TW202007937A - Tire deterioration evaluation system and method and program thereof realizing high-precision evaluation for the material deterioration of a tire by measuring the cracks generated in an area not worn by the use of a used tire - Google Patents

Abstract

The subject of this invention is to realize high-precision evaluation for the material deterioration of a tire by measuring the cracks generated in an area not worn by the use of a used tire. A solution means of the present invention includes: measuring the displacement of a ground plane of the tire, generating the distance data 14 making the determination of a mountain and a ditch of the ground plane possible, shooting the ground plane, generating the ground plane image data 15, extracting an evaluation area for detecting the cracks from the area of the ditch, and generating the evaluation area image data 19; smoothing the evaluation area image data 19, removing noise to generate the smoothed image data 20, furthermore, carrying out the edge processing, generating the edge processing image data 21 making the boundaries of the cracks clear, calculating the proportion of all the boundaries of the cracks of the edge processing image data 21, generating the crack proportion data 22, and outputting the crack proportion data 22.

Description

Tire deterioration evaluation system and its method and program

The present invention relates to a tire deterioration evaluation system, a method, and a program for evaluating the deterioration of used used tires by measuring cracks.

In the current automobile resource recycling industry, there is concern about the shrinking of the automobile used parts market, and the promotion of the use of used parts has been an issue for many years. It is a general idea to throw away new products in Japan. In particular, tires require a lot of consumables, so the replacement cycle of new products is fast. It is said that the generation of unnecessary tires is about 1 million tons a year, but there are also many users. There are various methods of disposal, and it is also worrying that the environmental effects caused by the chemical substances suspected of having endocrine disruption effect during incineration disposal will affect the human body. In this context, there is no clear evaluation criterion based on the quantitative measurement of the used used tires. Therefore, the ambiguous judgment criterion by the user's arbitrariness or by the visual inspection of the inspection operator, although available, is often used. Will be punished. Therefore, it can be considered to set a clear quality standard and a deterioration evaluation system, and the circulation period of used medieval tires can be further extended. So far, there have been several patent applications related to the inspection of tire quality or the evaluation of wear.

For example, Patent Literature 1 discloses a device called "Tire Uneven Wear Management Method", which automatically detects the uneven wear of the tires until the corresponding policy is determined. In this invention, the tire shape is read by a scanner and compared with the shape of the new tire of the same tire to obtain a difference shape, and an uneven wear database is searched based on the difference shape to determine unevenness The presence and type of wear and tear, after investigating the uneven wear, displays the tire position replacement method and other corresponding policy instructions extracted by searching the corresponding policy database. Therefore, it is possible to reduce the labor without relying on the operator's experience or knowledge.

Furthermore, in Patent Document 2, the name of "tire wear monitoring device", a different-color rubber member for wear monitoring in a different color from the tread rubber layer is embedded at the bottom of the tread layer of the tire, by Image monitoring of the wear of the tread makes it possible to monitor the tire wear of the running vehicle, and at the same time it is easy to grasp the timing of tire replacement.

In addition, Patent Document 3 discloses the name of [Tire Inspection Method and Device], which is a technique that can detect defective parts from tire images simply and in a short time without being skilled, and can accurately and efficiently perform inspection. This invention is based on the detection of the image signal when checking the quality of the tire based on the black and white tone-based image signal obtained by shooting the tire with a laser-type non-destructive inspection machine and a CCD (Charge Coupled Device) camera, etc. The defective part is marked, and the defective part is marked and the video signal is displayed on the monitor.

Patent Document 4 discloses the invention of "APPARATUS AND METHOD FOR TIRE SIDEWALL CRACK ANALYSIS", which detects and analyzes cracks generated on the side of the tire. The invention detects cracks generated on the side of the tire from the image, grayscales the image, and then binarizes the monochromatic image to detect the jagged shape or image front end with the binarized image For discontinuous shapes such as narrow shapes, the size of cracks is measured and evaluated.

Patent Literature 5 is a patent proposed by the applicant of this case, which discloses the name of [tire deterioration evaluation device and its system, its method, and its program], an invention that detects and analyzes cracks generated in the grooves of tires. This invention focuses on cracks in the grooves of the area that does not directly contact the road surface and is not worn by the use of the tire. While detecting the displacement of the ground contact surface of the tire, the groove is detected, and the ground contact surface is captured and the image is binary In the chemical treatment, the cracks in the grooves are specified, the area of the cracks and other areas and their ratios are obtained, and the deterioration accuracy of the material of the tire is evaluated with high accuracy.

[Patent Document 1] Japanese Patent Application Publication No. 2009-102009 [Patent Document 2] Japanese Patent Application Publication No. 2006-123703 [Patent Document 3] Japanese Patent Application Publication No. 2001-13081 [Patent Document 4] US Patent Application Publication No. 2015/0139498 [Patent Literature 5] Japanese Patent Laid-Open No. 2015-161575

However, in the technology disclosed in Patent Document 1, although the wear of the tire can be measured and evaluated, the deterioration of the used tire is not only abraded but also has cracks, and there is a problem that the cracks cannot be measured and evaluated. Furthermore, in the technology disclosed in Patent Document 2, the rubber member of a different color preliminarily embedded in the bottom of the tread portion is exposed due to the wear of the tread portion. Therefore, the tire monitoring image can be used to monitor the tire even when the vehicle is walking. Abrasion, but there are still issues that cannot be measured and monitored regarding cracks caused by the deterioration of the rubber material itself over the years. Furthermore, in the technique disclosed in Patent Document 3, when air is mixed between the top inner surface of the tire to be inspected, when binarization is performed, this part becomes a white level, although Marking this part as a defective part makes the detection of the defective part easy, but the tire to be inspected is a new tire, and the measurement and evaluation of deterioration caused by use or aging cracks cannot be performed. Subject. In Patent Document 4 or Patent Document 5, cracks are photographed, and the degree of the cracks is evaluated after the binarization of the monochrome is performed by the image processing. However, the cracks generated in the grooves will be fine and linear, so High accuracy requires a certain limit to the crack part. Furthermore, when the surface of the groove including the tire is used on the tire, dust and sand such as sand or small stones are often attached, and dust and dust such as sand or small stones are detected in the crack. The time becomes noise and this point also causes a decrease in accuracy.

The present invention is created to deal with such a conventional situation, and its purpose is to provide a tire deterioration evaluation system and method and program thereof, by measuring the deterioration of used used tires by measuring the wear and tear due to the use of tires Area, that is, not a mountain on the ground surface, but a crack generated in a groove that is less likely to be affected by wear or damage caused by vehicle walking, and then eliminate noise, while grasping and The information related to cracks is processed to accurately evaluate the deterioration of the tire material.

In order to achieve the above object, the tire deterioration evaluation system of the first invention includes: a displacement measuring unit that measures the displacement of the tire's ground contact surface and generates distance data (data) that makes it possible to distinguish the mountain portion and the groove portion of the ground contact surface; The ground plane generates a photographing section of ground plane image data; the ground plane image data refers to the distance data and the evaluation area for detecting cracks is extracted from the area of the groove in the ground plane to generate an evaluation area Extraction area of the evaluation area of the image data; smoothing processing of the image data of the evaluation area and generating smoothed image data with noise removed; edge processing of the image data of the smoothing processing and generation of cracks The edge detection processing part of the edge-processed image data whose boundary part is clear; calculates the proportion of the entire boundary part of the cracks of the edge-processed image data and generates a degradation evaluation part of the crack rate data; outputs the crack rate data The output section. The tire deterioration evaluation system configured as described above has a function of measuring the displacement of the tire ground contact surface by the displacement measuring unit to obtain distance data, and making it possible to distinguish the mountain portion and the groove portion of the tire ground contact surface. In addition, it has the function of photographing the ground surface of the tire by the imaging unit to obtain video data. Furthermore, the evaluation area extraction unit extracts the evaluation area for detecting cracks from the ground plane image data while referring to the distance data and functions. The smoothing processing section smoothes the noise of the cracks caused by the attachments on the tire surface into data about the surrounding images and removes them in advance, and generates the smoothed data as the smoothed data. Furthermore, the edge detection processing unit performs edge processing on the smoothed image data, clarifies the boundary portion of the crack, and generates the clarified data as edge-processed image data. As the smoothing processing performed by the smoothing processing unit, for example, a Gaussian filter (Gaussian filter) or the like can be used. In addition, as the edge processing performed by the edge processing detection unit, a Canny method or the like can be used. Since the groove portion does not contact the road surface when a normal vehicle is traveling, there is a high possibility that cracks appearing in this area that become wear and tear of the rubber that does not depend on the material of the tire and deteriorate over time. Therefore, in particular, in order to measure the crack in the groove, the displacement of the ground plane is measured, and then the ground plane is photographed to obtain distance data and ground plane image data. Then, while referring to the distance data, the ground plane image data is used to extract the evaluation area from the trench area. For the ground plane image data within the range of the evaluation area, first, noise is removed by smoothing processing, and then cracks are detected by edge detection. Because the groove does not contact the road surface, the color of the rubber inside can be seen in the cracks, so it is usually measured as black. On the other hand, the grooves of the parts where no cracks have occurred are deteriorated and turned from black to gray. Therefore, in the tire deterioration evaluation system of the present invention, the edge detection processing section detects the boundary portion of black and gray as the edge, and recognizes the color of the rubber inside as the crack identification.

Furthermore, in the present invention, although it is divided into a displacement measuring unit and a photographing unit, when a distance image sensor (distance image sensor) disclosed in, for example, Japanese Patent Application Laid-Open No. 2011-179925 is used, it can be considered as a distance The image sensor is a function that combines the displacement measurement unit and the imaging unit, so even if a distance image sensor is used, it does not deviate from the scope of the present invention. In addition, in the invention of the present application, although a component including the term [part] is used in the displacement scanning measurement unit, etc., the [part] refers to the combination of [component] or [electronic circuit], or [unit of the structure] or [these The assembled device] is conceptualized and expressed.

Furthermore, the tire deterioration evaluation system of the second invention is characterized in that, in the first invention, the deterioration evaluation unit evaluates the ratio using evaluation threshold data predetermined for evaluating deterioration and generates evaluation level data ( rank data), the output unit outputs the evaluation rank data. In the tire deterioration evaluation system configured as described above, in addition to the effect of the first invention, the deterioration evaluation unit uses the evaluation threshold data to perform grade evaluation on the proportion of the entire boundary portion of the cracks. .

Moreover, the tire deterioration evaluation system of the third invention is characterized in that, in the first invention or the second invention, the displacement measuring unit includes: calculating and generating the width of the groove portion of the ground contact surface of the tire from the distance data A groove width calculation part of the groove width data; a groove depth calculation part that calculates the depth of the groove part from the distance data and generates groove depth data; generates groove part number data about the number of the groove parts, and the output part outputs the groove width data and the At least one of the groove depth data or the groove number data. In the tire deterioration evaluation system configured as described above, in addition to the effects of the first or second invention, the groove width calculation unit functions to calculate the groove width, the groove depth calculation unit calculates the groove depth to function, and the displacement measurement unit and the output unit complement each other. More specifically, the structure of the groove in the ground contact surface of the tire functions.

Furthermore, the tire deterioration evaluation system of the fourth invention is characterized in that in any one of the first invention to the third invention, the output unit simultaneously outputs the data generated in the deterioration evaluation unit and the photography The ground plane image data generated by the unit or the evaluation area image data extracted by the evaluation area extraction unit. In the tire deterioration evaluation system configured as described above, in addition to the function of any one of the first invention to the third invention, the output unit simultaneously outputs the evaluation of the digital value or character regarding the numerical value or grade The data and the original ground plane image data or evaluation area image data that become the evaluation object function to confirm the validity of the possibility of including the evaluation error. Moreover, the state of the tire surface is grasped by both sides of text information and image information such as numerical values or characters.

A tire deterioration evaluation method of a fifth invention includes: measuring a displacement of a tire's ground contact surface and generating a displacement measurement program that makes distance data of a mountain and a groove of the ground contact surface possible to distinguish; shooting the ground contact surface and generating a ground contact image The photographic program of the data; the evaluation area extraction program that refers to the distance data from the ground plane image data and extracts the evaluation area for detecting cracks from the groove area in the ground plane and generates the evaluation area image data; for the evaluation area Smoothing the image data and generating a smoothing processing program that removes the smoothed image data for noise removal; performing edge processing on the aforementioned smoothed image data and generating edge processing image data that clarifies the boundary of the crack Detection processing program; calculation of the proportion of the entire boundary portion of the crack of the edge-processed image data to generate a degradation evaluation program for crack ratio data; output program for outputting the foregoing crack ratio data. In the tire deterioration evaluation method configured as described above, since the first invention is grasped by the method invention, its function is the same as the first invention.

A sixth invention is a tire deterioration evaluation method characterized in that in the fifth invention, the deterioration evaluation program evaluates the ratio using evaluation threshold data predetermined for evaluating deterioration to generate evaluation grade data, and the output program outputs the evaluation Level data. Since the tire deterioration evaluation method of the above-mentioned configuration grasps the second invention based on the method invention, its function is the same as that of the second invention.

Furthermore, the tire deterioration evaluation method of the seventh invention is characterized in that in the fifth invention or the sixth invention, the displacement measurement program includes: calculating and generating the width of the groove portion of the ground contact surface of the tire from the distance data A groove width calculation program for groove width data; a groove depth calculation program for calculating the depth of the groove portion from the distance data and generating groove depth data; generating groove number data about the number of the groove portions, and the output program outputting the groove width data, the foregoing At least one of the groove depth data or the groove number data. Since the tire deterioration evaluation method of the above-mentioned configuration grasps the third invention based on the method invention, its function is the same as that of the third invention.

Furthermore, the tire deterioration evaluation method of the eighth invention is characterized in that in any one of the fifth invention to the seventh invention, the output program simultaneously outputs the data generated in the deterioration evaluation program and the photography The ground plane image data generated by the program or the evaluation area image data extracted by the evaluation area extraction program. In the tire deterioration evaluation method configured as described above, since the fourth invention is grasped by the method invention, its function is the same as that of the fourth invention.

The tire deterioration evaluation program of the ninth invention is a program executed for tire deterioration evaluation, and is characterized in that the computer executes the following procedure: measuring the displacement of the tire's contact surface and generating the mountain and groove portions of the aforementioned contact surface Displacement measurement program judged as possible distance data; photographic program for shooting the ground plane and generating ground plane image data; referring to the distance data from the ground plane image data and extracting from the area of the groove in the ground plane for detection Evaluation area extraction program of crack evaluation area and generation of evaluation area image data; smoothing processing of the aforementioned evaluation area image data and generation of noise-removing smoothing image data; smoothing processing image of the aforementioned smoothing image Perform edge processing on the data and generate an edge detection processing program for edge processing image data that clarifies the boundary of the crack; calculate the ratio of the entire boundary portion of the crack of the edge processing image data to generate the degradation of the crack ratio data Evaluation program; output program for outputting the aforementioned crack ratio data. Since the tire deterioration evaluation program constituted as described above grasps the fifth invention based on the invention of the formula, its function is the same as that of the fifth invention.

In the tire deterioration evaluation system according to the first invention, since the cracks generated in the groove portion of the tire's ground contact surface can be measured, it is possible to quantitatively evaluate the deterioration over time that does not depend on the wear of the tire rubber. In addition, since the distance measurement unit measures the displacement of the ground plane to obtain distance data, and the ground plane image data is obtained from the imaging unit, the groove of the ground plane can be detected from the data, and the cracks generated in the groove can be accurately measured . In addition, since the evaluation area is extracted in advance in the area of the groove portion, and then the noise removal process is performed, it is possible to prevent the generation of noise caused by tire attachments such as sand or small stones. Therefore, it is possible to prevent the excessive evaluation of the deterioration caused by the noise easily generated in the used tires with a small degree of deterioration. Furthermore, since the edge detection process is performed, the crack can be detected in accordance with the entity of the portion of the groove of the ground surface that does not directly contact the crack generated at the road surface. Since the edge detection process is performed after the smoothing process is performed, the proportion of the entire boundary portion of the crack is calculated and ratio data is generated, so it is possible to measure the accuracy with high accuracy in accordance with the entity of the crack not directly provided in the groove of the road surface The proportion of cracks.

In the tire deterioration evaluation system related to the second invention, since evaluation grade data is generated in addition to the effect of the first invention, an evaluation grade for the deterioration of the tire can be given, and the grade can be distinguished. In this way, if it is a distinguishable grade, the tire can be classified according to the deterioration state of the tire, and the effect of increasing the use value as a rough standard of the price in the used market of used tires can be expected. Furthermore, the degree of difference in grades can be changed by the degree of subdivision of the evaluation threshold data for evaluation grades. In addition to the price in the market, there is also maintenance as a general standard for tire replacement. Indicators to increase the use value. Therefore, the safety and economy of the tire can be improved.

In the tire deterioration evaluation system related to the third invention, in addition to the effects of the first or second invention, at least any one of the data of the groove width, the groove depth, and the number of groove portions is also output to the output section, so this system’s The user can obtain specific information about the structure of the tire groove to be evaluated.

In the tire deterioration evaluation system related to the fourth invention, in addition to the effects of any of the first invention to the third invention, the validity of the evaluation can be confirmed, and the user of the system can use numerical values or text It can easily and accurately grasp the deterioration state of the tire on both sides of the text information such as the image information on the groove portion to be evaluated.

Since the tire deterioration evaluation method related to the fifth invention is a method invention to grasp the invention of the first invention, its efficacy is the same as that of the first invention.

Since the tire deterioration evaluation method related to the sixth invention is a method invention to grasp the invention of the second invention, its efficacy is the same as that of the second invention.

Since the tire deterioration evaluation method related to the seventh invention is a method invention to grasp the invention of the third invention, its efficacy is the same as that of the third invention.

Since the tire deterioration evaluation method related to the eighth invention is a method invention to master the invention of the fourth invention, its efficacy is the same as that of the fourth invention.

The tire deterioration evaluation program related to the ninth invention is to master the invention of the fifth invention based on the invention of the program, so its efficacy is the same as that of the fifth invention.

The tire deterioration evaluation system according to the first embodiment of the present invention will be described below with reference to FIGS. 1 to 10. FIG. 1 is a block diagram of a tire deterioration evaluation system related to the first embodiment of the present invention. 2 is a flowchart of tire deterioration evaluation performed by the tire deterioration evaluation system related to the first embodiment of the present invention. This figure is a diagram showing the execution procedure of the tire degradation evaluation method and program of the present invention. With reference to the figure, the flow of data processing in the tire degradation evaluation system 1 and the tire degradation evaluation method and The description of the implementation of the program is synonymous. In addition, the description of the program indicated by S is overwritten in FIG. 2 and the elements indicated by broken lines are the elements of the tire deterioration evaluation system 1 shown in FIG. 1, and the symbols are regarded as the same. In FIG. 1, the tire deterioration evaluation system 1 is composed of the following components: a displacement scanning measurement unit 4; a photography unit 5; a processing unit 3; an output unit 2; and a processing database 6 and an evaluation database 7 as a database group. The tire deterioration evaluation system 1 can assume an portable system that can be evaluated by integrating these components and letting the evaluator hold it close to the surface of the tire ground surface. As the output unit 2 at this time, it may be considered as a small display device or a data transmission unit to transfer data to other devices. Alternatively, even if the components of FIG. 1 are not integrated, the displacement scanning measurement unit 4 and the imaging unit 5 can be separated into different bodies as sensors, and can be regarded as transmitting data to the processing unit 3 by wire or wirelessly. Situational system. Furthermore, it can be assumed that the system transports used tires and acquires data at least in a frame provided with the displacement scanning measurement unit 4 and the imaging unit 5, and evaluates the data in the processing unit 3 and outputs the results in the output unit 2 based on the data.

