Cloth defect detection method using hierarchical gradient direction histogram and support vector machine
A support vector machine and gradient direction technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of large sample demand, low detection efficiency, high false detection rate and missed detection rate, and improve the quality of cloth Control ability, reduce labor cost, and ensure the effect of accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0027] Example
[0028] Such as figure 1 As shown, a cloth defect detection method using a layered gradient direction histogram and a support vector machine provided by the present invention includes the following steps:
[0029] Taking the twill cloth image of the German TILDA cloth sample library as an example, a cloth defect detection method using a layered gradient direction histogram and a support vector machine provided by the present invention includes the following steps:
[0030] S1: Obtain the defective and non-defective images of a certain type of cloth and perform gray-scale processing to form a gray-scale image sample library of defective and non-defective cloth;
[0031] S2: Extract an unblemished cloth gray image from the cloth gray image sample library, and use the autocorrelation coefficient method to calculate the horizontal period Tx and the vertical period Ty of the texture primitives of the cloth gray image;
[0032] S3: Divide all cloth gray-scale image samples in ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap