Tire pattern analysis method and system based on image analysis

Abstract

The invention discloses a tread pattern analysis method and system based on image analysis, and relates to the technical field of tread pattern detection. Comprising the steps that a multi-light-source module is set, a tread pattern feedback image of a target tire under the multi-light-source module is obtained, a feedback image set is obtained, the multi-light-source module comprises white light, ultraviolet light and infrared light, and the feedback image set comprises a white light feedback image, an ultraviolet light feedback image and an infrared light feedback image; performing first image preprocessing based on the white light feedback image, the ultraviolet light feedback image and the infrared light feedback image; the multi-light-source module is arranged, the multi-light-source module is a multi-light-source camera shooting combination module and comprises white light, ultraviolet light and infrared light, the multi-light-source irradiation effect is achieved, and tread pattern detection data of a to-be-detected tire is obtained through feedback results of multiple light sources. And the obtained to-be-detected tire is subjected to multi-range contrast image recognition analysis, so that the tread pattern analysis effect is more comprehensive.

Description

Technical Field

[0001] The present invention relates to the technical field of tire pattern analysis, and in particular to a tire pattern analysis method and system based on image analysis. Background Art

[0002] The tire tread pattern is the pattern design of the part of the tire that contacts the road surface. Its main functions include drainage, anti-skid, enhanced grip and noise reduction. Different types of patterns are suitable for different road conditions. The production process of tire tread patterns mainly includes several steps: design, mold manufacturing and rubber molding. When tread patterns appear on the tire tread, it may affect the performance and safety of the tire, resulting in a decrease in grip, which may cause slipping or loss of control, and affect drainage and grip, posing a safety hazard. If these tread patterns appear, the tire should be checked and replaced in time to ensure driving safety. Therefore, it is very important to detect the tread pattern of the tire.

[0003] The automobile tire tread pattern detection system and method, with patent publication number CN115908304A, obtains the 3D point cloud data of the tire tread pattern in the area to be detected through an acquisition device. The upper computer receives and processes the 3D point cloud data of the tire tread pattern and determines whether the tire tread pattern exists. In this way, the type and number of automobile tire tread patterns can be efficiently detected, and the tread pattern shape of the tread pattern can be accurately segmented at a low cost.

[0004] The above and similar technical solutions are used to detect the tread pattern of the tire. When a single light source or a single angle is used for detection, the tire tread is curved and different tread pattern shapes will cause different grooves to appear on the tread. The curved objects and grooves will cause local overexposure or shadows in the image due to light reflection at different angles, covering up tiny tread patterns or local tread patterns, and making it difficult to detect tread patterns such as fine cracks, pollutants and abnormal wear in the tire surface pattern. In addition, the presentation effect of the tread pattern will be different when the tire is in different motion states. However, when a motion effect is applied to the tire, dynamic blur is easily generated, causing the camera to capture a blurred image, thereby affecting the detection effect of the tread pattern. Summary of the Invention

[0005] The purpose of the present invention is to provide a tire pattern analysis method and system based on image analysis to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: a tire tread pattern analysis method based on image analysis, comprising: setting a multi-light source module, obtaining a tread pattern feedback image of a target tire under the multi-light source module, and obtaining a feedback image set, wherein the multi-light source module includes white light, ultraviolet light, and infrared light, and the feedback image set includes a white light feedback image, an ultraviolet light feedback image, and an infrared light feedback image;

[0007] performing a first image preprocessing on the white light feedback image, the ultraviolet light feedback image, and the infrared light feedback image to obtain a first processed image set;

[0008] Based on the multi-light source module, the light source detection initial value and the light source detection limit value are set, the light source detection range is obtained based on the light source detection initial value and the light source detection limit value, and the light source detection range is split to obtain a split range set;

[0009] Adjusting the multiple light source modules based on the split range set to obtain a white light adjustment range, an ultraviolet light adjustment range, and an infrared light adjustment range, respectively, changing the light source intensity of the multiple light source modules, and obtaining feedback image sets after the light source intensity change to update image data, respectively, to obtain a white light feedback image set, an ultraviolet light feedback image set, and an infrared light feedback image set;

[0010] performing a second image preprocessing on the white light feedback image set, the ultraviolet light feedback image set, and the infrared light feedback image set to obtain an updated feedback image set;

[0011] A judgment threshold is set, and the judgment threshold is used to represent the recognition result range and recognition result comparison of the tire pattern. The first processed image set and the updated feedback image set are classified and judged based on the judgment threshold, and the classification feedback data of the first processed image set and the updated feedback image set are obtained, thereby obtaining the actual judgment result of the tread pattern feedback image of the target tire under the multi-light source module.

