JP6536230B2 - Tire shape analysis device, tire shape analysis method - Google Patents

Description

  The present invention relates to a tire shape analysis device and a tire shape analysis method.

  There is a method of measuring a three-dimensional shape of a tire by capturing an image of a pattern attached to the surface of a tire and analyzing an image including the pattern. Patent Document 1 discloses a technique in which a lattice pattern is attached to the surface of a tire, an image obtained by photographing each from different places is analyzed to obtain the position of each point on the lattice surface, and the shape of the tire is measured. It is disclosed.

Japanese Patent Application Laid-Open No. 10-38533

  In patent document 1, when analyzing an image, the whole area | region containing a pattern pattern is made into the unit of analysis. For this reason, there is a cut such as sipes in the area including the pattern pattern, and there is also a cut in the pasted pattern. If analysis is performed with reference to information on peripheral pixels across the break, the accuracy of the analysis may be reduced due to the influence of the break. In such a case, good analysis results can not be obtained.

  The present invention has been made in view of the above, and its object is to provide a tire shape analysis apparatus and a tire shape analysis method capable of obtaining good analysis results even if there is a cut such as sipes in a region including a pattern pattern. To provide.

  In order to solve the problems described above and to achieve the object, a tire shape analysis device according to an aspect of the present invention is an area of the pattern based on a photographed image obtained by photographing an area including the pattern formed on the tire surface. A division line generation unit that generates a division line that is an inner line; and a pattern area division unit that divides the area of the pattern of the captured image based on the division lines generated by the division line generation unit; And an analysis unit that analyzes each of the regions of the pattern pattern divided by the pattern region dividing unit and synthesizes an analysis result, and the dividing line generation unit follows the break if the pattern includes a break. Dividing lines are generated, and if the pattern does not include cuts, one or more dividing lines are generated. By dividing and analyzing the pattern area, and combining the analysis results, good analysis results can be obtained even if there is a break such as sipes in the area including the pattern.

  It is preferable that the parting line generation unit generates parting lines along the groove for the cut of the pattern corresponding to the groove formed on the tire surface and having open ends. By dividing the area in this manner, good analysis results can be obtained.

  The image processing apparatus further includes a boundary line extraction unit that extracts a boundary between a tire surface included in the captured image and a cut of the pattern or a joint between the pattern and the pattern as a boundary line, and the dividing line generation unit Preferably, a line passing through at least one point on the boundary line extracted by the step is generated as the dividing line. By dividing the area in this manner, good analysis results can be obtained.

  The pattern-pattern area dividing unit is a common analysis area in which the same pattern pattern is included in at least two of all the images of the divided area except in a case where seams between the pattern patterns are generated as the dividing line. It is preferable that the area of the pattern pattern is divided by adding the above in the vicinity of the dividing line, and the analysis unit analyzes the area of the pattern pattern to which the common analysis area is added, and synthesizes the analysis result. . By dividing the area in this manner, good analysis results can be obtained.

  It is preferable that the cut of the pattern corresponding to the groove formed on the tire surface and open at both ends be divided along the cut without adding the common analysis region. By dividing the area in this manner, good analysis results can be obtained.

  The tire shape analysis method according to an aspect of the present invention includes the steps of: determining whether a pattern includes a cut based on a captured image obtained by capturing an area including a pattern formed on the surface of the tire; When it is determined that the dividing line is a line in the area of the pattern pattern along the break, and when it is determined that the pattern does not include the break, one or more dividing lines are generated. Step of dividing the pattern pattern area of the photographed image based on the generated dividing line, analyzing the divided pattern pattern areas, and combining analysis results . By dividing and analyzing the pattern area, and combining the analysis results, good analysis results can be obtained even if there is a break such as sipes in the area including the pattern.

  According to the tire shape analysis device and the tire shape analysis method, in one of the embodiments, good analysis results can be obtained even if there are cuts such as sipes in the area including the pattern pattern.

FIG. 1 is a flowchart showing a tire shape analysis method according to a first embodiment of the present invention. FIG. 2 is a flowchart showing an example of analysis processing. FIG. 3 is a block diagram showing an example of the function of the tire shape analysis device according to the first embodiment. FIG. 4 is a view showing an example of a photographed image obtained by photographing a tire on which a pattern pattern is formed. FIG. 5A is a diagram for explaining an example of boundary line extraction. FIG. 5B is a diagram for explaining generation of parting lines. FIG. 5C is a diagram showing an example of an image divided along a dividing line. FIG. 5D is a diagram showing an example of an image divided along a dividing line. FIG. 5E is a diagram showing an example of an image divided along a dividing line. FIG. 6A is a diagram showing an example in which the analysis processing results are combined after analysis processing is performed on each of the regions divided along the dividing line. FIG. 6B is a diagram showing the definition of the displacement of the tire surface. FIG. 6C is a diagram showing displacement in the tire width direction in the case where the region is divided and the analysis processing is performed and in the case where the analysis processing is integrally performed on the region without being divided. FIG. 7 is a diagram for explaining another example of generation of dividing lines. FIG. 8A is a diagram showing an example of an image divided along the dividing line shown in FIG. 7. FIG. 8B is a diagram showing an example of an image divided along the dividing line shown in FIG. 7. FIG. 8C is a diagram showing an example of an image divided along the dividing line shown in FIG. 7. FIG. 8D is a diagram showing an example of an image divided along the dividing line shown in FIG. 7. FIG. 9 is a diagram for explaining another example of generation of dividing lines. FIG. 10A is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 10B is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 10C is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 10D is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 10E is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 10F is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 11 is a diagram for explaining another example of generation of dividing lines. FIG. 12A is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 12B is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 13 is a diagram for explaining another example of generation of dividing lines. FIG. 14A is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 14B is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 14C is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 15 is a diagram for explaining another example of generation of dividing lines. FIG. 16A is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 16B is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 16C is a diagram showing an example of an image divided along the dividing line shown in FIG. FIG. 17 is a view for explaining an example of generation of parting lines in the case where there is no break in the tire surface. FIG. 18A is a diagram for explaining the process of dividing an image along the generated dividing line. FIG. 18B is a view for explaining the process of dividing an image along the generated dividing line. FIG. 18C is a diagram for explaining the process of dividing an image along the generated dividing line. FIG. 19 is a diagram for explaining generation of parting lines in the second embodiment. FIG. 20A is a diagram for explaining the process of dividing an image along the generated dividing line. FIG. 20B is a view for explaining the process of dividing an image along the generated dividing line. FIG. 20C is a diagram for explaining the process of dividing an image along the generated dividing line. FIG. 21A is a diagram for explaining a region to be a common analysis region in phase analysis by the Fourier transform method. FIG. 21B is a diagram for explaining a region to be a common analysis region in phase analysis by the Fourier transform method. FIG. 21C is a diagram for explaining a region to be a common analysis region in phase analysis by the Fourier transform method. FIG. 22A is a diagram for explaining a region to be a common analysis region in phase analysis by the Fourier transform method. FIG. 22B is a diagram for explaining a region to be a common analysis region in phase analysis by the Fourier transform method. FIG. 22C is a diagram for explaining a region to be a common analysis region in phase analysis by the Fourier transform method. FIG. 23A is a diagram showing an example of processing in the case of generating a dividing line for a region having sipes which are both ends penetrated into the main groove, that is, both-side open sipes. FIG. 23B is a diagram showing an example of processing in the case of generating a dividing line for a region having sipes which are both ends penetrated into the main groove, that is, both-side open sipes. FIG. 23C is a diagram showing an example of processing in the case of generating a dividing line for a region having sipes which are both ends penetrated into the main groove, that is, both-side open sipes. FIG. 23D is a diagram showing an example of processing in the case of generating a dividing line for a region having sipes which are both ends penetrated into the main groove, that is, both-side open sipes. FIG. 24A is a diagram illustrating an example of processing when a dividing line is generated for a region having sipes other than double-sided open sipes. FIG. 24B is a diagram showing an example of processing in the case of generating parting lines for regions having sipes other than double-sided open sipes. FIG. 24C is a diagram showing an example of processing in the case of generating a dividing line for a region having sipes other than double-sided open sipes. FIG. 24D is a diagram showing an example of processing in the case of generating parting lines for regions having sipes other than double-sided open sipes. FIG. 24E is a diagram showing an example of processing in the case of generating parting lines for regions having sipes other than double-sided open sipes. FIG. 24F is a diagram showing an example of processing in the case of generating parting lines for regions having sipes other than double-sided open sipes. FIG. 25 is a diagram showing an example of a tire analysis system adopting a tire shape analysis method. FIG. 26 is a block diagram showing the function of the tire measurement device of the tire analysis system shown in FIG. FIG. 27 is a block diagram of a tire analysis system adopting another tire shape analysis method.