The following description will be made with reference to FIGS. 2 and 3. The displacement scanning measurement unit 4 of the tire deterioration evaluation system 1 vertically arranges the ground plane forming the so-called tread pattern of the tire, scans the sensor in the width direction of the ground plane of the tire, and can discriminately measure the formation The unevenness of the mountain and groove of the tread pattern of the ground contact surface. Specifically, it is measured as the distance data 14 from the displacement scanning measurement unit 4. Therefore, if the difference between the distance data of the mountain and the groove is taken, the depth of the groove to the mountain or the height of the mountain to the groove can be obtained. That is, so-called residual grooves can be obtained. As the sensor used as the displacement scanning measurement unit 4, a sensor that emits electromagnetic waves or ultrasonic waves such as laser light or infrared rays or ultrasonic waves to detect the reflected waves and perform distance measurement can be used. In addition, since the displacement scanning measurement unit 4 scans the contact surface of the tire, it is possible to measure the distance between the mountain portion and the groove portion of the tread pattern over the width of the tire. Using the displacement scanning measurement unit 4 to measure the displacement on the tire contact surface is the displacement measurement program of step S1. The displacement scanning measurement unit 4 stores the distance data 14 readable in the processing database 6. In addition, in the embodiment of the present embodiment, a scanable displacement scanning measurement unit 4 is used as the displacement measurement unit, but even if it is not scanned, as long as the height of the mountain portion or the depth of the groove portion in the width direction of the tire contact surface can be measured Yes, scanning is not necessary.

In the present embodiment, it is natural to perform displacement measurement of the tire ground contact surface to quantitatively measure the depth of the residual groove (residual groove). This is to grasp the position of the groove portion of the tread pattern located on the ground contact surface of the tire. The groove part is used to take an image for measuring cracks or cracks. In this way, the reason for selecting the groove portion for measurement will be described. The used tires treated by the invention of this case are different from the new tires in that the ground contact surface is worn due to use. Therefore, it is difficult to produce cracks due to deterioration over the years. On the other hand, sudden use of scars or debris may occur in the mountain portion of the ground surface with use. Since such flaws or debris also greatly affect the quality of the tire, its detection is of course important, but if you want to detect cracks or cracks accompanied by pure deterioration of the rubber material due to aging itself, errors are likely to occur, warranty It is difficult to evaluate the accuracy of deterioration over time. Therefore, even in normal use, attention is paid to cracks or cracks generated in the groove portion of the ground surface that will not be in contact with the ground, and it is intended to evaluate the deterioration over the years based on the cracks or cracks generated in the groove portion. In order to select the groove correctly, it is necessary to discriminately measure the displacement of the mountain portion and the groove portion of the tread pattern.

The photographing section 5 is a member that includes a tread pattern and photographs the tire ground contact surface. A well-known CCD (Charge Coupled Device) sensor or CMOS (Complementary Metal Oxide Semiconductor) sensor can be used. . The imaging unit 5 can also have a scanning function. However, since the imaging sensor (image sensor) can take in images in a plane, there is no need for the scanning function. Using the imaging unit 5 to image the contact surface of the tire is the imaging program of the object to be measured in step S2. The photographing unit 5 stores the ground plane image data 15 about the ground plane that is photographed in the processing database 6 in a readable manner. The groove width calculation unit 8 of the processing unit 3 reads the distance data 14 obtained by the displacement scanning measurement unit 4 from the processing database 6, and generates the groove width data 16 and the groove number data 18 by acquiring the difference in the tire width direction. It is read out and stored in the processing database 6, and this program is the groove width calculation program in step S3. Further, the groove depth calculation unit 9 of the processing unit 3 reads the distance data 14 obtained from the displacement scanning measurement unit 4 from the processing database 6 and obtains it by the mountain height direction and valley depth direction of the tread pattern of the tire The difference generates groove depth data 17, which is readable and stored in the processing database 6. This program is the groove depth calculation program in step S4. In addition, the groove width calculation unit 8 and the groove depth calculation unit 9 acquire data on the tire width direction position from the distance data 14, and include each of the position data generation groove width data 16, groove depth data 17, and groove part number data 18. In the embodiment of this embodiment, the groove width calculation unit 8 and the groove depth calculation unit 9 are additionally provided in addition to the displacement scan measurement unit 4, but the displacement scan measurement unit 4 and the groove width calculation unit 8 and the groove depth calculation unit 9 are regarded as The displacement scanning measurement unit 4 may be integrated as all functions. In this case, it is sufficient to combine steps S1, S3, and S4 as the displacement measurement program (S1).

The photographing unit 5 generates ground plane image data 15 and stores it readable in the processing database 6, and this program is the photographing program of the object to be measured in step S2. The surface of an actual used tire is shown in Figure 3(a). It may be difficult to see clearly in this photo, and a crack is formed in the groove portion 26 formed vertically at the center. However, since the mountain portion of the tire is in contact with the road surface due to friction and abrasion, it does not appear to have cracks or cracks. At the same time, small flaws and the like caused by ground contact with the road surface can be observed. It can be clearly seen from Fig. 3(a) that the cracks of the ditch 26 that is not in contact with the road can be observed in the shape of a small connection, but the scars of the mountain part are not visible in the elongated shape, and can be observed to be scattered into points close to a circle or a rectangle shape. In addition, in the form of the present embodiment, although the other sensors of the displacement scanning measurement unit 4 and the imaging unit 5 are used to obtain the distance data 14 and the ground plane image data 15, as described above, a combination of these two functions is provided. For a distance image sensor, etc., the distance data 14 and the ground plane image data 15 may be obtained by one sensor.