[0012] Furthermore, the method for obtaining the first processed image set includes:

[0013] Setting a reflectivity calibration component, obtaining light source brightness data of a white light feedback image, an ultraviolet light feedback image, and an infrared light feedback image, respectively, obtaining a white light brightness item, an ultraviolet light brightness item, and an infrared light brightness item, and obtaining a brightness information set;

[0014] Obtaining a brightness mean based on the brightness information set, and adjusting the image brightness of the white light feedback image, the ultraviolet light feedback image, and the infrared light feedback image based on the brightness mean to obtain a first processed image set;

[0015] Furthermore, the method for obtaining the light source detection range includes:

[0016] Based on the white light module, a first intensity range is set, the first intensity range is an illumination intensity range, a detection standard illumination is obtained, and a first intensity item is obtained. The detection standard illumination is an effective image acquisition range of scratches when the white light module illuminates the tire to be inspected;

[0017] Based on the ultraviolet light module, second intensity information is set, the second intensity information is band data information, and a second intensity item is obtained. The second intensity item is the best presentation of the stain image of the tire to be inspected under the irradiation of the ultraviolet light module with a fixed band;

[0018] Based on the infrared light module, a third intensity range is set, the third intensity range is an irradiance intensity range, and a third intensity item is obtained, the third intensity item is a heat difference when the infrared light module irradiates the tire to be inspected;

[0019] The first intensity item, the second intensity item, and the third intensity item are combined to obtain a light source detection range.

[0020] Furthermore, the method for obtaining the split range set includes:

[0021] Set a split item, the split item is an equal-division item, obtain the intensity difference between the starting intensity and the ending intensity of the first intensity item and the third intensity item, and obtain the first difference item and the third difference item;

[0022] Obtaining a first adjustment item and a third adjustment item based on combination results of the split item with the first difference item and the third difference item respectively;

[0023] A first combination set and a second combination set are obtained based on the combination of the first adjustment item and the third adjustment item with the starting point intensities of the first intensity item and the third intensity item respectively;

[0024] The first combination set, the second intensity item and the third combination set are combined to obtain a split range set.

[0025] Furthermore, the method for acquiring the white light feedback image set, the ultraviolet light feedback image set, and the infrared light feedback image set includes:

[0026] adjusting the white light value in the multi-light source module based on the white light adjustment range, obtaining tread pattern feedback images under different white light values, and obtaining a white light feedback image set;

[0027] Adjusting the ultraviolet light value in the multi-light source module based on the ultraviolet light adjustment range, respectively obtaining tread pattern feedback images under different ultraviolet light values, and obtaining an ultraviolet light feedback image set;

[0028] The infrared light value in the multi-light source module is adjusted based on the infrared light adjustment range, and tread pattern feedback images under different infrared light values ​​are respectively obtained to obtain an infrared light feedback image set.

[0029] Furthermore, the method for setting the determination threshold includes:

[0030] Acquire tread depth information of the tire to be inspected, obtain a target depth item, set a first benchmark value, and obtain a first warning value based on a combination of the first benchmark value and the target depth item;

[0031] Obtaining outer surface information of the tire to be inspected, obtaining a target area item, setting a second reference value, and obtaining a second warning value based on a combination of the second reference value and the target area item;

[0032] The temperature difference limit value is set to obtain the third warning value, and the first warning value, the second warning value and the third warning value are combined to obtain the judgment threshold.

[0033] Furthermore, a tire tread analysis system based on image analysis uses the above-mentioned tire tread analysis method based on image analysis, including:

[0034] Acquisition module: Sets a multi-light source module to acquire a tread pattern feedback image of the target tire under the multi-light source module to obtain a feedback image set. The multi-light source module includes white light, ultraviolet light, and infrared light. The feedback image set includes a white light feedback image, an ultraviolet light feedback image, and an infrared light feedback image.

