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Tire pattern consistency detection system and method
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A tire pattern and detection system technology, applied in image data processing, instruments, character and pattern recognition, etc., can solve problems such as difficulty in ensuring consistent texture and texture deviation
Pending Publication Date: 2021-11-19
深邦智能科技集团(青岛)有限公司
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[0005] The embodiment of the present invention provides a tire pattern consistency detection system and its method, the purpose of which is to solve the problem of how to detect the consistency of two coaxial tires due to the deviation of the existing tire texture after long-term wear and tear. Whether the specifications, models and wear textures are consistent
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Embodiment 1
[0067] Refer to attached figure 1 As shown, the present invention provides a technical solution: a tire pattern consistency detection system, including an image acquisition module 100, a specific condition processing module 200 and a similarity matching module 300;
[0068] The image acquisition module 100 is used to obtain at least two tire original images, and perform noise filtering on the tire original images to obtain at least two tire partial images.
[0069] The image acquisition module 100 includes an obtaining unit 110, a normalization processing unit 120, a marking processing unit 130, a scanning unit 140, and a clipping unit 150. The obtaining unit 110 is used to obtain at least two original tire images, and construct a tire based on at least two original tire images. At least two HOG images, the normalization processing unit 120 is used to perform normalization processing on each HOG image, remove the gradient information lower than the preset threshold in each HOG...
Embodiment 2
[0083] The embodiment of the invention also discloses a method for detecting the consistency of the tire pattern, referring to the attached Figure 8-11 shown, including the following steps:
[0084] S1. Obtain at least two original tire images, and perform impurity filtering on the original tire images to obtain at least two partial tire images.
[0085] In a preferred embodiment of the present invention, the specific steps of obtaining the original image of the tire, and performing a filtering process on the original image of the tire to obtain a partial image of the tire are as follows:
[0086] S11. Obtain at least two original tire images, and construct at least two HOG images based on the at least two original tire images;
[0087] S12, performing normalization processing on each of the HOG images, removing gradient information below a preset threshold in each of the HOG images, and counting the texture information of each cell unit in each of the HOG images density; ...
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Abstract
The invention provides a tire pattern consistency detection system and method. The system comprises an image acquisition module, a specific condition processing module and a similarity matching module. The image acquisition module is used for synchronously obtaining at least two tire original images, and filtering the tire original images to obtain at least two tire local images; the specific condition processing module is used for searching slope lines from at least two tire local images, fitting the slope lines, dividing the slope lines into a plurality of feature groups according to specific conditions to obtain feature lines, and dividing tire patterns in each edge image into a plurality of feature blocks according to feature information of the feature lines; the similarity matching module can quickly and efficiently measure and calculate the similarity value of two coaxial tire images synchronously collected by a motor vehicle, analyzes the consistency of tire installation of the same model and specification and the use abrasion texture state, and has great practical significance for replacing a manual subjective detection mode of motor vehicle tire quality characteristics.
Description
technical field [0001] The invention belongs to the technical field of automobile tire detection, and in particular relates to a tire pattern consistency detection system and a method thereof. Background technique [0002] We know a method for automatically searching for defects present on the surface of tires. In this method, a two-dimensional or three-dimensional image of the surface is first collected by using a sensor through industrial vision technology. These images are then analyzed by automated means to locate any defects on the surface. For this purpose, automated means analyze one or more texture parameters of the image with the aim, on the one hand, of segmenting the image, in other words into regions in which the texture parameters are different; and, on the other hand, The aim is to classify the image, in other words to match the segmented image to a set of images in a reference image base, with the aim of identifying any defects. [0003] Dividing the image ...
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