  Hereinafter, the present invention will be described in detail with reference to the drawings. The present invention is not limited by the embodiment. Further, constituent elements of this embodiment include substitutable and substitutable ones while maintaining the identity of the invention. In addition, a plurality of modifications described in this embodiment can be arbitrarily combined within the scope apparent to those skilled in the art.

First Embodiment
FIG. 1 is a flowchart showing a tire shape analysis method according to a first embodiment of the present invention. As shown in FIG. 1, in the tire shape analysis method according to the first embodiment, first, the tire is set at a predetermined position (step S1). Next, a pattern pattern is formed on the surface of the tire (step S2). An area including the formed pattern is photographed (step S3). An analysis process is performed to analyze the captured image (step S4).

  FIG. 2 is a flow chart showing an example of analysis processing in step S4 of FIG. As shown in FIG. 2, in the analysis processing, first, it is determined whether or not there is a break in the area of the pattern in the image (step S41). As a result of the determination in step S41, when it is determined that the pattern includes a break (Yes in step S41), a boundary along the break is extracted (step S42). Then, a dividing line passing through the extracted boundary line is generated (step S43).

  Next, the area of the pattern is divided based on the generated dividing line (step S44). Then, analysis is performed on each of the divided areas (step S45). The analysis is performed by a shape analysis method such as Fourier transform, sampling moire method, digital image correlation method or the like. The analysis results for each area are synthesized (step S46).

  When it is determined that the pattern does not include the break as a result of the determination in step S41 (No in step S41), at least one dividing line is generated (step S47). Then, the area of the pattern is divided based on the generated dividing line (step S44). Thereafter, in the same manner as described above, analysis is performed on each of the divided areas (step S45), and analysis results on each area are synthesized (step S46).

(Analysis of image)
FIG. 3 is a block diagram showing an example of the function of the tire shape analysis device according to the first embodiment. As shown in FIG. 3, the tire shape analysis device 4 according to the first embodiment includes a cut determination unit 40, a boundary extraction unit 41, a parting line generation unit 42, a pattern region division unit 43, and an analysis unit. And 44. The break determination unit 40 determines whether or not the pattern pattern includes a break based on a captured image obtained by capturing an area including the pattern pattern. The boundary line extraction unit 41 extracts the boundary line along the cut of the pattern pattern in the photographed image obtained by photographing the area including the pattern pattern formed on the tire surface. The dividing line generation unit 42 generates a dividing line which passes through one point on the boundary and which is a line in the pattern pattern area. Note that the dividing line may be generated along a break included in the captured image and having a predetermined length or more.

  The pattern pattern area dividing unit 43 divides the area of the pattern pattern of the photographed image based on the dividing line generated by the dividing line generation unit 42. Note that an operation unit for inputting a dividing line may be added, and the area of the pattern pattern of the captured image may be divided based on the dividing line input by the operation of the operation unit.

  The analysis unit 44 analyzes each of the areas of the pattern divided by the pattern area dividing unit 43, and combines the analysis results. The analysis of the image by the analysis unit 44 is performed by a Fourier transform method which is a shape analysis method, a sampling moire method, a digital image correlation method or the like. A three-dimensional shape to be compared with the displacement reference is determined using these analysis methods, and a displacement contour map of the tire surface is output. The displacement contour map is obtained by the number of divided pattern pattern areas. The analysis results are synthesized by integrating these contour diagrams into one contour diagram. Specifically, the displacement data is read from the result of each analysis of the image of the divided area, and the result of analysis is synthesized by substituting it into the contour map for integration. When combining two contour maps, combine them while aligning the periodic positions of the grid. Note that even if the three-dimensional shape in the image of the divided area is substituted into the integration contour diagram, and the displacement standard and contrast three-dimensional shape are integrated and output in advance, then the displacement contour diagram is obtained. good. Hereinafter, the displacement is calculated by combining the analysis results by the same method.