[0035] Processing module: performing first image preprocessing based on the white light feedback image, the ultraviolet light feedback image, and the infrared light feedback image to obtain a first processed image set;

[0036] Splitting module: Based on the multi-light source module, the light source detection initial value and the light source detection limit value are set, the light source detection range is obtained based on the light source detection initial value and the light source detection limit value, the light source detection range is split to obtain a split range set, the multi-light source module is adjusted based on the split range set to obtain a white light adjustment range, an ultraviolet light adjustment range, and an infrared light adjustment range, the light source intensity of the multi-light source module is changed respectively, and the feedback image set after the light source intensity change is obtained to update the image data, and obtain a white light feedback image set, an ultraviolet light feedback image set, and an infrared light feedback image set;

[0037] Comparison module: Set a judgment threshold, which is used to indicate the range of tire pattern recognition results and the comparison of recognition results. Based on the judgment threshold, classify and judge the first processed image set and the updated feedback image set, obtain the classified feedback data of the first processed image set and the updated feedback image set, and then obtain the actual judgment result of the tread pattern feedback image of the target tire under the multi-light source module.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] This image analysis-based tire pattern analysis method and system achieves a multi-light source illumination effect by setting a multi-light source module, wherein the multi-light source module is a multi-light source camera combination module, including white light, ultraviolet light, and infrared light. The tread pattern detection data of the tire to be tested is obtained through the feedback results of the multi-light source, and the obtained tire to be tested is subjected to multi-range comparative image recognition analysis, making the tread pattern analysis effect more comprehensive.

[0040] At the same time, when the tire to be tested is fixed, by driving the multi-light source module to rotate around the tire to be tested, the tread pattern of the tire to be tested can be detected from multiple angles based on multiple light sources, further improving the accuracy of tread pattern analysis.

[0041] Moreover, by driving the tire to be tested to rotate, the tire to be tested is in motion, and the tread pattern of the tire to be tested in motion can be detected at this time, thereby realizing multi-mode detection of the tire to be tested. The multi-light source module that rotates simultaneously with the first module minimizes the dynamic module generated by the rotation of the tire to be tested, thereby improving the accuracy of tread pattern analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the overall process of the present invention;

[0043] Figure 2 This is a schematic diagram of the composition of the multi-light source module of the present invention;

[0044] Figure 3 This is a schematic diagram of the process of splitting a range set according to the present invention;

[0045] Figure 4 This is a schematic diagram of the transverse telescopic module of the present invention;

[0046] Figure 5 Schematic diagram of the distance between the lighting module and the tire C of the present invention;

[0047] Figure 6 It is a schematic diagram of the combination of the reflective feedback image, the ultraviolet light feedback image, and the infrared light feedback image of the present invention. DETAILED DESCRIPTION

