based on the identified pseudo-color parameters in step 102 may include: identifying whether the pseudo-color parameters indicate a preset first specific color; selecting a corresponding target color determination strategy based on the identification result; and using the target color determination strategy to determine the target color. Different target color determination strategies correspond to different computational loads.

[0029] As an embodiment, the strategy for determining the corresponding target color according to the recognition result can be referred to the process shown in FIG2 , which will not be described in detail here. However, in any case, the contrast between the target color finally determined and the color of the selected image area satisfies the set contrast condition, so that the selected image area can be intuitively distinguished from the first thermal imaging image when the first thermal imaging image is subsequently displayed. As an embodiment, the above-mentioned satisfaction of the set contrast condition may be, for example, that the difference between the contrast of the target color and the contrast of the color of the selected image area of ​​the thermal imaging image is outside the set contrast range. The contrast difference within the set contrast range can indicate color approximation. Here, the contrast of the target color can depend on the color value (RGB) of the target color and be calculated according to the set contrast formula. The principle of calculating the contrast of colors in thermal imaging images is similar.

[0030] Step 103 : framing the image area with a target color to identify the image area, and / or superimposing characters of the target color on the image area for display, wherein the characters are used to represent the thermal imaging information corresponding to the image area.

[0031] In this embodiment, framing the image area with the target color can be accomplished by framing the image area with a regular frame that is the target color. For example, if the target color is orange, the image area is framed with an orange regular frame; for another example, if the target color is green, the image area is framed with a green regular frame. It should be noted that in this embodiment, the regular frame that is the target color does not cover the image area; its fill is "none," meaning that the regular frame that is the target color has no fill.

[0032] In addition, in this embodiment, the above characters are used to represent at least one of the thermal imaging information corresponding to the above image area, such as time, temperature, energy value, etc., which is not specifically limited in this embodiment.

[0033] At this point, the process shown in Figure 1 is completed.

[0034] As can be seen from the process shown in Figure 1, in this embodiment, by identifying the pseudo-color parameters configured for the first thermal imaging image, and then for the image area selected in the first thermal imaging image, based on the identified pseudo-color parameters, the target color for identifying the image area is determined, the image area is framed by the target color to identify the image area, and / or characters with the target color are superimposed on the image area for display to represent the thermal imaging information corresponding to the image area through the characters, thereby realizing the superimposition of characters on the thermal imaging image to display the corresponding thermal imaging information.

[0035] Furthermore, in this embodiment, the target color for identifying the image area is determined based on the pseudo-color parameters. This method is simple and saves resources.

[0036] The following describes how to select the corresponding target color determination strategy based on the recognition results described above:

[0037] See Figure 2, which is a flow chart of a target color determination strategy provided by an embodiment of the present application. As shown in Figure 2, the process may include the following steps:

[0038] Step 201: If the recognition result is that the pseudo-color parameter does not indicate the preset first specific color, execute step 202; if the recognition result is that the pseudo-color parameter only indicates the preset first specific color, execute step 203; if the recognition result is that the pseudo-color parameter indicates the preset first specific color and other colors except the first specific color, execute step 204.

[0039] Step 202 : Select a first target color determination strategy; the first target color determination strategy indicates that the preset first specific color is used as the target color.

[0040] It can be seen that in this embodiment, when the recognition result is that the pseudo-color parameter does not indicate the pre-set first specific color, such as green, the first target color determination strategy indicates that the pre-set first specific color is directly used as the target color. At this time, there is no need to specifically perform any inversion calculation, there is no inversion calculation workload, and the implementation is relatively simple.

[0041] Step 203 : Selecting a second target color determination strategy, wherein the second target color determination strategy indicates using a preset second specific color as the target color; and the degree of distinction between the second specific color and the first specific color satisfies a set condition.

[0042] As can be seen, in this embodiment, when the recognition result indicates that the pseudo-color parameter indicates a pre-set first specific color, such as green, then the second target color determination strategy is selected; the second target color determination strategy indicates that the pre-set second specific color is directly used as the target color; and the degree of distinction between the second specific color and the first specific color satisfies the set conditions. In other words, in this embodiment, it is sufficient to select a second specific color from the pre-set specific colors that satisfies the set conditions for distinction from the first specific color. For example, it is only necessary to simply calculate the contrast of the first specific color and the contrast of other specific colors to find other specific colors with a relatively large contrast difference from the first specific color. There is no need to perform inverse color calculation (such as replacing the first specific color with the opposite color, etc.), and there is no inverse color calculation workload, making implementation relatively simple.