The evaluation area extraction unit 10 of the processing unit 3 reads the ground plane image data 15 from the processing database 6, selects the groove portion of the ground plane from the ground plane image data 15, and extracts and determines the evaluation area in the groove portion 26. The procedure is the evaluation area extraction procedure of step S5. When selecting the groove portion 26, the evaluation area extraction unit 10 can determine where the groove portion 26 is present on the ground contact surface of the tire by reading the groove width data 16, groove depth data 17, and groove number data 18. The state in which the groove portion 26 is selected and the evaluation area is extracted conceptually is the range of the black square represented by symbol A in FIG. 3(a), and the range of the square is extracted by the evaluation area extraction unit 10 shown in FIG. 3(b). The data on the evaluation area determined in the ground plane image data 15 is readable and stored in the processing database 6 as the evaluation area image data 19.

The smoothing processing unit 11 reads out the evaluation area image data 19 from the processing database 6, and removes the noise of the evaluation area image data 19 extracted in the groove of the ground plane image data 15 by smoothing. This procedure is a step S6 noise removal process. Since the measurement object is a used tire, there are various attachments on its surface, but if the color of the attachment is black, the crack in the groove 26 is black as shown in FIG. 3(a). , So it is added as noise when processing the image. In addition, in the embodiment of the present embodiment, after the noise removal processing program S6 performed by the smoothing processing unit 11, the crack detection program S7 performed by the edge detection processing unit 12 is on standby, so even if it is not black, if it is white Since the color difference from the groove portion 26 is large, it will be used as an edge detection, so it is also necessary to remove noise caused by white deposits. Therefore, in order to eliminate noise caused by deposits such as white or black sand or pebbles with a large difference in color from the average color of the groove 26, each pixel is included in the range of surrounding pixels It becomes important to smooth the image. The image data 19 of the evaluation area from which noise has been removed by the smoothing processing unit 11 is stored in the processing database 6 as readable smoothing image data 20.

Next, the edge detection processing unit 12 reads out the smoothed image data 20 from the processing database 6, and detects the cracks by the edge detection processing on the smoothed image data 20 from which noise has been removed. The procedure is step S7 Edge detection handler. In the tire deterioration evaluation system 1 according to the aspect of the present embodiment, cracks or cracks generated in the groove portion 26 of the used tire are detected, and the condition is continuously elongated and linearly shown as shown in FIG. 3(a). Therefore, if you want to quantitatively evaluate the cracks or cracks, it is important to quantitatively measure the boundary part, that is, the boundary part, with high accuracy, and to evaluate it based on the amount. In the patent application shown in Patent Document 5, the inventors binarized monochromatic images of the state of the cracks of the groove 26, and invented an evaluation of the amount of cracks using the area ratio of the data of the white image and the black image. It is found that the evaluation of this amount still has room for improvement in accuracy, and this invention is achieved.

Specifically, the description will be made with reference to FIGS. 3(a)-(d). As described above, FIG. 3 (a) shows the ground plane image data 15 of the ground plane of the tire photographed by the photographing unit 5, and (b) is the evaluation area image data 19 shown in the black frame of symbol A in (a) In the conceptual diagram, two types of image data 19 in the evaluation area are processed and compared as (c) and (d). (c) A conceptual diagram of the image data in the case of performing monochromatic binarization processing on the evaluation area image data 19 by the technique disclosed in Patent Document 5, (d) becomes the tire degradation related to the form of this embodiment The conceptual diagram of the edge-processed video data when the edge detection processing unit 12 of the evaluation system 1 performs edge processing on the evaluation area video data 19. If comparing Fig. 3 (c) with (d), it is apparent that the evaluation area image data 19 of (b) is more similar to (d). Since the cracks generated in the groove 26 of the tire do not touch the road surface, the pure deterioration of the rubber material due to the aging of the tire can be observed. The shape of the crack or crack in this case forms a long and thin continuous line, so in order to quantify In order to evaluate the cracks or cracks, it is necessary to quantify the image processing according to its shape. The inventors detected the boundary of the cracks with high accuracy through the processing of edge detection, so they found that they are suitable for quantitative evaluation of the cracks. Invention. In (c), by setting the threshold value of the binarization process in the groove 26, the noise caused by sand or small stones becomes white or black and reverses, so it is also necessary to specify each tire individually There is also a possibility that it is difficult to grasp the shape of the crack as a whole through a plurality of used tires. Therefore, the tire deterioration evaluation system 1 provided with the edge detection processing unit 12 that uses the boundary line where the color changes, that is, the edge portion as the edge detection can consistently detect the crack in the groove portion with higher accuracy for all tires. The smoothed image data 20 that is subjected to edge processing by the edge detection processing unit 12 is stored as readable edge data 21 in the processing database 6. The degradation evaluation unit 13 reads the edge-processed image data 21 as shown in FIG. 3(d) from the processing database 6, and the edge-processed image data 21 calculates the area of the edge portion shown in white and contains other parts shown in black The ratio of the total area of is generated using this ratio as the crack ratio data 22 and stored in the processing database 6. In addition, as described above, in the present invention, the boundary portion of the crack is focused, and the ratio of the area of the boundary portion to the entire area is quantified as the crack ratio data 22, and the degree of tire deterioration is evaluated by the magnitude of this value. Therefore, for example, in the case where the crack has a large width, it may be considered that the evaluation performed by the extraction of the boundary portion of the crack has nothing to do with the evaluation of the entire crack. However, in the case of large cracks, it is no longer a stage for evaluating degradation, but it is necessary to discard the tire and replace it with a new tire as soon as possible. In this case, because it can be easily judged visually, it can be regarded as this The out-of-target processing performed by the evaluation of the present invention is completely inappropriate for the use of the present invention.

Furthermore, the deterioration evaluation unit 13 reads the evaluation threshold data 23 stored in the evaluation database 7 in advance, evaluates the crack ratio data 22 obtained in the deterioration evaluation unit 13 to generate evaluation level data 24, and stores it in the evaluation database 7 . Specifically, the evaluation threshold value data 23 includes the threshold value for the crack ratio data 22 predetermined to a desired level, and the crack ratio data 22 is evaluated by comparing the threshold value and the crack ratio data 22 and grading. The procedure for calculating the crack ratio data 22 by the deterioration evaluation unit 13 and the procedure for evaluating the crack ratio data 22 by the evaluation threshold data 23 in steps are steps S8. The grades given by the deterioration evaluation unit 13 can distinguish the tires into grades according to the deterioration state of the tires, and exert an effect that is easy to understand as an index. Therefore, for example, the approximate standard use value as the price in the used market of the used tires or the approximate standard use value as the tire replacement becomes high, and the safety or economy of the used tires can be improved. By increasing or decreasing the interval between the individual threshold values in the evaluation threshold value data 23, the level can be changed to the desired level substantially or in detail, so it is possible to assign the level according to the use. In addition, the rank may be any of alphabets such as A, B, A or B, Chinese characters such as appropriate or not, and numbers such as 1, 2 or the like.