(Example of processing)
FIG. 4 is a view showing an example of a photographed image obtained by photographing a tire on which a pattern pattern is formed. An image G1 illustrated in FIG. 4 is an image obtained by capturing an area R1 including a pattern pattern. Region R1 includes cuts K1 and K2. The cuts K1 and K2 are, for example, sipes. The sipe is a groove that is closed when the tire is in contact with the ground. In FIG. 4, broken lines H1 and H2 indicate boundaries with the main groove. The main groove is, for example, a groove continuously formed in the circumferential direction.

  FIG. 5A is a diagram for explaining an example of boundary line extraction. FIG. 5A shows an image taken of an area having a sipe with one end passing through the main groove and the other end not passing through the main groove. In this example, as shown in FIG. 5A, the cuts K1 and K2 exist. Therefore, the process proceeds to step S42 according to the determination of step S41 in FIG. 2, and the process of extracting the boundary line of step S42 is performed. In the process of extracting the boundary line, the boundary line extraction unit 41 extracts the boundary lines KY1 and KY2 along the cuts K1 and K2. Image processing can be used to extract the boundary lines KY1 and KY2. For example, with regard to simple cuts by sipes or the like, it is possible to extract boundaries by binarizing the captured image and extracting edges. In addition, a plurality of markers may be set visually and the boundaries may be generated by connecting the markers with straight lines. By visually setting markers, boundaries can be extracted for blocks of any shape or specification. Here, the boundary line KY1 includes a point PT1. The boundary line KY2 also includes a point PT2.

  FIG. 5B is a diagram for explaining generation of parting lines. The dividing line is a line in the area of the pattern.

  As shown in FIG. 5B, the dividing line generation unit 42 generates two dividing lines D1 and D2 in this example. The dividing line D1 is a line passing through the point PT1. The dividing line D2 is a line passing through the point PT2. The region R1 is divided into three regions R11, R12, and R13 by the two dividing lines D1 and D2. The dividing lines D1 and D2 are not limited to straight lines, and may be curves or broken lines. The same applies to the following description.

  FIG. 5C to FIG. 5E are diagrams showing examples of images divided along dividing lines. The process of dividing along the dividing line is a process of dividing the area so as to leave the area surrounded by at least one of the area outside the pattern and the break and the dividing line.

  An image G2A shown in FIG. 5C includes a region R11. The image G2A is obtained by erasing the portion of the pattern other than the region R11 in FIG. 5B. The portion of the pattern other than the region R11 can be erased, for example, by setting it to black which is the color of the tire or a luminance value close thereto, and filling the portion other than the region R11.

  An image G2B shown in FIG. 5D includes a region R12. As in the case of the image G2A, the image G2B is obtained by deleting the portion of the pattern other than the region R12 in FIG. 5B. An image G2C shown in FIG. 5E includes a region R13. As in the case of the image G2A, the image G2C is obtained by deleting the portion of the pattern other than the region R13 in FIG. 5B.

  An area R11 of the image G2A, an area R12 of the image G2B, and an area R13 of the image G2C shown in FIG. 5C to FIG. 5E are used as a unit of analysis processing. As described above, the analysis unit 44 performs analysis processing on the regions R11, R12, and R13 divided along the dividing line, and combines the processing results. FIG. 6A is a diagram showing an example in which analysis processing results are combined after analysis processing is performed on each of the regions R11, R12, and R13 divided along the dividing line. As shown in FIG. 6A, analysis results of the displacement of the tire surface are obtained.

  FIG. 6B is a diagram showing the definition of the displacement of the tire surface. As shown in FIG. 6B, the direction from top to bottom of the region R1 included in the image G1 is displacement in the tire width direction, the direction from left to right is displacement in the tire circumferential direction, and the direction from the back to the front is tire It is displacement in the radial direction. As shown in FIG. 6B, sipes K1 and K2 are present in the region R1. Both of the cuts K1 and K2 are sipes having one end penetrating the main groove and the other end closed without penetrating the main groove. Here, if analysis processing is performed on a line L1 passing near the other closed end of the cut K2 in the region R1, calculation is performed to fetch discontinuous data by the cut K2, and the result of the analysis processing is that of the cut K2 to be influenced.

  On the other hand, as described with reference to FIGS. 5A to 5E, analysis processing is performed on each of the regions R11, R12, and R13 obtained by dividing the region R1 along the dividing line, and analysis results are synthesized. The result of the process is not affected by the break K2.

  FIG. 6C is a diagram showing an analysis result of displacement in the tire width direction in the line L1 in the case where the region R1 is divided and the analysis processing is performed and in the case where the analysis processing is integrally performed for the region R1 without division. is there. FIG. 6C shows the displacement [mm] in the tire width direction with respect to the period position [°] of the pattern pattern lattice. When the analysis processing is integrally performed on the region R1 without division, as shown by a broken line C1 in FIG. 6C, a sudden change appears in the displacement in the tire width direction, and it is understood that the accuracy of the analysis decreases. On the other hand, when the analysis processing is performed by dividing the region R1 and the analysis results are combined, as shown by the solid line in FIG. Can be maintained. Therefore, analysis processing is performed on each of the regions R11, R12, and R13 obtained by dividing the region R1, and the analysis results are not affected. Therefore, good analysis results are obtained as shown in FIG. 6A. Be

  FIG. 7 is a diagram for explaining another example of generation of dividing lines. FIG. 7 shows an image taken of an area having a sipe whose both ends penetrate the main groove. In this example, as shown in FIG. 7, since there is a break due to sipes, the process proceeds to step S42 according to the determination of step S41 of FIG. 2, and the process of extracting the boundary line of step S42 is performed. In the process of extracting the boundary line, the boundary line extraction unit 41 extracts a boundary line (not shown) by the same process as the process described with reference to FIG. 5A. Thereafter, as illustrated in FIG. 7, the dividing line generation unit 42 generates the dividing line D3 passing through the point PT3, the dividing line D4 passing through the point PT4, and the dividing line D5 passing through the point PT5 for the region R2 included in the image G3. Do.

  8A to 8D are diagrams showing examples of images divided along the dividing lines shown in FIG. An image G4A shown in FIG. 8A includes a region R21. An image G4B shown in FIG. 8B includes a region R22. An image G4C shown in FIG. 8C includes a region R23. An image G4D shown in FIG. 8D includes a region R24.

  Since analysis processing is performed on each of the regions R21, R22, R23, and R24 obtained by dividing the region R2 and the analysis results are synthesized, good analysis results can be obtained because they are not affected by the breaks in the regions.