[0043] As an example, if the first specific color is green, orange, which is more clearly distinguishable from green, may be selected as the target color.

[0044] Step 204 : Select a third target color determination strategy; the third target color determination strategy is used to indicate a target color to be determined based on the image area and to be distinguished from the color of the image area.

[0045] As an example, the third target color determination strategy may be to select a color from a preset set of specific colors that is distinct from the color of the image area as the target color. For example, similar to step 203, a simple calculation of the contrast ratio of the color of the image area and the contrast ratio of other specific colors is required to find another specific color with a significant contrast difference from the color of the image area. No inversion calculation is required (e.g., replacing the first specific color with its opposite color). This eliminates the need for inversion calculation and simplifies implementation.

[0046] As an example, the third target color determination strategy is to determine the target color based on the grayscale values ​​of each pixel in a target area; the target area is the selected image area, or a portion of the selected image area. When determining the target color based on the grayscale values ​​of each pixel in the target area, the target color can be ultimately fixed to either black or white to reduce computational overhead. Figure 3 illustrates the corresponding process.

[0047] At this point, the process shown in Figure 2 is completed.

[0048] Through the process shown in Figure 2, we finally realized how to select the corresponding target color determination strategy based on the recognition results.

[0049] The following describes the process shown in Figure 3:

[0050] Refer to Figure 3, which is a flow chart of another method provided in an embodiment of the present application. As shown in Figure 3, the process may include the following steps:

[0051] Step 301: Obtain the grayscale value of each pixel in the target area.

[0052] In this embodiment, the color of each pixel in the target area may be converted into a YUV format to obtain a grayscale value of each pixel.

[0053] Step 302, determining the target color based on a first number of pixels belonging to the first category and a second number of pixels belonging to the second category; wherein, when the grayscale value of a pixel in the target area is less than or equal to a set threshold, it is determined that the pixel belongs to the first category; when the grayscale value of a pixel in the target area is greater than the set threshold, it is determined that the pixel belongs to the second category.

[0054] Based on the above definition that the target color is ultimately fixed to one of black and white, in this embodiment, when the grayscale value of a pixel in the target area is less than or equal to a set threshold, the pixel is determined to belong to the first category, which indicates the color is black. When the grayscale value of a pixel in the target area is greater than the set threshold, the pixel is determined to belong to the second category, which indicates the color is white. The set threshold can be set according to actual needs and is not specifically limited in this embodiment.

[0055] Optionally, determining the target color based on a first number of pixels belonging to the first category and a second number of pixels belonging to the second category includes: if the first number is greater than the second number, determining the target color to be black; and if the first number is less than or equal to the second number, determining the target color to be white. Ultimately, the target color is fixed to one of black and white.

[0056] At this point, the process shown in Figure 3 is completed.

[0057] The process shown in FIG3 finally realizes that even if the pseudo color parameter indicates the preset first specific color and other colors except the first specific color, by limiting the selection of one of the two colors of black and white as the target color, a large amount of inversion calculation workload is not required.

[0058] Optionally, in this embodiment, the pseudo color parameter may include X color values, where X is greater than or equal to 1, and any color value is represented by a corresponding red, green, and blue (RGB) value.

[0059] Based on this, in this embodiment, identifying whether the pseudo-color parameter indicates a pre-set first specific color may include: if the RGB values ​​corresponding to each color value in the pseudo-color parameter all meet the first specific color discrimination condition, then determining that the pseudo-color parameter indicates the pre-set first specific color; if the RGB value corresponding to at least one color value in the pseudo-color parameter meets the first specific color discrimination condition, and the RGB value corresponding to at least one color value does not meet the first specific color discrimination condition, then determining that the pseudo-color parameter indicates the pre-set first specific color and other colors other than the first specific color; if the RGB values ​​corresponding to each color value in the pseudo-color parameter do not meet the first specific color discrimination condition, then determining that the pseudo-color parameter does not indicate the pre-set first specific color.

[0060] For example, the first specific color is green; the first specific color discrimination condition here means that the R value of the color value is less than or equal to the set R value threshold, and the B value is less than the set B value threshold.

[0061] The above describes the method provided in the embodiment of the present application. The following describes the device provided in the embodiment of the present application:

[0062] See Figure 4, which is a structural diagram of a device provided in an embodiment of the present application. As shown in Figure 4, the device at least includes:

[0063] A determination unit 41 is configured to identify pseudo-color parameters configured for a first thermal imaging image; the pseudo-color parameters are used to perform pseudo-color processing on the thermal imaging image data as a whole to convert it into a first thermal imaging image; and, for a selected image area in the first thermal imaging image, determine a target color for identifying the image area based on the identified pseudo-color parameters.