The output unit 2 outputs any data obtained as a result of each processing content executed by each unit included in the processing unit 3 alone or in combination as output data 25, or reads data from each database as output data 25 Output to the outside, this program is the output program of step S9. As a specific example of the output unit 2, a display device using CRT (Cathode Ray Tube), liquid crystal, plasma (plasma), organic EL (organic electroluminescence), or the like may be considered, or An output device such as a printer device may be considered as a transmission device such as a transmitter for transmitting to an external device. Of course, it is also possible to use an interface component for output to an external device. The processing database 6 stores readable distance data 14, ground plane image data 15, groove width data 16, groove depth data 17, groove number data 18, evaluation area image data 19, and smoothing A database of processed image data 20, edge processed image data 21, and crack ratio data 22. The evaluation database 7 is a database that readablely stores the evaluation threshold data 23 used in the tire degradation evaluation performed by the degradation evaluation unit 13 and the evaluation level data 24 after evaluation. As described above, according to the tire deterioration evaluation system 1 related to the embodiment, the mountain portion and the groove portion 26 of the tire's contact surface can be discriminated, and the groove portion that is not affected by the wear caused by the use of the tire can be measured with high accuracy A crack or crack in 26. Therefore, it is possible to measure only cracks or cracks caused by the effects of deterioration over time, and quantitative degradation evaluation can be performed with high accuracy. Furthermore, the rank evaluation system can be performed by the deterioration evaluation unit 13 as already described. In addition, although the invention is mastered by the system in the form of this embodiment, the program for processing data using the system can also be mastered as a method invention or a program invention for executing a computer, and its function or effect is the same as the system invention already described.

Next, the degradation evaluation unit 13 of the tire degradation evaluation system 1 related to the embodiment of the present embodiment was used to test how the used tires were graded using the trial operation system, so the results will be added while referring to FIGS. 4-6 . 4(a)-(e) are conceptual diagrams of image data of evaluation areas of tires of S, A, B, C, and D grades used to evaluate tire deterioration evaluation systems related to the first embodiment, respectively. . The grade SD of the image shown in FIG. 4 is the state of the crack in the groove portion 26 of the ground contact surface of the used medieval tire specified by the applicant as an example. The tires of each grade shown in FIG. Evaluate and rank. For the tires of the respective grades shown above, the crack ratio data 22 obtained using the trial system is shown in FIG. 5 and the graph thereof is shown in FIG. 6. The numbers described below each level of FIG. 5 and the numbers shown on the vertical axis of FIG. 6 represent crack ratio data 22 in percentage (%). The number shown below the graph of FIG. 6 is the same as the number indicating the measurement position described at the left end of FIG. 5. In the present embodiment, a Gaussian filter is used for smoothing processing in the smoothing processing unit 11, and a Kanni method is used for edge detection processing in the edge detection processing unit 12. The processing of the video boundary shown in FIG. 3(d) is the same. As shown in FIG. 5, although the number of measurements at each level S-D is different, this point is not particularly purposeful. The central value is the central value in the measured value group of each level, and the average value is also the average value in the measured value group of each level. In addition, the solid line shown in FIG. 6 is the central value connecting the measured value groups in each level, and the broken line is the linear value expressed by the linear equation of the central value of the measured value group in each level.

The following results are obtained from FIG. 5: The average crack ratio of grade S is 0.479126. Although the average crack ratio of grade A is higher than 0.292188, the crack ratio of grade A to grade D gradually increases. The reason for the high proportion of cracks in class S can be considered as the fact that there were almost no cracks in class S and class A, and the degree of tire degradation is almost the same. Therefore, if a small amount of noise is added, the cracks are further detected, and the result The evaluation of the progress of degradation is carried out. Although grade A is a result of small degradation, since the crack ratio data 22 of grades S and A are each smaller than 0.5%, it can be said that it is actually poor. From the results shown in FIG. 5 and FIG. 6, the inventors found that the crack ratio data 22 obtained using the tire deterioration evaluation system 1 is correlated with the grade of the tire selected by the expert, and obtained by obtaining the tire deterioration evaluation system 1 The crack ratio data 22 can be distinguished into the grade SD of the tire selected by the expert.

In addition to FIGS. 5 and 6, the correspondence of the assigned levels when the crack ratio data 22 is used as the deterioration evaluation value is shown in FIG. 7, and the correspondence of the assigned levels is obtained by analyzing the results including other test results. Therefore, FIG. 7 shows the contents of the evaluation threshold data 23. It is apparent from FIG. 7 that in the tire deterioration evaluation system 1 related to the form of this embodiment, the value of the crack ratio data 22 evaluates the case of 0.5 or less as the S rank, and the case of greater than 0.5 or less than 2.0 as the A rank The evaluation is carried out and evaluated as B to D grades in the same manner below. As described above, the degradation evaluation unit 13 and the crack ratio data 22 are read out from the processing database 6, and it is judged that any one of the wide degradation evaluation values corresponding to the evaluation threshold data 23 shown in FIG. 7 read out from the evaluation database 7, The corresponding rank is generated as evaluation rank data 24 and stored in the evaluation database 7 readable.

In addition, the measurement of the tire ground contact surface by the tire deterioration evaluation system 1 is preferably carried out in plural places in the tire circumferential direction. FIGS. 8(a)-(c) show examples of measurement conditions of the tire deterioration evaluation system 1, respectively showing the case where the measurement is carried out every 90° and 4 measurements, and the case where the measurement is carried out every 45° and 8 measurements are carried out , The measurement is performed every 30° and 12 measurements are performed. In the portable tire deterioration evaluation system 1, it is also assumed that the measurer carries out the measurement in hand, so there is a possibility that it is difficult to measure at the correct angular interval as shown in FIG. 8, but it is not necessary to perform at equal intervals, as long as one tire The accuracy can be improved by measuring plural times. Of course, it can also be regarded as a system such as the displacement scanning measurement unit 4 or the imaging unit 5 of the fixed tire deterioration evaluation system 1, which automatically rotates the tire itself at about a certain angle to obtain distance data 14 or ground plane image data 15.