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0049] Accurate tread pattern detection can not only ensure the safety performance of tires, but also extend the service life of tires, thereby reducing resource consumption and environmental pollution. However, due to the complexity of the tire tread itself, as well as the influence of lighting and motion during the detection process, the detection method of a single light source or a single angle has significant limitations in tire tread pattern detection. The tire tread is not a flat surface, but a curved surface with a certain curvature. This curved surface characteristic, coupled with the diversity of tread pattern shapes, leads to various grooves on the tread. When light hits these curved surfaces and grooves, complex reflection phenomena will occur. Light reflection at different angles may cause local areas of the image to appear. Overexposure means that the brightness is too high and details are lost; while other areas may be shadowed, resulting in low brightness, which also covers up details. This uneven lighting phenomenon greatly interferes with the recognition of tiny tread patterns. Tread patterns such as fine cracks in the tread pattern, attached pollutants and irregular wear are often covered up due to the influence of light and are difficult to detect. In addition, the presentation of the tread pattern will also change under different motion states of the tire. For example, tiny cracks that are difficult to observe under static conditions may open due to force when the tire is rolling, making them more obvious. Therefore, in order to more comprehensively detect the tire tread, It is necessary to detect the tread pattern when the tire is in motion. However, when applying a motion effect to the tire, the camera is prone to motion blur when capturing images due to the high-speed rotation of the tire. This blurring effect makes the image details unclear, further reducing the accuracy of tread pattern detection. The present application provides a tire pattern analysis system based on image analysis. By setting a multi-light source module, the multi-light source module is a multi-light source camera combination module, including white light, ultraviolet light and infrared light, thereby achieving a multi-light source illumination effect. The tread pattern detection data of the tire to be detected is obtained through the feedback results of the multi-light source, making the tread pattern detection effect more comprehensive. At the same time, when the tire to be detected is fixed, by driving the multi-light source module to rotate around the tire to be detected, the tread pattern of the tire to be detected can be detected from multiple angles based on multiple light sources, further improving the accuracy of tread pattern detection. Finally, by driving the tire to be detected to rotate, the tire to be detected is in a moving state. At this time, the tread pattern of the tire to be detected in a moving state can be detected, realizing multi-mode detection of the tire to be detected. The multi-light source module that rotates simultaneously with the tire to be detected minimizes the dynamic module generated by the rotation of the tire to be detected, thereby improving the accuracy of tread pattern analysis. Figure 1 As shown, steps S100-S600 are included.

[0050] Step S100: setting a multi-light source module and obtaining a tread pattern feedback image of a target tire under the multi-light source module.

[0051] It should be noted that if Figure 6 As shown, a feedback image set of the target tire under the multi-light source module is obtained. The multi-light source module includes white light, ultraviolet light and infrared light. The feedback image set includes white light feedback image, ultraviolet light feedback image and infrared light feedback image.

[0052] Step S200: performing first image preprocessing based on the white light feedback image, the ultraviolet light feedback image, and the infrared light feedback image.

[0053] It should be noted that after the first image preprocessing, a first processed image set is obtained. The method for obtaining the first processed image set includes: setting a reflectance calibration component, obtaining the light source brightness data of the white light feedback image, the ultraviolet light feedback image, and the infrared light feedback image respectively, obtaining the white light brightness item, the ultraviolet light brightness item, and the infrared light brightness item, and obtaining a brightness information set; obtaining the brightness mean based on the brightness information set, and adjusting the image brightness of the white light feedback image, the ultraviolet light feedback image, and the infrared light feedback image respectively based on the brightness mean to obtain the first processed image set.

[0054] Step S300: setting the light source detection initial value and the light source detection limit value to obtain the light source detection range.

[0055] It should be noted that if Figure 2 and Figure 6 As shown, the method for obtaining the light source detection range includes: based on the white light module, setting a first intensity range, the first intensity range is the illumination intensity range, obtaining the detection standard illumination, and obtaining a first intensity item, the detection standard illumination is the effective image acquisition range of the scratch when the white light module irradiates the tire to be inspected; based on the ultraviolet light module, setting second intensity information, the second intensity information is the band data information, and obtaining a second intensity item, the second intensity item is the optimal presentation of the stain image of the tire to be inspected under the irradiation of the ultraviolet light module in a fixed band; based on the infrared light module, setting a third intensity range, the third intensity range is the irradiance intensity range, and obtaining a third intensity item, the third intensity item is the heat difference when the infrared light module irradiates the tire to be inspected; the first intensity item, the second intensity item and the third intensity item are combined to obtain the light source detection range.

[0056] In the specific implementation process, it is now necessary to perform lighting testing on the pattern on the surface of a certain tire, and select white light, ultraviolet light and infrared light for irradiation respectively. First, according to the industrial testing standard illumination, the intensity range of white light is 10000 lux-30000 wlux. When the illumination is too low, that is, When the illuminance is <10000 lux, the scratch shadow contrast is insufficient and the rate of missed detection of micron-level cracks increases. When the illuminance is too high, that is, >At 30,000 lux, the curved surface is overexposed, which can easily obscure depth information. Therefore, the first intensity range selected is 10,000 lux-30,000 lux. Secondly, the second intensity information is set to the fixed ultraviolet band information. When the band is too low, the fluorescence signal of chemical pollutants such as silane residue is weak and difficult to observe. When the band information is high, it is easy to accelerate rubber aging and produce background fluorescence interference. Therefore, the selected band information is the 365nm band. Finally, the third intensity range is set to 500W / m 2 -1500W / m 2 , when <500W / m 2 When the internal delamination temperature difference is abnormal, it is difficult to detect. When >1500W / m 2 When the temperature is too high, the surface rubber is easily deformed by overheating, resulting in thermal artifacts. Therefore, the selected irradiance intensity range is 500W / m 2 -1500W / m 2 The final light source detection range is: white light intensity range is 10000 lux-30000 wlux, ultraviolet light band information is 365nm band, infrared light irradiance intensity range is 500W / m 2 -1500W / m 2 .