  FIG. 9 is a diagram for explaining another example of generation of dividing lines. FIG. 9 shows an image taken of an area with sipes occluded without penetrating both ends. As shown in FIG. 9, an area R3 is included in the image G5 captured by the capturing unit. In this example, as shown in FIG. 9, since there is a break due to sipes, the process proceeds to step S42 according to the determination of step S41 in FIG. 2, and the process of extracting the boundary line of step S42 is performed. In the process of extracting the boundary line, the boundary line extraction unit 41 extracts a boundary line (not shown) by the same process as the process described with reference to FIG. 5A. Thereafter, as shown in FIG. 9, for the region R3 included in the image G5 by the dividing line generation unit 42, the dividing line D61 passing through the point PT61, the dividing line D62 passing through the point PT62, the dividing line D63 passing through the point PT63, and the point PT64 A dividing line D64 passing through, a dividing line D65 passing through point PT65, a dividing line D66 passing through point PT66, a dividing line D67 passing through point PT67, a dividing line D68 passing through point PT68, a dividing line D69 passing through point PT69, and a division passing through point PT70 Generate line D70. The region R3 is divided into six regions R31, R32, R33, R34, R35, and R36 by these dividing lines D61 to D70.

  10A to 10F are diagrams showing examples of images divided along the dividing lines shown in FIG. An image G6A shown in FIG. 10A includes a region R31. An image G6B shown in FIG. 10B includes a region R32. An image G6C shown in FIG. 10C includes a region R33. An image G6D shown in FIG. 10D includes a region R34. An image G6E shown in FIG. 10E includes a region R35. An image G6F shown in FIG. 10F includes a region R36.

  Since analysis processing is performed on each of the regions R31, R32, R33, R34, R35, and R36 obtained by dividing the region R3 and the analysis results are synthesized, good analysis results can be obtained because they are not affected by the breaks in the regions.

  FIG. 11 is a diagram for explaining another example of generation of dividing lines. FIG. 11 shows, for example, a case where a region having sub grooves is to be analyzed. As shown in FIG. 11, the image G7 captured by the imaging unit includes the region R4. The region R4 shown in FIG. 11 has a sub groove SMZ. In this example, as shown in FIG. 11, since there is a break due to the sub groove SMZ, the process proceeds to step S42 according to the determination of step S41 of FIG. 2, and the process of extracting the boundary line of step S42 is performed.

  In the process of extracting the boundary line, the boundary line extraction unit 41 extracts a boundary line (not shown) by the same process as the process described with reference to FIG. 5A. Thereafter, as illustrated in FIG. 11, the dividing line generation unit 42 generates a dividing line D6 passing through the point PT6 for the region R4 included in the image G7. The dividing line generation unit 42 generates a dividing line D6 by extending a line from the point PT6 along the extending direction of the grid of the image. The region R4 is divided into two regions R41 and R42 by the dividing line D6.

  12A and 12B are diagrams showing examples of images divided along the dividing line D6 shown in FIG. An image G8A shown in FIG. 12A includes a region R41. An image G8B shown in FIG. 12B includes a region R42.

  Since analysis processing is performed on each of the regions R41 and R42 obtained by dividing the region R4 and the analysis results are synthesized, good analysis results can be obtained because they are not affected by the breaks in the regions.

  FIG. 13 is a diagram for explaining another example of generation of dividing lines. FIG. 13 shows, for example, a case where a logo formed by notching a sidewall of a tire is to be analyzed. Region R5 shown in FIG. 13 has logo LG. In this example, the logo LG is "N" in the alphabet. The “N” of the logo LG can be considered to be constituted by the existence of substantially triangular notch-shaped cuts K3 and K4 in a substantially rectangular pattern by a lattice. Since the breaks K3 and K4 exist, in this example, the process proceeds to step S42 according to the determination in step S41 of FIG. 2, and the process of extracting the boundary line of step S42 is performed.

  In the process of extracting the boundary line, the boundary line extraction unit 41 performs the same process as the process described with reference to FIG. 5A, so that the boundary line (not shown) along the cuts K3 and K4. Extract Thereafter, as illustrated in FIG. 13, for the region R5 included in the image G9, the dividing line generation unit 42 extracts the point PT7 included in the boundary extracted along the cut K3 and the boundary extracted along the cut K4. Determine the included point PT8. The points PT7 and PT8 are located at the inner corner of the “N” fold of the logo LG. The point PT7 is a point at the position of the apex angle when the maximum width KM3 of the cut K3 is the base of the triangle. The point PT8 is a point at the position of the apex angle when the maximum width KM4 of the cut K4 is the base of the triangle.

  The dividing line generation unit 42 generates a dividing line D7 passing through the point PT7 and a dividing line D8 passing through the point PT8. In this example, the dividing line generation unit 42 generates a dividing line D7 by extending a line from the point PT7 along the extending direction of the grid of the image. Further, in this example, the parting line generation unit 42 generates a parting line D8 by extending a line from the point PT8 along the extending direction of the grid of the image. The region R5 is divided into three regions R51, R52 and R53 by these dividing lines D7 and D8.

  14A to 14C are diagrams showing examples of images divided along the dividing lines D7 and D8 shown in FIG. An image G10A shown in FIG. 14A includes a region R51. An image G10B shown in FIG. 14B includes a region R52. An image G10C shown in FIG. 14C includes a region R53.

  Since analysis processing is performed on each of the regions R51, R52, and R53 obtained by dividing the region R5 and the analysis results are synthesized, good analysis results can be obtained because they are not affected by the breaks in the regions.

  FIG. 15 is a diagram for explaining another example of generation of dividing lines. As shown in FIG. 15, the image G11 captured by the capturing unit includes a region R6. In this example, as shown in FIG. 15, since there are pattern cuts due to the joint of pattern patterns, the process proceeds to step S42 according to the determination of step S41 in FIG. 2, and the process of extracting the boundary line of step S42 is performed. . In the process of extracting the boundary line, the boundary line extraction unit 41 extracts a boundary line (not shown) by the same process as the process described with reference to FIG. 5A. The boundary line extraction unit 41 extracts a boundary line along a boundary between pattern patterns, that is, when the joint of the pattern is clear. Thereafter, as illustrated in FIG. 15, the dividing line generation unit 42 determines, for the region R6 included in the image G11, a point PT9 and a point PT10 included in the boundary extracted along the joint. The points PT9 and PT10 are points at the end of the seam of the pattern. The dividing line generation unit 42 generates a dividing line D91 passing through the point PT9 and a dividing line D92 passing through the point PT10. In this example, the parting line generation unit 42 generates a parting line D91 by extending the line from the point PT9 along the seam of the pattern. Further, in this example, the dividing line generation unit 42 generates a dividing line D92 by extending a line from the point PT10 along the joint of the pattern. The region R6 is divided into three regions R61, R62 and R63 by the dividing lines D91 and D92. The dividing lines D91 and D92 pass through the seams of the pattern. As in the regions R61, R62, and R63, the dividing lines D91 and D92 may be broken lines when the seams of the pattern are curved.

  16A to 16C show examples of images divided along the dividing lines D91 and D92 shown in FIG. An image G12A shown in FIG. 16A includes a region R61. An image G12B shown in FIG. 16B includes a region R62. An image G12C shown in FIG. 16C includes a region R63.

  Since analysis processing is performed on each of the regions R61, R62, and R63 obtained by dividing the region R6 and the analysis results are synthesized, good analysis results can be obtained because they are not affected by the breaks in the regions.

  FIG. 17 is a view for explaining an example of generation of parting lines in the case where there is no break in the tire surface. As shown in FIG. 17, an area R <b> 7 is included in the image G <b> 13 photographed by the photographing unit. There is no break in the region R7. Therefore, in the present example, the process proceeds to step S47 according to the determination in step S41 of FIG. 2, and the parting line generation unit 42 generates a parting line. That is, when there is no break, the process of extracting the boundary in step S42 is not performed, and the dividing line generation unit 42 generates a dividing line without extracting the boundary.

  18A to 18C are diagrams for explaining the process of dividing an image along the generated dividing line. As shown in FIG. 18A, the parting line generation unit 42 generates a parting line D10 in the region R7. The dividing line generation unit 42 generates a dividing line D10 so that the orientations of the patterns or grids of the respective divided images are aligned. By dividing the region R7 into a region R71 and a region R72 along the dividing line D10, an image G13A of the region R71 shown in FIG. 18B and an image G13B of the region R72 shown in FIG. 18C are obtained. In the region R71 included in the image G13A, the lattice arrangement is aligned in the diagonal direction along the arrow YA. In the region R72 included in the image G13B, the lattice arrangement is aligned in the vertical direction along the arrow YB.

  Therefore, by performing analysis on each of the regions R71 and R72 obtained by dividing the region R7 along the dividing line D10, it is possible to avoid a decrease in analysis accuracy. That is, when the entire image G13 captured without being divided is analyzed, the accuracy of the analysis may decrease. For example, when the analysis is performed by the sampling moire method, even if the image is rotated at a uniform image rotation angle, the lattice portion in the diagonal direction remains, and the accuracy of the analysis on that portion is reduced. In addition, when analysis is performed by the Fourier transform method, the region of the spatial frequency to be extracted becomes wide, and the accuracy of analysis decreases.

  By analyzing each of the regions R71 and R72 obtained by dividing the region R7 and synthesizing the analysis result, a good analysis result can be obtained.

Second Embodiment
In the second embodiment, a common analysis area is added when dividing the area so that discontinuities do not occur in displacement.

  FIG. 19 is a diagram for explaining generation of parting lines in the second embodiment. In the present example, as shown in FIG. 19, the cuts K1 and K2 exist. Therefore, the process proceeds to step S42 according to the determination of step S41 in FIG. 2, and the process of extracting the boundary line of step S42 is performed. In the process of extracting the boundary line, the boundary line extracting unit 41 extracts a boundary line (not shown) by the same process as the process described with reference to FIG. 5A. That is, for the region R1 included in the image G1, the dividing line generation unit 42 generates a dividing line D1 passing through the point PT1 and a dividing line D2 passing through the point PT2.

  Next, when dividing the area of the pattern of the photographed image based on the dividing line, the pattern pattern area dividing unit 43 adds the common analysis portion in the vicinity of the dividing line and divides the area. That is, when dividing the area R1 along the dividing lines D1 and D2, the design pattern area dividing unit 43 provides a common analysis area. The grid is extended on the basis of the dividing line to be a common analysis area.

  20A to 20C are diagrams for explaining the process of dividing an image along the generated dividing line. As shown in FIG. 20A, the common analysis area KR1 is added to the area R11 across the dividing line D2 and divided. Further, as shown in FIG. 20B, the common analysis area KR2 is added to the area R12 with the dividing line D2 in between, and the common analysis area KR3 is added with the dividing line D1 in between. Further, as shown in FIG. 20C, the common analysis area KR4 is added to the area R13 with the parting line D1 interposed therebetween.

(Common analysis area)
The common analysis area is an area in which the same pattern is included in at least two of all the images in the divided area, and a grid necessary to guarantee the analysis accuracy of the displacement obtained on the dividing line It is a pattern area.

  When the analysis is performed by the sampling moire method, the common analysis area is an area extended from the dividing line by at least one period of the grating. In the case of analysis by the Fourier transform method, the common analysis area is an area extended by 0.5 period of the grating. The extension from the dividing line is applied to at least one of the horizontal direction and the vertical direction of the pixels constituting the image captured by the camera which is the imaging unit.

  21A to 21C and 22A to 22C are diagrams for explaining a region to be a common analysis region in phase analysis by the Fourier transform method.

  Here, as shown in FIG. 21A, when there is no extension of the lattice, the result of phase analysis by the Fourier transform method is as shown in FIG. 21B. If FIG. 21C which expanded the part W of FIG. 21B is referred, the phase value of the point PT on the dividing line D will be 0.9 instead of 0.0 of the correct answer, and an error will be large.

  On the other hand, as shown in FIG. 22A, in the case where the extension of the grating is 0.5, the result of the phase analysis by the Fourier transform method is as shown in FIG. 22B. Referring to FIG. 22C, which is an enlarged view of the part W in FIG. 22B, the phase value of the point PT on the dividing line D is 0.02, not 0.0 as the correct answer, and the error is small.

  As described above, when the extending grid is smaller than 0.5 cycle, the pixel on which the luminance information is missing is present near the dividing line, so that the error on the dividing line increases and the accuracy is lowered. If the grid to be extended is 0.5 cycles or more, since the pixel including the luminance information is present in the vicinity of the dividing line, it is possible to avoid the reduction in accuracy on the dividing line. For this reason, the common analysis area is an area extended from the dividing line by at least 0.5 grid periods.

