Tire pattern similarity detection method

A technology of tire pattern and detection method, applied in the field of image recognition, can solve the problems of concentrated color distribution, variable rotation angle of pattern, inconsistent illumination, etc.

Inactive Publication Date: 2020-04-03
HARBIN ENG UNIV
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Problems solved by technology

[0004] In view of the above-mentioned prior art, the technical problem to be solved by the present invention is to provide a tire similarity algorithm based on template matching and LBP algorithm that can overcome the problems of concentrated tire image color distribution, variable pattern rotation angle, and inconsistent illumination. degree detection method

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Embodiment Construction

[0024] The present invention will be further described below in conjunction with the accompanying drawings.

[0025] A tire similarity detection method of the present invention is based on template matching to extract the tire pattern image, and the improved LBP algorithm is combined with the Hash algorithm to calculate the pattern similarity. The algorithm includes: extracting the overall tire image, by optimizing After the template matching, the tire pattern image is extracted, the LBP code with rotation invariance is obtained, the image fingerprint information is extracted, the image similarity is calculated, the pattern image with a high detection result is segmented, the local similarity is calculated, and the high similarity is screened out. part. The method has strong adaptability and can accurately extract the tire pattern image without specifying the background of the tire image, which solves the problems of variable tire pattern rotation angles and inconsistent illum...

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Abstract

The invention discloses a tire pattern similarity detection method. According to the method, a tire pattern image is extracted based on template matching, and the pattern similarity is calculated by combining an improved LBP algorithm and a Hash algorithm. The algorithm comprises the following steps: extracting an overall tire image; carrying out tire pattern image extraction through optimized template matching; obtaining an LBP code with rotation invariance; extracting image fingerprint information, and calculating image similarity; segmenting the pattern image with a relatively high detection result, calculating local similarity, and screening out a part with high similarity. The method is high in adaptability, does not need to specify a tire image background, can accurately extract thetire pattern image, and solves the problems of variable tire pattern rotation angles, inconsistent illumination and the like.

Description

technical field [0001] The invention belongs to the field of image recognition, in particular to a tire similarity detection algorithm based on template matching and LBP algorithm. Background technique [0002] The reliability and accuracy of the tire pattern image must be guaranteed before the similarity calculation of the tire pattern is performed. Template matching is a relatively primitive pattern recognition method. For an image to be recognized, when it is necessary to extract an object in the image, template matching will select an area in the image to be recognized that is consistent with the size and shape of the template image and the template The image is compared to select the part with the highest similarity with the template image, but the main color of the tire image is black. Using the original template matching algorithm to extract the tire pattern will produce a large error. [0003] The LBP operator scans the image sequentially with a circular window to o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06K9/34
CPCG06V10/26G06V10/462G06V10/751G06F18/22
Inventor 蔡成涛蔺孟群侯立东王峰乔人杰周悦媛底双
Owner HARBIN ENG UNIV
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