[0057] Step S400: split the light source detection range to obtain a split range set.

[0058] It should be noted that if Figure 3 As shown, the method for obtaining the split range set includes: setting a split item, the split item is an equal division ratio item, which is 50%, obtaining the intensity difference between the starting intensity and the ending intensity of the first intensity item and the third intensity item, and obtaining the first difference item and the third difference item; based on the combination results of the split item with the first difference item and the third difference item respectively, obtaining the first adjustment item and the third adjustment item; based on the combination of the first adjustment item and the third adjustment item with the starting intensity of the first intensity item and the third intensity item respectively, obtaining the first combination set and the second combination set; combining the first combination set, the second intensity item and the third combination set to obtain the split range set.

[0059] In the specific implementation process, it is necessary to perform lighting inspection on the surface defects of a certain tire, and select white light, ultraviolet light and infrared light for irradiation respectively. The selected light source detection range is: the intensity range of white light is 10000 lux-30000 wlux, the ultraviolet light band information is 365nm band, and the infrared light irradiance intensity range is 500W / m 2 -1500W / m 2 , that is, the first intensity item is 10000lux-30000wlux, and the third intensity item is 500W / m 2 1500W / m 2, the first difference item is 20000 lux, and the third difference item is 1000 W / m 2 According to the combination of the set split item 50% and the first difference item and the third difference item, the first adjustment item is 10000 lux and the third adjustment item is 500W / m 2 At this time, the combination of the first adjustment item and the third adjustment item with the starting intensity of the first intensity item and the third intensity item is 20000 lux and 1000 W / m 2 , the first set is 10000lux, 20000lux, 30000wlux, and the third set is 500W / m 2 , 1000W / m 2 、1500W / m 2 , the split range set is 10000lux, 20000lux, 30000wlux, 365nm band, 500W / m 2 , 1000W / m 2 、1500W / m 2 .

[0060] Step S500: adjusting the multiple light source modules based on the split range set, changing the light source intensity of the multiple light source modules, and obtaining a feedback image set after the light source intensity is changed to update the image data.

[0061] It should be noted that, after obtaining the feedback image set after the light source intensity is changed, the image data is updated to obtain the white light feedback image set, the ultraviolet light feedback image set and the infrared light feedback image set. The methods for obtaining the white light feedback image set, the ultraviolet light feedback image set and the infrared light feedback image set include: adjusting the white light value in the multi-light source module based on the white light adjustment range, and respectively obtaining the tread pattern feedback images under different white light values ​​to obtain the white light feedback image set; adjusting the ultraviolet light value in the multi-light source module based on the ultraviolet light adjustment range, and respectively obtaining the tread pattern feedback images under different ultraviolet light values ​​to obtain the ultraviolet light feedback image set; adjusting the infrared light value in the multi-light source module based on the infrared light adjustment range, and respectively obtaining the tread pattern feedback images under different infrared light values ​​to obtain the infrared light feedback image set.

[0062] Step S600: setting a judgment threshold, and performing classification judgment on the first processed image set and the updated feedback image set.