  When analysis processing is completed for regions R11 to R13 shown in FIG. 20A to FIG. 20C and analysis results are synthesized, analysis results are synthesized after deletion of analysis results for portions of common analysis regions KR1, KR2, KR3 and KR4. Do.

  In the second embodiment, since there is a common analysis area including luminance information in the vicinity of the dividing line, the analysis accuracy can be maintained high.

  It is not necessary to provide a common analysis area for the joint between the pattern patterns. The portion beyond the joint is not desirable because the pattern pattern is not continuous, and if the information of the portion is referred to, the accuracy of analysis may be reduced.

Third Embodiment
In the third embodiment, the dividing line generation unit 42 generates a dividing line along the both-side open sipe for a region having a sipe whose both ends penetrate the main groove, that is, a both-side open sipe. In this case, the dividing line generation unit 42 generates one dividing line for both-side open sipes. In the third embodiment, the common analysis area is not generated.

  FIG. 23A to FIG. 23D are diagrams showing an example of processing in the case of generating a dividing line for a region having sipes which both ends penetrate through the main groove, that is, open sipes on both sides.

  An image G14 illustrated in FIG. 23A is captured by a capturing unit. The image G14 includes a region R8. In the region R8, the sipes SS exist at the positions of broken lines. That is, since there is a pattern break due to the sipes SS, the process proceeds to step S42 according to the determination in step S41 of FIG. 2, and the process of extracting the boundary in step S42 is performed. In the process of extracting the boundary line, the boundary line extraction unit 41 extracts a boundary line (not shown) by the same process as the process described with reference to FIG. 5A.

  Next, as shown in FIG. 23B, the parting line generation unit 42 generates a parting line D11 along the sipes SS. The pattern region dividing unit 43 divides the region R8 into two regions R81 and R82 along the dividing line D11 generated by the dividing line generation unit 42. FIG. 23C shows a region R81 divided along the dividing line D11. FIG. 23D shows a region R82 divided along the dividing line D11.

  As described above, by performing the analysis process on each of the areas R81 and R82 divided along the dividing line, it is possible to avoid taking in pixel information from the adjacent block, and the analysis accuracy is stabilized.

Fourth Embodiment
In the fourth embodiment, the dividing line generation unit 42 applies to a region having a sipe other than open-sided sipe, such as a sipe whose one end penetrates the main groove and the other end is closed without penetrating the main groove, Generate a dividing line starting at any one point on the boundary line. The dividing line generation unit 42 extends in a vertical direction a straight line extended parallel to the advancing direction of the boundary at the start point, a straight line extended perpendicularly to the advancing direction of the boundary at the start point, and pixels constituting the photographed image in the vertical direction Any one of a straight line or a straight line obtained by horizontally extending pixels constituting a captured image is generated as a dividing line. The dividing line generation unit 42 sets the end point of the dividing line at an arrival point to the area not requiring analysis in the image. The dividing line generation unit 42 sets, for example, an arrival point to an area in which the pattern is not formed, such as a break of the pattern, as the end point of the dividing line.

  FIGS. 24A to 24F are diagrams showing an example of processing in the case of generating a dividing line for a region having sipes other than double-sided open sipes. In this example, processing in the case of generating a dividing line extended in the vertical direction along an array of pixels constituting an image captured by a camera which is a capturing unit is shown.

  The image G15 shown to FIG. 24A is the image which image | photographed area | region R9 containing a pattern pattern. The image G15 includes the cut K2. The cut K2 is, for example, a sipes. In FIG. 24A, broken lines H3 and H4 indicate boundaries with the main groove. As shown in FIG. 24B, since the pattern pattern cut K2 exists, the process proceeds to step S42 according to the determination in step S41 in FIG. 2, and the process of extracting the boundary line in step S42 is performed. In the process of extracting the boundary line, the boundary line extraction unit 41 extracts a boundary line KY2 along the cut K2. Here, boundary line KY2 includes points PTA1 and PTA2.

  Next, as shown in FIG. 24C, the dividing line generation unit 42 generates two dividing lines D12 and D13 in this example. The dividing line D12 is a line that passes through the point PTA1 and is generated by extending in the vertical direction along the array of pixels. The dividing line D12 has a point PTA1 as a start point and a point PTB1 as an end point. The dividing line D13 is a line that passes through the point PTA2 and is generated by extending in the vertical direction along the array of pixels. The dividing line D13 has a point PTA2 as a start point and a point PTB2 as an end point. The points PTB1 and PTB2, which are the end points, are the reaching points to the area where no pattern is formed.

  As shown in FIG. 24C, the region R9 is divided into three regions R91, R92, and R93 by the two dividing lines D12 and D13. FIG. 24D shows a region R91 divided along the dividing line D12. FIG. 24E shows a region R92 divided along dividing lines D12 and D13. FIG. 24F shows a region R93 divided along the dividing line D13.

  As described above, dividing lines are respectively generated for the tire surface having various cuts, and analysis is performed on each area divided along the dividing lines, and the analysis results are combined to generate the cuts of the pattern pattern. The analysis will not be performed with reference to the information of the peripheral pixels across the bridge. This stabilizes the analysis accuracy.

  In the present embodiment, the common analysis region described in the second embodiment may be provided when the pattern-pattern-region dividing unit 43 performs division based on the dividing line. By providing a common analysis region and performing analysis, the accuracy of analysis can be maintained high.

(Example 1 of tire analysis system)
A more specific example of the non-contact three-dimensional shape measurement method using the pattern pattern formed as described above will be described. FIG. 25 is a diagram showing an example of a tire analysis system adopting a tire shape analysis method. FIG. 26 is a block diagram showing the function of the tire measurement device of the tire analysis system shown in FIG. In these drawings, FIG. 25 schematically shows the entire configuration of the tire analysis system, and FIG. 26 shows the main functions of the tire measurement device.

  The tire analysis system 1 according to the present embodiment is a system that analyzes the behavior of the tire (evaluates the responsiveness of the tire) by measuring a change in tire shape or a change in strain on the surface of the tire when a predetermined condition is input. Applies to The tire analysis system 1 includes a tire tester 2, an imaging device 3, and a tire shape analysis device 4 (see FIG. 25).

