Texture surface defect detection and segmentation device and method in industrial environment

A defect detection, textured surface technology, applied in image analysis, image data processing, instrumentation, etc., can solve problems such as poor adaptability and generalization

Active Publication Date: 2019-09-13
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention provides a texture surface defect detection and segmentation device and method in an industrial environment to solve the problems that traditional methods need to rely on feature extraction technology, poor adaptability and generalization, etc.

Method used

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  • Texture surface defect detection and segmentation device and method in industrial environment
  • Texture surface defect detection and segmentation device and method in industrial environment
  • Texture surface defect detection and segmentation device and method in industrial environment

Examples

Experimental program
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Embodiment 1

[0063] Embodiment 1: as Figure 1-5 As shown, a texture surface defect detection and segmentation device in an industrial environment includes an input module I, a feature extraction module II, a defect region extraction module III, a defect region alignment module IV, a detection module V, and a segmentation module VI;

[0064] The input module I outputs to the feature extraction module II, the feature extraction module II outputs to the defect area extraction module III and the defect area alignment module IV, the defect area extraction module III outputs to the defect area alignment module IV, and the defect area alignment module IV outputs to Detection module V and segmentation module VI.

[0065] Further, the feature extraction module II is used to extract multi-scale features of defect images;

[0066] The defect area extraction module III is a candidate area extraction network RPN, which is used to predict the multi-scale features of the extracted defect image...

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Abstract

The invention relates to a texture surface defect detection and segmentation device and method in an industrial environment, and belongs to the technical field of industrial texture surface defect detection and segmentation. The device comprises an input module I, a feature extraction module II, a defect region extraction module III, a defect region alignment module IV, a detection module V and asegmentation module VI; the input module I outputs to the feature extraction module II; the feature extraction module II outputs to the defect region extraction module III and the defect region alignment module IV, the defect region extraction module III outputs to the defect region alignment module IV, and the defect region alignment module IV outputs to the detection module V and the segmentation module VI. The specific types, accurate position coordinates and spatial distribution information of multiple types of defects can be automatically obtained, and the method has good robustness for the multi-scale of the defects. The method has wide applicability and relatively high detection precision for texture surface defects.

Description

technical field [0001] The invention relates to a texture surface defect detection and segmentation device and method in an industrial environment, belonging to the technical field of industrial texture surface defect detection and segmentation. Background technique [0002] In the process of industrial product processing, due to raw materials, rolling equipment and technology, it is inevitable that different types of defects will appear on the surface. Common defects include scratches, pores and inclusions, etc. These defects not only affect the appearance of the product , It will also reduce the corrosion resistance, wear resistance and fatigue strength of the product, causing huge economic losses to the enterprise. How to automatically detect and segment surface defects in the production process to control and improve product quality has always been a matter of great concern to enterprises. [0003] Traditional detection methods use morphology, local ring comparison, sal...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/41G06K9/46G06K9/62
CPCG06T7/0008G06T7/11G06T7/41G06T2207/20081G06T2207/20084G06T2207/20104G06V10/462G06F18/24G06F18/214
Inventor 王剑平王海云张果欧阳鑫杨晓洪车国霖
Owner KUNMING UNIV OF SCI & TECH
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