[0063] It should be noted that the judgment threshold is used to indicate the range of recognition results of the tire pattern and the comparison of the recognition results, obtain the classification feedback data of the first processed image set and the updated feedback image set, and then obtain the actual judgment result of the tread pattern feedback image of the target tire under the multi-light source module. The method for setting the judgment threshold includes: obtaining the pattern depth information of the tire to be detected, obtaining the target depth item, setting a first benchmark value, the first benchmark value is 30%, and obtaining the first warning value based on the combination result of the first benchmark value and the target depth item; obtaining the outer surface information of the tire to be detected, obtaining the target area item, setting a second benchmark value, the second benchmark value is 25%, and obtaining the second warning value based on the combination result of the second benchmark value and the target area item; setting the temperature difference limit value, the temperature difference limit value is ±2°C, and obtaining the third warning value. The first warning value, the second warning value and the third warning value are combined to obtain the judgment threshold.

[0064] In the specific implementation process, it is necessary to use a module a composed of white light, ultraviolet light and infrared light to illuminate a tire b and obtain an image. The tread pattern depth of the tire b is 10 mm and its outer surface area is 0.4 m 2 At this time, according to the set first pair of benchmark values ​​30%, the first warning value is 3mm, and according to the second pair of benchmark values, the second warning value is 0.1m. 2 According to the temperature difference limit of ±2°C, the third warning value is obtained. The tire is irradiated with white light, ultraviolet light, and infrared light respectively, and relevant information of the tire is obtained. It is obtained that there are 10 scratches on tire B, and their depths are 0.5mm, 0.3mm, 0.2mm, 0.2mm, 0.3mm, 0.3mm, 0.3mm, 0.2mm, 0.2mm, and 0.3mm respectively. At this time, the cumulative scratch depth is 2.8mm, which does not reach the set first warning value of 3mm; it is obtained that there are 3 stains on the tire, with an area of ​​0.03m 2 , 0.02m 2 , 0.02m 2 The cumulative stain area is 0.07m 2 , did not reach the set second warning value of 0.1m 2 ; Irradiate the tire evenly with infrared light and obtain feedback temperature information. The infrared light is set to 1000W / m 2 The temperature rise information obtained at the irradiation position was 5.4℃, 5.5℃, 5.5℃, 5.8℃, 6.2℃, 5.6℃, 5.7℃, 6.7℃, 5.7℃, and 5.2℃, which did not reach the set third warning value of ±2℃.

[0065] It should be noted that the first module is set to place the tire to be detected, and the multi-light source module is set to revolve around the first module, the first module can rotate, the first detection speed and the second detection speed are set, the first initial detection speed and the second initial detection speed are set, and the first initial speed item and the second initial speed item are obtained; based on the first initial speed item, the tire to be detected is rotated to determine whether the tire to be detected shakes, when the tire to be detected shakes, a decrement ratio is set, the decrement ratio is 10%, and the first initial speed item is decremented based on the decrement ratio until the tire to be detected does not shake, and the first detection speed is obtained; based on the second initial speed item, the tire to be detected is rotated to determine whether the tire to be detected shakes, when the tire to be detected does not shake, an increment ratio is set, the increment ratio is 10%, and the second initial speed item is increased based on the increment ratio until the tire to be detected shakes, and the second detection speed is obtained, the position of the multi-light source module is adjusted, and the first module and the tire to be detected are rotated based on the first detection speed.

[0066] It should be noted that if Figure 4 As shown, the multi-light source module includes a lateral telescopic module and a lighting module. The image acquisition range of the multi-light source module is obtained to obtain an effective range item. The multi-light source module is adjusted based on the lateral telescopic module. The position of the lighting module when the interaction range between the effective range item and the tire to be inspected is maximum is obtained to obtain the mark position, thereby realizing the adjustment of the position of the multi-light source module.

[0067] In the specific implementation process, Figure 5 As shown, it is now necessary to obtain an image of a tire through module A composed of white light, ultraviolet light and infrared light, and place tire C on the rotatable module B. Module A rotates around module B, and the effective range of white light of the light module in module A is obtained to be 80°, the effective range of ultraviolet light is 80°, and the effective range of infrared light is 90°. At this time, the comprehensive effective range of the light module in module A is 80°, and the effective range item is obtained. At this time, the distance between the light module in module A and tire C is laterally adjusted. When the interaction range between the effective range item of the light module and tire C is at its maximum, the position of the light module in module A is determined. At this time, the distance between the light module and tire C is 0.288m.