  The tire tester 2 is a device for applying test conditions to the test tire 10. In the configuration of FIG. 25, the tire tester 2 has a support device 21 and a drive device 22. The support device 21 rotatably supports the test tire 10 and has a rim 211 on which the test tire 10 is mounted. The driving device 22 is a device that applies a driving force to the test tire 10, and includes a motor 222 that drives the test tire 10 and a motor control device 223 that controls driving of the motor 222. In the following description, the test tire 10 may be simply referred to as a "tire 10".

  In the tire testing machine 2, the supporting device 21 mounts and supports the test tire 10 on the rim 211 and presses the test tire 10 against the upper surface 221 U which is one main surface of the transparent plate 221 of the driving device 22 to test the tire Apply a load to 10 Further, the support device 21 displaces the rim 211 to adjust the positional relationship between the test tire 10 and the transparent plate 221, thereby giving the test tire 10 a slip angle or an angle angle. Further, the drive device 22 can drive the motor 222 by the motor control device 223 to rotate the rim 211 by a predetermined angle. Thereby, the rolling state of the tire at the time of vehicle travel is reproduced with the surface of the transparent plate 221 as the road surface. The test conditions can be changed by the support device 21 and the drive device 22 adjusting the load, the rotational speed, the slip angle, the angle angle, and the like.

  The transparent plate 221 is a light transmitting plate having a property of transmitting light. The transparent plate 221 may not transmit 100% of light, as long as it has a light transmissivity capable of photographing the surface of the tire through the transparent plate 221. The transparent plate 221 is, for example, a flat plate made of acrylic resin or a flat plate made of glass. Since the contact state between the tire 10 and the flat plate is photographed and image analysis is performed, it is possible to analyze a more realistic contact state of the tire.

  The photographing device 3 has a pair of cameras 31 a and 31 b and a lamp 32 for illumination which is a light source. The cameras 31a and 31b are photographing units for photographing the tire 10, and are configured of, for example, a CCD (Charge Coupled Device) camera. The cameras 31 a and 31 b capture an image of the tire 10 via the transparent plate 221. The cameras 31a and 31b capture the test tire 10 from the lower surface 221D, which is the other main surface of the transparent plate 221, via the transparent plate 221. Further, the pair of cameras 31 a and 31 b are disposed at positions where the test tire 10 can be photographed from mutually different directions. The cameras 31a and 31b simultaneously photograph the test tire 10 from the left and right direction to generate a tire image (digital image data of the test tire 10). The angle θ between the line of sight 311a which is the photographing direction of the camera 31a and the line of sight 311b which is the photographing direction of the camera 31b is, for example, 28.6 degrees or more and 68.2 degrees or less. By setting the angle θ between the shooting directions of a plurality of cameras in this range, it is possible to obtain a three-dimensional shape with high accuracy. The illumination lamp 32 is a lamp that illuminates the imaging range of the cameras 31a and 31b, and is configured of, for example, a halogen lamp. These illumination lamps 32 may be of the always on type or may be of the flash on type.

  The tire shape analysis device 4 is, for example, a PC (Personal Computer) on which a predetermined analysis program is installed, and processes the image of the tire 10 input from the imaging device 3 to analyze the three-dimensional shape of the tire 10 Perform (see FIG. 26). The process of analyzing the three-dimensional shape of the tire 10 includes the process of calculating the three-dimensional shape of the tire 10 based on the image of the tire 10. The image captured by the imaging device 3 includes the lattice pattern M1, and the tire shape analysis device 4 analyzes each region obtained by dividing the image based on the dividing line. Division based on dividing lines is performed as in the above-described embodiments.

  As shown in FIG. 26, the tire shape analysis device 4 according to the present embodiment includes the cut determination unit 40, the boundary extraction unit 41, the parting line generation unit 42, the pattern region division unit 43, and the analysis unit 44. And an angle calculation unit 45. The analysis unit 44 can perform analysis processing on the image captured by the imaging device 3 to obtain a three-dimensional shape. The analysis unit 44 includes an image smoothing unit 411, a luminance distribution acquisition unit 412, a thinning processing unit 413, a moiré fringe generation unit 414, a phase distribution calculation unit 415, an unwrapping processing unit 416, and a three-dimensional shape calculation unit. 417 and a combining unit 418. The angle calculation unit 45 calculates the inclination angle of the transparent plate 221.

  The image smoothing unit 411 smoothes an area obtained by dividing the image captured by the imaging device 3 based on the dividing line. The image smoothing unit 411 performs smoothing processing in the vertical direction and the horizontal direction.

  The luminance distribution acquisition unit 412 obtains an image showing luminance distribution from the image smoothed by the image smoothing unit 411. The thinning processing unit 413 performs thinning processing on the image showing the luminance distribution with a fixed number of pixels. The moiré fringe generation unit 414 performs linear interpolation on the luminance of the thinned pixel using the luminance information of the pixel that is not thinned out to generate moiré fringes. The phase distribution calculation unit 415 calculates the phase distribution of the first pattern based on the moire fringes. The unwrapping processing unit 416 creates an unwrapped phase distribution. The three-dimensional shape calculation unit 417 calculates the three-dimensional shape of the portion in which the first pattern pattern of the tire 10 is formed, based on the phase distribution of the photographed image by each camera and the line of sight (photographing direction) . The three-dimensional shape calculation unit 417 is a line-of-sight data of the phase distribution of the captured image acquired by each of the cameras 31a and 31b based on the line of sight of the camera, that is, the relative position Get three dimensional shape by using as. The combining unit 418 combines the three-dimensional displacement contour diagrams of the divided regions obtained by the processing from the image smoothing unit 411 to the three-dimensional shape calculating unit 417.

  The analysis unit 44 performs analysis processing to obtain a measurement result of a three-dimensional shape from an image obtained by capturing the grid pattern M1. The analysis unit 44 uses, for example, a sampling moiré method as a non-contact shape measurement method of performing measurement based on a captured image. The sampling moire method is a method of measuring a shape by sampling a photographed image of an object on which a two-dimensional lattice is formed at predetermined pixel intervals (every X pixels). In the present embodiment, among the sampling moiré methods, the case of using the thinning selection type sampling moiré method will be described. The thinning selection type sampling moire method is a method of referring to the phase distribution of the thinning number optimum for analysis for each pixel of the photographed image in the sampling moire method.