[0064] The display control unit 42 is used to frame the image area with the target color to identify the image area, and / or superimpose characters with the target color on the image area for display, wherein the characters are used to represent the thermal imaging information corresponding to the image area.

[0065] Optionally, determining a target color for identifying the image area based on the identified pseudo-color parameter includes:

[0066] identifying whether the pseudo-color parameter indicates a preset first specific color;

[0067] A corresponding target color determination strategy is selected according to the recognition result; the target color determination strategy is used to determine the target color; wherein different target color determination strategies correspond to different computational loads.

[0068] Optionally, selecting a corresponding target color determination strategy according to the recognition result includes:

[0069] If the recognition result is that the pseudo color parameter does not indicate the preset first specific color, selecting a first target color determination strategy; the first target color determination strategy indicates that the preset first specific color is used as the target color;

[0070] If the recognition result shows that the pseudo-color parameter only indicates a preset first specific color, a second target color determination strategy is selected; the second target color determination strategy indicates that a preset second specific color is used as the target color; and the degree of distinction between the second specific color and the first specific color satisfies a set condition;

[0071] If the recognition result is that the pseudo-color parameter indicates a pre-set first specific color and other colors except the first specific color, the third target color determination strategy is selected; the third target color determination strategy is used to indicate a target color determined based on the image area to be distinguished from the color of the image area.

[0072] Optionally, the third target color determination strategy is:

[0073] A color that is distinguishable from the color of the image area is selected as a target color from preset specific colors.

[0074] Optionally, the third target color determination strategy is: determining the target color according to the grayscale value of each pixel in a target area; the target area is the image area, or a partial area of ​​the image area.

[0075] Optionally, determining the target color according to the grayscale value of each pixel in the target area includes:

[0076] Obtaining the grayscale value of each pixel in the target area;

[0077] The target color is determined based on a first number of pixels belonging to the first category and a second number of pixels belonging to the second category; wherein, when the grayscale value of a pixel in the target area is less than or equal to a set threshold, the pixel is determined to belong to the first category, and when the grayscale value of a pixel in the target area is greater than the set threshold, the pixel is determined to belong to the second category.

[0078] Optionally, determining the target color according to a first number of pixels belonging to the first category and a second number of pixels belonging to the second category includes:

[0079] If the first number is greater than the second number, the target color is determined to be black; when the first number is less than or equal to the second number, the target color is determined to be white.

[0080] Optionally, the pseudo-color parameter includes X color values, X is greater than or equal to 1, and any color value is represented by a corresponding red, green, and blue (RGB) value;

[0081] The identifying whether the pseudo color parameter indicates a preset first specific color includes:

[0082] If the RGB values ​​corresponding to the color values ​​in the pseudo-color parameter all meet the first specific color discrimination condition, determining that the pseudo-color parameter indicates a preset first specific color;

[0083] If the RGB value corresponding to at least one color value in the pseudo-color parameter satisfies the first specific color discrimination condition, and the RGB value corresponding to at least one color value does not satisfy the first specific color discrimination condition, then determining that the pseudo-color parameter indicates a preset first specific color and other colors except the first specific color;

[0084] If the RGB values ​​corresponding to the color values ​​in the pseudo color parameter do not satisfy the first specific color discrimination condition, it is determined that the pseudo color parameter does not indicate the preset first specific color.

[0085] At this point, the structural description of the device shown in FIG4 is completed.

[0086] Correspondingly, the embodiment of the present application further provides a hardware structure diagram of the device shown in Figure 4, specifically as shown in Figure 5, the electronic device can be a device for implementing the above method. As shown in Figure 5, the hardware structure, that is, the electronic device includes: a processor 51 and a memory 52.

[0087] Wherein, the memory is used to store machine-executable instructions;

[0088] The processor is configured to read and execute the machine executable instructions stored in the memory to implement the method embodiment shown above.

[0089] As an embodiment, the memory can be any electronic, magnetic, optical, or other physical storage device that can contain or store information, such as executable instructions, data, etc. For example, the memory can be a volatile memory, a non-volatile memory, or a similar storage medium. Specifically, the memory can be RAM (Random Access Memory), flash memory, a storage drive (such as a hard disk drive), a solid-state drive, any type of storage disk (such as a CD, DVD, etc.), or a similar storage medium, or a combination thereof.

[0090] Based on the same inventive concept, this embodiment further provides a computer-readable storage medium for storing a computer program that, when executed by a processor, implements the method embodiment described above.