[0068] It should be noted that the first module and the tire to be detected are rotated at the first detection speed, and the camera module obtains the mark position of the tire to be detected, sets it as the mark initial point, obtains the length information between the mark initial points, and obtains the acquisition range item. The acquisition range item is the distance between the mark points, that is, the distance when the tire to be detected rotates one circle, that is, the circumference of the tire to be detected; based on the split range set, the white light module, the ultraviolet light module, and the infrared light module obtain the scratch information, contaminant fluorescence information and infrared temperature difference information of the tire to be detected based on the acquisition range item.

[0069] It should be noted that the first module and the multi-light source module are rotated at the second detection speed at the same time, and the surface image data of the tire to be detected is obtained by the detection method. After the surface image data of the tire to be detected is obtained to obtain image information, based on the set judgment threshold, when there is a value in the image information that exceeds the judgment threshold, the tread pattern detection feedback data is output. The detection method includes: obtaining the image acquisition range of the multi-light source module, obtaining a mapping range item based on the interaction information between the acquisition range and the tire to be detected, and the mapping range item is used to indicate the range within which the image acquisition range of the multi-light source module falls on the tire to be detected; dividing the tire to be detected based on the mapping range item to obtain at least Two division result items. When the mapping range item is half the area of ​​the tire, there are two division result items at this time. The starting point position information and the ending point position information of the division result item are obtained to obtain at least two division starting point items and division ending point items; the multi-light source module obtains surface image data of the tire to be detected under different split range sets within the first division result item to obtain a second image information subset; the rotation speed of the multi-light source module is lowered so that the division starting point item of the division result item in the sequence coincides with the division ending point item of the first division result item, and the surface image data of the tire to be detected under different split range sets within the sequence division result item are repeatedly obtained through the multi-light source module to obtain image information.

[0070] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is limited by the accompanying embodiments and their equivalents.

Claims

1. A tire pattern analysis method based on image analysis, comprising: Setting a multi-light source module, obtaining a tread pattern feedback image of a target tire under the multi-light source module, and obtaining a feedback image set, wherein the multi-light source module includes white light, ultraviolet light, and infrared light, and the feedback image set includes a white light feedback image, an ultraviolet light feedback image, and an infrared light feedback image; Its characteristics are: performing a first image preprocessing on the white light feedback image, the ultraviolet light feedback image, and the infrared light feedback image to obtain a first processed image set; Based on the multi-light source module, the light source detection initial value and the light source detection limit value are set, the light source detection range is obtained based on the light source detection initial value and the light source detection limit value, and the light source detection range is split to obtain a split range set; Adjusting the multiple light source modules based on the split range set to obtain a white light adjustment range, an ultraviolet light adjustment range, and an infrared light adjustment range, respectively, changing the light source intensity of the multiple light source modules, respectively obtaining updated image data of the feedback image sets after the light source intensity changes, respectively obtaining a white light feedback image set, an ultraviolet light feedback image set, and an infrared light feedback image set, and then obtaining an updated feedback image set; A judgment threshold is set, and the judgment threshold is used to represent the recognition result range and recognition result comparison of the tire pattern. The first processed image set and the updated feedback image set are classified and judged based on the judgment threshold, and the classification feedback data of the first processed image set and the updated feedback image set are obtained, thereby obtaining the actual judgment result of the tread pattern feedback image of the target tire under the multi-light source module.

2. The tire tread pattern analysis method based on image analysis according to claim 1, characterized in that: The method for obtaining the first processed image set includes: Setting a reflectivity calibration component, obtaining light source brightness data of a white light feedback image, an ultraviolet light feedback image, and an infrared light feedback image, respectively, obtaining a white light brightness item, an ultraviolet light brightness item, and an infrared light brightness item, and obtaining a brightness information set; A brightness mean is obtained based on the brightness information set, and the image brightness of the white light feedback image, the ultraviolet light feedback image, and the infrared light feedback image are adjusted based on the brightness mean to obtain a first processed image set.

