Tire shape inspection method and tire shape inspection apparatus
First Claim
1. A tire shape inspection method that inspects a sidewall surface of an inspection tire for shape defects by using an image of a sidewall surface of a sample tire having uneven marks in the sidewall surface thereof, the tire shape inspection method comprising:
- at least one processor configured to implement;
a teaching operation process includinga mask image generating step of detecting boundary lines which are contours of the uneven marks in a sample original image which is a two-dimensional image of the sidewall surface of the sample tire, and generating a mask image showing positions of the boundary lines, anda height offset image generating step of removing, from the sample original image, regions corresponding to the positions of the boundary lines shown in the mask image, and generating a height offset image by expressing heights of the remaining regions using one or a plurality of offset values; and
an inspection operation process includinga subtraction processing step of subtracting the height offset image from an inspection image which is a two-dimensional image of the sidewall surface of the inspection tire, and removing boundary regions shown by the mask image, anda shape defect detecting step of inspecting the sidewall surface of the inspection tire for shape defects on the basis of an unevenness-removed image obtained as a result of the subtraction processing step,wherein the height offset image generating step generates, in the sample original image, an offset profile that approximates a base surface which is a sidewall surface having no uneven marks, extracts the uneven marks from the sample original image on the basis of the generated offset profile, and sets heights of the extracted uneven marks as the offset valueswherein the height offset image generating step performs;
(I) extracting line data along a tire circumferential direction in the sample original image;
(II) extracting a base line of the sample tire on the basis of the line data;
(III) generating unevenness line data of the uneven marks by subtracting the base line data from the line data; and
(IV) setting heights of the generated unevenness line data as offset values of the uneven marks;
wherein the step (IV) performs;
(IV-1) setting an evaluation window having a predetermined width in a height direction of an uneven mark portion;
(IV-2) determining an average value of unevenness line data included in the evaluation window while shifting the evaluation window in a height direction of the unevenness line data; and
(IV-3) substituting the determined average value with a height of the uneven marks in the unevenness line data and using the height as the offset value.
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Abstract
A tire shape inspection method executes the following steps: first, as a teaching operation step, boundary lines of the bulge and dent marks are detected in a sample source image of a sample tire, a mask image is generated which denotes the boundary lines, regions are removed from the sample source image which correspond to the boundary lines which are denoted in the mask image, and a height offset image is generated which represents the heights of the remaining regions with one or more offset values. Next, as an inspection operation step, the height offset image is subtracted from an inspection image of the inspection tire, the boundary regions which the mask image represents are removed, and, on the basis of the obtained bulge/dent removal image, shape defects of the sidewall surfaces of the inspection tire are inspected.
13 Citations
5 Claims
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1. A tire shape inspection method that inspects a sidewall surface of an inspection tire for shape defects by using an image of a sidewall surface of a sample tire having uneven marks in the sidewall surface thereof, the tire shape inspection method comprising:
- at least one processor configured to implement;
a teaching operation process including a mask image generating step of detecting boundary lines which are contours of the uneven marks in a sample original image which is a two-dimensional image of the sidewall surface of the sample tire, and generating a mask image showing positions of the boundary lines, and a height offset image generating step of removing, from the sample original image, regions corresponding to the positions of the boundary lines shown in the mask image, and generating a height offset image by expressing heights of the remaining regions using one or a plurality of offset values; and an inspection operation process including a subtraction processing step of subtracting the height offset image from an inspection image which is a two-dimensional image of the sidewall surface of the inspection tire, and removing boundary regions shown by the mask image, and a shape defect detecting step of inspecting the sidewall surface of the inspection tire for shape defects on the basis of an unevenness-removed image obtained as a result of the subtraction processing step, wherein the height offset image generating step generates, in the sample original image, an offset profile that approximates a base surface which is a sidewall surface having no uneven marks, extracts the uneven marks from the sample original image on the basis of the generated offset profile, and sets heights of the extracted uneven marks as the offset values wherein the height offset image generating step performs; (I) extracting line data along a tire circumferential direction in the sample original image; (II) extracting a base line of the sample tire on the basis of the line data; (III) generating unevenness line data of the uneven marks by subtracting the base line data from the line data; and (IV) setting heights of the generated unevenness line data as offset values of the uneven marks; wherein the step (IV) performs; (IV-1) setting an evaluation window having a predetermined width in a height direction of an uneven mark portion; (IV-2) determining an average value of unevenness line data included in the evaluation window while shifting the evaluation window in a height direction of the unevenness line data; and (IV-3) substituting the determined average value with a height of the uneven marks in the unevenness line data and using the height as the offset value. - View Dependent Claims (2, 3)
the mask image is generated by binarizing the obtained differential image through application of a predetermined threshold value to the differential image.
- at least one processor configured to implement;
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3. The tire shape inspection method according to claim 2, wherein before application of the differential filter,
an undetected point in the sample original image is removed by interpolation; - and
the image from which the undetected point has been removed is planarized by removing curvature components of the sidewall surface from the image from which the undetected point has been removed, on the basis of a profile shape of the sidewall surface.
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4. A tire shape inspection apparatus that inspects a sidewall surface of an inspection tire for shape defects by using an image of a sidewall surface of a sample tire having uneven marks in the sidewall surface thereof, the tire shape inspection apparatus comprising:
- at least one processor configured to provide;
image picker for picking up a two-dimensional image of the sidewall surface; mask image generator for detecting boundary lines which are contours of the uneven marks in a sample original image which is a two-dimensional image of the sidewall surface of the sample tire, and generating a mask image showing positions of the boundary lines; height offset image generator for removing, from the sample original image, regions corresponding to the positions of the boundary lines shown in the mask image, and generating a height offset image by expressing heights of the remaining regions using one or a plurality of offset values; subtraction processor for subtracting the height offset image from an inspection image which is a two-dimensional image of the sidewall surface of the inspection tire, and removing boundary regions shown by the mask image; and shape defect detector for inspecting the sidewall surface of the inspection tire for shape defects on the basis of an unevenness-removed image obtained as a result of the subtraction processing step, wherein the plurality of offset values are heights of the uneven marks obtained by generating, in the sample original image, an offset profile that approximates a base surface which is a sidewall surface having no uneven marks, and extracting the uneven marks from the sample original image on the basis of the generated offset profile wherein the height offset image generator performs to; (I) extract line data along a tire circumferential direction in the sample original image; (II) extract a base line of the sample tire on the basis of the line data; (III) generate unevenness line data of the uneven marks by subtracting the base line data from the line data; and (IV-1) set an evaluation window having a predetermined width in a height direction of an uneven mark portion; (IV-2) determine an average value of unevenness line data included in the evaluation window while shifting the evaluation window in a height direction of the unevenness line data; and (IV-3) substitute the determined average value with a height of the uneven marks in the unevenness line data and using the height as the offset value. - View Dependent Claims (5)
- at least one processor configured to provide;
Specification