Using the tire deterioration evaluation system 1 described above, the results of evaluating the actual used tires will be described with reference to FIG. 9. FIG. 9 is a table showing that the tire degradation evaluation system 1 is used to measure the eight points at 45° shown in FIG. 8( b) for a used tire, and the results are summarized. In FIG. 9, shot refers to a unit that means that the distance data 14 and the ground contact surface image data 15 have been acquired. As described above, 1-8 at the measurement point means that the position is selected every 45° along the circumferential direction of the used tire. The position is displayed based on the distance (mm) from the inside of the tire as the position of the groove portion 26 to be measured. The size is displayed by making the groove width (mm) 10 times, and the depth is made by the groove depth (mm). Displayed 10 times. In addition, it was found that the number of grooves in any of the eight measurement sites was three. From the above, the size corresponds to the groove width data 16 in the system diagram of FIG. 1, the depth corresponds to the groove depth data 17 in the same depth, and the groove number 3 corresponds to the groove part number data 18. In addition, in the column of the deterioration evaluation value in FIG. 9, the crack ratio data 22 in each groove is expressed as a percentage (%). The central value of the crack ratio data 22 in these 8 places is 2.379115 as described in the lower right column of the table, so the degradation evaluation unit 13 of the tire degradation evaluation system 1 reads the evaluation data shown in FIG. 7 from the evaluation database 7 The limit value data 23 is evaluated using the evaluation threshold value data 23 with the tire class as B, and is displayed in the lower right column of FIG. 9. The tire grade is stored in the evaluation database 7 as readable evaluation data 24.

Finally, a description will be given of an output example from the output unit 2 of the tire deterioration evaluation system 1 while referring to FIG. 10. FIGS. 10( a) and (b) are conceptual diagrams showing examples of the evaluation results displayed by the output unit 2. The image shown in FIG. 10(a) shows the ground plane image data 15 on the left and the evaluation result on the right. [B565] indicated by the symbol B means that [B] is evaluation grade data 24 and [565] is a ditch The inner side of the tire with a number of 3 pitches represents 5 mm, 6 mm, and 5 mm as groove depth data 17. In addition, those indicated by the symbol C are graphs showing the tendency of the groove depth data 17 of 5 mm, 6 mm, and 5 mm, which is also the inside of the tire to the left. In addition, the set of plot points indicated by the symbol D expresses the deterioration evaluation value (crack ratio data 22) shown in FIG. 9 in %. Since the groove depth data is displayed at the same time as the groove number, it is possible to obtain specific information about the structure of the tire groove that the user of the system becomes the evaluation target, and the image can be compared while displaying the ground plane image data 15 together With the measured value or evaluation level, the state of the groove is observed, so that the deterioration of the tire can be easily evaluated by visual inspection, and the validity of the evaluation result obtained by the system can be confirmed. By displaying the groove depth data 17 of each tire groove according to the arrangement of the tire grooves, it is possible to grasp the state of uneven wear caused by the riding mode of the tire user's car or the degree of air pressure.

Secondly, the image shown in FIG. 10(b) is different from that displayed in the display window of (a), the symbol E on the left is the groove width data 16 in mm, and the symbol F is The groove depth data 17 in units of mm is shown, and the distance data 14 showing the state of tracking the entire tire in the width direction is shown from the center to the right. In the distance data 14, the symbol G in the figure represents the distance in the tire width direction from the inner end of the tire in mm, and the symbol H represents the normal direction to the outer circumference of the tire in mm, that is, the valley of the tire The distance in the direction of height and groove depth. The information shown in (b) also shows that the groove state of the tire surface can be confirmed over the entire width direction of the tire, which is complementary to the evaluation result, and the deterioration state of the tire can be grasped with higher accuracy. In the tire deterioration evaluation system 1 related to the form of the present embodiment, since the screens of both (a) and (b) are displayed as the output unit 2, the following system can be provided: the amount of information provided to the user There are also many, which can reduce the risk of misrecognition or misunderstanding, and can prevent human errors. In addition, although the data shown in FIGS. 10(a) and (b) is intended to be displayed in the form of this embodiment, it is suitable to read out other data stored in the processing database 6 or the evaluation database 7 and perform it with the output unit 2 Display or transmission is also possible. In addition, in the embodiment of this embodiment, the arrangement of the tire grooves is displayed so that the left side corresponds to the inner side of the tire grooves, but the order may be reversed, and may be changed according to convenience during use or design.

As described above, the inventions described in claim 1 to claim 9 of the present invention can quantitatively perform the deterioration evaluation of used tires, and everyone can use it for the repair and maintenance of the tires of their own cars, or can be used by taxi companies or bus companies. It can also be widely used in the maintenance of the company's business vehicles, or it can be widely used in the maintenance or inspection of customer cars by car dealers or private car factories, or the evaluation of tire values by medieval car dealers.

1‧‧‧Tire degradation evaluation system 2‧‧‧Output unit 3‧‧‧Processing unit 4‧‧‧Displacement scanning measurement unit 5‧‧‧Photography department 6‧‧‧Processing database 7‧‧‧Evaluation database 8‧ ‧‧Groove width computing unit 9‧‧‧Groove depth computing unit 10‧‧‧Evaluation area extraction unit 11‧‧‧Smoothing processing unit 12‧‧‧Edge detection processing unit 13‧‧‧Degradation evaluation unit 14‧‧‧Distance Data 15‧‧‧Ground surface image data 16‧‧‧Groove width data 17‧‧‧Groove depth data 18‧‧‧Groove number data 19‧‧‧Evaluation area image data 20‧‧‧Smoothing processing image data 21‧‧ ‧Edge processing image data 22‧‧‧Crack ratio data 23‧‧‧ Evaluation threshold data 24‧‧‧ Evaluation grade data 25‧‧‧ Output data 26‧‧‧Groove A‧‧‧Evaluation area B‧‧‧Quality Evaluation value C‧‧‧Groove depth display D‧‧‧Crack width E‧‧‧Groove width value E‧‧‧Groove depth value G‧‧‧Tire width scale H‧‧‧Groove depth direction

FIG. 1 is a block diagram of a tire deterioration evaluation system related to the first embodiment of the present invention. 2 is a flowchart of tire deterioration evaluation performed by the tire deterioration evaluation system related to the first embodiment of the present invention. FIG. 3 (a) is a conceptual diagram of tire contact surface image data obtained by the photographing section of the tire deterioration evaluation system according to the first embodiment of the present invention, (b) is the black of symbol A in (a) The conceptual diagram of the image data of the evaluation area shown in the box, (c) is the conceptual image of the image data of the case where the image data of the evaluation area of (b) is subjected to monochrome binarization processing, (d) is (b) ) Is a conceptual diagram of the edge-processed image data in the case where the edge-processed image data is subjected to edge processing. FIG. 4 (a) is a conceptual diagram of evaluation area image data for evaluating S-class tires used in the tire deterioration evaluation system related to the first embodiment of the present invention, and (b) is the same for A-class tires. Concept image of the evaluation area image data, (c) is the concept image of the evaluation area image data of the same class B tire, (d) is the concept image of the evaluation area image data of the same class C tire, (e) is the same D Concept map of the image data of the evaluation area of grade tires. FIG. 5 is a table showing the results of measuring the crack ratios of the tires of S, A, B, C, and D grades used in the tire deterioration evaluation system according to the first embodiment of the present invention. Fig. 6 is a graph showing the measurement results of Fig. 5. FIG. 7 is a diagram showing the correspondence of the classification when the crack ratio data is used as the degradation evaluation value, that is, the graph showing the evaluation threshold value data. FIGS. 8( a )-( c) are conceptual diagrams showing examples of where to obtain contact surface image data of the tire deterioration evaluation system according to the first embodiment of the present invention. 9 is a table showing the results of evaluating used tires using the tire deterioration evaluation system related to the first embodiment of the present invention. 10(a) and (b) are conceptual diagrams showing examples of evaluation results displayed by the output unit of the tire deterioration evaluation system according to the first embodiment of the present invention.

1‧‧‧ Tire degradation evaluation system

2‧‧‧Output

3‧‧‧ Processing Department

4‧‧‧Displacement Scanning and Measuring Department

5‧‧‧Photography Department

6‧‧‧Process database

7‧‧‧ Evaluation database

8‧‧‧Ditch width calculation section

9‧‧‧Ditch depth calculation department

10‧‧‧ Evaluation area extraction department

11‧‧‧Smoothing Department

12‧‧‧Edge Detection Processing Department

13‧‧‧Degradation Evaluation Department

14‧‧‧Distance data

15‧‧‧ Ground plane image data

16‧‧‧Ditch width data

17‧‧‧Ditch depth data

18‧‧‧ Ditch data

19‧‧‧ Evaluation of regional image data

20‧‧‧Smooth image data

21‧‧‧Edge processing image data

22‧‧‧ Crack data

23‧‧‧ Evaluation threshold data

24‧‧‧ Rating data

25‧‧‧ output data

Claims (9)

A tire deterioration evaluation system, characterized by having: a displacement measuring unit that measures displacement of a tire's ground contact surface and generates distance data that makes the mountain portion and groove portion of the ground contact surface possible; and photographs the ground contact surface and generates a ground contact surface image The photography department of the data; the distance data is referenced from the ground plane image data and the evaluation area for detecting cracks is extracted from the area of the groove in the ground plane and the evaluation area extraction unit that generates the evaluation area image data; the evaluation area The image data is smoothed and a smoothing processing section that generates noise-free smoothing image data is generated; the smoothing processing image data is edge-processed and an edge processing image data edge that clarifies the boundary of the crack is generated A detection processing unit; a degradation evaluation unit that calculates the ratio of the entire boundary portion of the cracks of the edge-processed image data and generates crack ratio data; and an output unit that outputs the crack ratio data. A tire deterioration evaluation system as claimed in item 1 of the patent scope, wherein the deterioration evaluation section evaluates the ratio using evaluation threshold data predetermined for evaluating deterioration and generates evaluation grade data, and the output section outputs the evaluation grade data. A tire deterioration evaluation system as claimed in item 1 or item 2 of the patent application, wherein the displacement measuring section includes: a groove width calculation that calculates the width of the groove portion of the tire's ground contact surface from the distance data and generates groove width data A groove depth computing part that calculates the depth of the groove part and generates groove depth data from the distance data; generates groove part number data about the number of the groove parts, and the output part outputs the groove width data, the groove depth data, or the groove part number At least any one of the data. For example, in the tire degradation evaluation system of claim 1 or 2, the output unit simultaneously outputs the data generated in the degradation evaluation unit, and the ground plane image data generated in the photography unit or extracted in the evaluation area Video data of the evaluation area extracted by the Department. A tire deterioration evaluation method, characterized by: measuring the displacement of the tire's ground contact surface and generating a displacement measurement program that makes the distance between the mountain portion and the groove portion of the ground contact surface possible; and shooting the ground contact surface and generating a ground contact image The photographic program of the data; the reference area data from the ground plane image data refers to the distance data and the evaluation area extraction program for extracting the evaluation area for detecting cracks from the groove area in the ground plane and generating the evaluation area image data; Smoothing the image data and generating a smoothing processing program that removes the smoothed image data for noise removal; performing edge processing on the smoothed image data and generating edge processing image data that clarifies the boundary of the crack A detection processing program; an operation for calculating the ratio of the entire boundary portion of the crack of the edge-processed image data to generate a crack ratio data degradation evaluation program; and an output program for outputting the crack ratio data. A tire deterioration evaluation method as claimed in item 5 of the patent application, wherein the deterioration evaluation program evaluates the ratio using evaluation threshold data predetermined for evaluating deterioration and generates evaluation grade data, and the output program outputs the evaluation grade data. A tire deterioration evaluation method as claimed in item 5 or 6 of the patent application, wherein the displacement measurement program includes: a groove width calculation that calculates the width of the groove portion of the tire's ground contact surface from the distance data and generates groove width data Program; calculating the depth of the groove from the distance data and generating a groove depth calculation program for the groove depth data; generating groove number data about the number of the grooves, the output program outputs the groove width data, the groove depth data, or the number of grooves At least any one of the data. For example, the tire degradation evaluation method of claim 5 or 6, wherein the output program simultaneously outputs the data generated in the degradation evaluation program, and the ground plane image data generated in the photography program or extracted in the evaluation area Image data of the evaluation area extracted by the program. A tire degradation evaluation program is a program that is executed for tire degradation evaluation. It is characterized by the following program executed by a computer: measuring the displacement of the tire's ground contact surface and generating the discrimination of the mountain portion and the groove portion of the ground contact surface Displacement measurement program of distance data; photographic program for shooting the ground plane and generating ground plane image data; referring to the distance data from the ground plane image data and extracting from the area of the groove in the ground plane to detect cracks Region and generate an evaluation area extraction program that evaluates the image data of the area; performs a smoothing process on the image data of the evaluation area and generates a smoothing process program that removes the noise of the smoothed image data; performs an edge on the smoothed image data Process and generate an edge detection processing program for the edge-processed image data that clarifies the boundary of the crack; calculate the ratio of the entire boundary portion of the crack in the edge-processed image data and generate a degradation evaluation program for the crack ratio data; And an output program that outputs the crack ratio data.

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