[0091] The foregoing description describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0092] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the inventions claimed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art not claimed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0093] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

[0094] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for displaying a thermal imaging image, characterized in that The method includes: Identifying pseudo-color parameters configured for a first thermal imaging image; the pseudo-color parameters are used to perform pseudo-color processing on the overall thermal imaging image data to convert it into the first thermal imaging image; For a selected image area in the first thermal imaging image, determining a target color for identifying the image area according to the identified pseudo-color parameters; Framing the image area with the target color to identify the image area, and / or displaying characters with the target color superimposed on the image area, where the characters are used to characterize the thermal imaging information corresponding to the image area.

2. The method according to claim 1, wherein The determining the target color for identifying the image area according to the identified pseudo-color parameters includes: Identifying whether the pseudo-color parameters indicate a preset first specific color; Selecting a corresponding target color determination strategy according to the identification result; the target color determination strategy is used to determine the target color; among them, different target color determination strategies correspond to different amounts of calculation.

3. The method according to claim 2, wherein The selecting a corresponding target color determination strategy according to the identification result includes: If the identification result is that the pseudo-color parameters do not indicate the preset first specific color, then select a first target color determination strategy; the first target color determination strategy indicates using the preset first specific color as the target color; If the identification result is that the pseudo-color parameters only indicate the preset first specific color, then select a second target color determination strategy; the second target color determination strategy indicates using a preset second specific color as the target color; the distinguishability between the second specific color and the first specific color meets the set conditions; If the identification result is that the pseudo-color parameters indicate the preset first specific color and other colors except the first specific color, then select a third target color determination strategy; the third target color determination strategy is used to indicate determining a target color based on the image area for distinguishing from the color of the image area.

4. The method according to claim 3, characterized in that, The third target color determination strategy is: Selecting a color that is distinguishable from the color of the image area from the preset specific colors as the target color.

5. The method according to claim 3, characterized in that, The third target color determination strategy is: determining the target color according to the gray values of each pixel point in the target area; the target area is the image area or a partial area in the image area.

6. The method according to claim 5, characterized in that, The determining the target color according to the gray values of each pixel point in the target area includes: Obtaining the gray values of each pixel point in the target area; Determining the target color according to the first quantity of pixel points belonging to the first category and the second quantity of pixel points belonging to the second category; where when the gray value of a pixel point in the target area is less than or equal to the set threshold, it is determined that the pixel point belongs to the first category, and when the gray value of a pixel point in the target area is greater than the set threshold, it is determined that the pixel point belongs to the second category.

7. The method according to claim 6, wherein The determining the target color according to the first quantity of pixel points belonging to the first category and the second quantity of pixel points belonging to the second category includes: If the first quantity is greater than the second quantity, determine that the target color is black; when the first quantity is less than or equal to the second quantity, determine that the target color is white.

8. The method according to any one of claims 2 to 7, characterized in that, The pseudo-color parameter includes X color values, where X is greater than or equal to 1, and any color value is represented by corresponding red, green, and blue (RGB) values; Identifying whether the pseudo-color parameter indicates the preset first specific color includes: If the RGB values corresponding to each color value in the pseudo-color parameter all meet the first specific color discrimination condition, determine that the pseudo-color parameter indicates the preset first specific color; If at least one of the RGB values corresponding to the color values in the pseudo-color parameter meets the first specific color discrimination condition and at least one of the RGB values corresponding to the color values does not meet the first specific color discrimination condition, determine that the pseudo-color parameter indicates the preset first specific color and other colors other than the first specific color; If the RGB values corresponding to each color value in the pseudo-color parameter do not all meet the first specific color discrimination condition, determine that the pseudo-color parameter does not indicate the preset first specific color.

9. A display device for thermal imaging images, characterized in that, The device at least includes: A determination unit configured to identify a pseudo-color parameter configured for a first thermal imaging image; the pseudo-color parameter is used to perform pseudo-color processing on the entire thermal imaging image data to convert it into the first thermal imaging image; and, for a selected image area in the first thermal imaging image, determine a target color for identifying the image area according to the identified pseudo-color parameter; A display control unit configured to frame the image area with the target color to identify the image area, and / or display characters with the target color superimposed on the image area, where the characters are used to represent the thermal imaging information corresponding to the image area.

10. An electronic device, characterized in that, An electronic device includes: a processor and a memory; Wherein, the memory is configured to store machine-executable instructions; The processor is configured to read and execute the machine-executable instructions stored in the memory to implement the method according to any one of claims 1 to 8.

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