3. The tire tread pattern analysis method based on image analysis according to claim 1, characterized in that: The method for obtaining the light source detection range includes: Based on the white light module, a first intensity range is set, the first intensity range is an illumination intensity range, a detection standard illumination is obtained, and a first intensity item is obtained. The detection standard illumination is an effective image acquisition range of scratches when the white light module illuminates the tire to be inspected; Based on the ultraviolet light module, second intensity information is set, the second intensity information is band data information, and a second intensity item is obtained. The second intensity item is the best presentation of the stain image of the tire to be inspected under the irradiation of the ultraviolet light module with a fixed band; Based on the infrared light module, a third intensity range is set, the third intensity range is an irradiance intensity range, and a third intensity item is obtained, the third intensity item is a heat difference when the infrared light module irradiates the tire to be inspected; The first intensity item, the second intensity item, and the third intensity item are combined to obtain a light source detection range.

4. The tire tread pattern analysis method based on image analysis according to claim 3, characterized in that: The method for obtaining the split range set includes: Set a split item, the split item is an equal-division item, obtain the intensity difference between the starting intensity and the ending intensity of the first intensity item and the third intensity item, and obtain the first difference item and the third difference item; Obtaining a first adjustment item and a third adjustment item based on combination results of the split item with the first difference item and the third difference item respectively; A first combination set and a second combination set are obtained based on the combination of the first adjustment item and the third adjustment item with the starting point intensities of the first intensity item and the third intensity item respectively; The first combination set, the second intensity item and the third combination set are combined to obtain a split range set.

5. The tire tread pattern analysis method based on image analysis according to claim 1, characterized in that: The method for obtaining the white light feedback image set, the ultraviolet light feedback image set, and the infrared light feedback image set includes: adjusting the white light value in the multi-light source module based on the white light adjustment range, obtaining tread pattern feedback images under different white light values, and obtaining a white light feedback image set; Adjusting the ultraviolet light value in the multi-light source module based on the ultraviolet light adjustment range, respectively obtaining tread pattern feedback images under different ultraviolet light values, and obtaining an ultraviolet light feedback image set; The infrared light value in the multi-light source module is adjusted based on the infrared light adjustment range, and tread pattern feedback images under different infrared light values ​​are respectively obtained to obtain an infrared light feedback image set.

6. The tire tread pattern analysis method based on image analysis according to claim 1, characterized in that: The method for setting the determination threshold includes: Acquire tread depth information of the tire to be inspected, obtain a target depth item, set a first benchmark value, and obtain a first warning value based on a combination of the first benchmark value and the target depth item; Obtaining outer surface information of the tire to be inspected, obtaining a target area item, setting a second reference value, and obtaining a second warning value based on a combination of the second reference value and the target area item; The temperature difference limit value is set to obtain the third warning value, and the first warning value, the second warning value and the third warning value are combined to obtain the judgment threshold.

7. A tire pattern analysis system based on image analysis, characterized by: A tire tread pattern analysis method based on image analysis according to any one of claims 1 to 6 is used, comprising: Acquisition module: Sets a multi-light source module to acquire a tread pattern feedback image of the target tire under the multi-light source module to obtain a feedback image set. The multi-light source module includes white light, ultraviolet light, and infrared light. The feedback image set includes a white light feedback image, an ultraviolet light feedback image, and an infrared light feedback image. Processing module: performing first image preprocessing based on the white light feedback image, the ultraviolet light feedback image, and the infrared light feedback image to obtain a first processed image set; Splitting module: Based on the multi-light source module, the light source detection initial value and the light source detection limit value are set, the light source detection range is obtained based on the light source detection initial value and the light source detection limit value, the light source detection range is split to obtain a split range set, the multi-light source module is adjusted based on the split range set to obtain a white light adjustment range, an ultraviolet light adjustment range, and an infrared light adjustment range, the light source intensity of the multi-light source module is changed respectively, and the feedback image set after the light source intensity change is obtained to update the image data, and obtain a white light feedback image set, an ultraviolet light feedback image set, and an infrared light feedback image set; Comparison module: Set a judgment threshold, which is used to indicate the range of tire pattern recognition results and the comparison of recognition results. Based on the judgment threshold, classify and judge the first processed image set and the updated feedback image set, obtain the classified feedback data of the first processed image set and the updated feedback image set, and then obtain the actual judgment result of the tread pattern feedback image of the target tire under the multi-light source module.

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