Touch screen image defect detection method and device based on sparse features
Through a method based on sparse features, defect detection is carried out on the touch screen image, which solves the problem of low detection accuracy in the prior art, and achieves more efficient defect recognition and accuracy.
CN119919365APending Publication Date: 2025-05-02CHONGQING YOUTH VOCATIONAL & TECH COLLEGE
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Patent Information
- Application Number
- CN202411978543.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-05-02
AI Technical Summary
Technical Problem
In the prior art, the accuracy of touch screen defect detection is low, and reliance on manual detection is prone to repeated detection and missed detection.
Method used
The defect detection of the touch screen image is performed using a method based on sparse features, an image acquisition scheme is generated through the preset acquisition accuracy, the sparseness rate of the image is calculated, and whether there are defects in the image is determined based on the sparseness rate threshold is determined.
Benefits of technology
Improve the accuracy of touch screen image defect detection, reduce the dependence on manual detection, and reduce production costs.
✦ Generated by Eureka AI based on patent content.
Abstract
The embodiment of the invention relates to the field of image processing, and provides a touch screen image defect detection method based on sparse features, and the method comprises the steps: generating a collection scheme for carrying out the image collection of a to-be-detected touch screen according to preset collection precision, and obtaining a first collection scheme, performing image acquisition on the touch screen to be detected according to the first acquisition scheme to obtain a first image set, calculating a sparse rate corresponding to a first image in the first image set according to a preset redundant dictionary to obtain a first sparse rate set, obtaining a threshold value corresponding to the first sparse rate in the first sparse rate set, and obtaining a second sparse rate corresponding to the first sparse rate in the second sparse rate set; according to the method and the device, the sparse rate threshold value is obtained, the first image with the defect in the first image set is obtained according to the sparse rate threshold value and the first sparse rate set, the target image set is obtained, and the accuracy of detecting the defect of the touch screen image is improved.
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