  In the sampling moire method, for example, moire fringes are smoothed and smoothed in a fixed direction (for example, the vertical direction) for each region obtained by dividing a photographed image based on dividing lines, and moiré fringes are performed. An image is acquired, and a phase distribution obtained based on the image is used to search for a corresponding point in the screen between the two cameras.

  The ground contact shape of the tread of the tire may be obtained using a Fourier transform method. In that case, Fourier transformation is performed on each of the regions obtained by dividing the image of the grid pattern M1 based on the dividing lines.

  Digital image correlation may be used to obtain the tread profile of the tire. In that case, the lattice pattern M1 is a random pattern. The random pattern is a pattern consisting of patterns having no regularity.

  As described above, when the image of the grid pattern M1 includes a break, the shape of the tire 10 can be analyzed with high accuracy by dividing and analyzing based on the dividing line and combining the analysis result.

(Example 2 of tire analysis system)
FIG. 27 is a block diagram of a tire analysis system adopting another tire shape analysis method. As shown in FIG. 27, the tire analysis system 1 includes a rotary drum 12, a motor 222, a motor control device 223, an illumination lamp 32, a pair of cameras 31a and 31b, a trigger sensor 224, a PC with a predetermined analysis program installed, etc. The tire shape analysis device 4 according to the present invention is included. Lattice patterns M1 and M2 are formed on the outer peripheral surface 202 of the tread portion 2a of the tire 10.

  The rotating drum 12 is for rotating the tire 10 to be measured. The rotary drum 12 has a cylindrical shape having a cylindrical outer peripheral surface 12a, and is rotatably supported by a bearing mechanism (not shown) around its central axis, and the driving force of the motor 222 centers the central axis. To be rotated.

  The tire 10 to be measured is rotatably supported by a bearing mechanism (not shown) with its central axis parallel to the central axis of the rotary drum 12, and the outer peripheral surface 202 on which the tread portion 2a of the tire 10 is grounded. The tire 10 is configured to be rotated following the rotation of the rotary drum 12 by the rotary drum 12 being rotated in a state where the tire 10 is in contact with the outer peripheral surface 12 a of the rotary drum 12.

  The motor control device 223 adjusts the rotational speed of the motor 222. The illumination lamp 32 irradiates the tread portion 2 a of the tire 10 with light for photographing.

  The cameras 31a and 31b capture the grid patterns M1 and M2 formed on the outer peripheral surface 202 of the tread portion 2a of the tire 10 under the control of the tire shape analysis device 4, and also transmit the captured image data to the tire shape analysis device 4. Supply.

  The cameras 31a and 31b are provided at different positions. As these cameras 31a and 31b, various imaging devices such as a CCD camera can be adopted.

  The trigger sensor 224 is used to notify the tire shape analysis device 4 that the rotational position of the lattice patterns M1 and M2 has reached a place where photographing can be performed by the cameras 31a and 31b.

  The trigger sensor 224 supplies a trigger signal generated by detecting the mark MM formed on the rim portion 2b of the tire 10 in advance to the cameras 31a and 31b, so that the rotational position of the tread portion 2a is via the cameras 31a and 31b. The tire shape analysis device 4 is notified.

  As described above, when the grid pattern M1 or M2 includes a break in the captured image, it is divided and analyzed based on the dividing line, and the result of the analysis is synthesized to obtain the shape of the tire 10 with high accuracy. It can be analyzed.

DESCRIPTION OF SYMBOLS 1 tire analysis system 2 tire testing machine 2a tread portion 2b rim portion 3 photographing device 4 tire shape analysis device 10 test tire 12 rotating drum 12a outer peripheral surface 21 supporting device 22 driving device 31a, 31b camera 32 illumination lamp 40 cut determination portion 41 Boundary line extraction unit 42 Divided line generation unit 43 Pattern pattern area division unit 44 Analysis unit 45 Angle calculation unit 202 Outer peripheral surface 211 Rim 221 Transparent plate 222 Motor 223 Motor controller 224 Trigger sensor 311a, 311b Line of sight 411 Image smoothing unit 412 Brightness distribution Acquisition unit 413 Thinning processing unit 414 Moiré fringe generation unit 415 Phase distribution calculation unit 416 Unwrapping processing unit 417 Three-dimensional shape calculation unit 418 Synthesis unit K1, K2 Breaks KR1, KR2, KR3, KR4 Common analysis area KY1, KY2 Boundary line L1 Line LG M1, M2 lattice pattern

Claims (6)

A dividing line generation unit that generates a dividing line that is a line in the area of the pattern pattern based on a captured image obtained by capturing an area including the pattern pattern formed on the tire surface;
A pattern-pattern area dividing unit that divides an area of the pattern pattern of the photographed image based on the dividing line generated by the dividing line generation unit;
An analysis unit configured to analyze each of the areas of the pattern pattern divided by the pattern area dividing unit and synthesize an analysis result;
The parting line generation unit generates a parting line along the cut if the pattern includes a cut, and generates one or more parting lines if the pattern does not include a cut. .   The tire shape according to claim 1, wherein the parting line generation unit generates parting lines along the groove for the cut of the pattern corresponding to a groove formed on the tire surface and having open ends. Analysis device. The image processing apparatus further includes a boundary line extraction unit that extracts a boundary between a tire surface included in the photographed image and a cut of the pattern or a joint between the pattern and the pattern as a boundary.
The tire shape analysis device according to claim 1, wherein the parting line generation unit generates a line passing through at least one point on the boundary line extracted by the boundary line extraction unit as the parting line. The pattern-pattern area dividing unit is a common analysis area in which the same pattern pattern is included in at least two of all the images of the divided area except in a case where seams between the pattern patterns are generated as the dividing line. Is added near the dividing line to divide the area of the pattern,
The tire shape analysis device according to claim 3, wherein the analysis unit analyzes each of the areas of the pattern pattern to which the common analysis area is added, and synthesizes an analysis result.   The tire according to claim 4, wherein the cut of the pattern corresponding to the groove formed on the tire surface and open at both ends is divided along the cut without adding the common analysis region. Shape analysis device.   Determining whether the pattern pattern includes a cut on the basis of a captured image obtained by capturing an area including the pattern pattern formed on the tire surface, and determining that the pattern pattern includes a cut; Generating a dividing line which is a line in the area of the pattern, and determining that the pattern does not include a break, generating one or more dividing lines; and based on the generated dividing line. A tire shape analysis method comprising: dividing an area of the pattern of the photographed image; and analyzing each of the areas of the divided pattern so as to synthesize an analysis result.