A nondestructive control system is proposed. We consider an application of defect detection in metal workpieces. To solve this defect detection problem, we propose an image processing system including denoising, segmentation, and mapping. A contour preserving denoising method based on wavelet decomposition is adapted; various tools of contour based image segmentation are combined adequately, to segment successively high contrast and low contrast contours; generalized Hough transform is adapted to map processed and reference workpieces without defects. Comparative results are proposed which involve the proposed image processing system, and two region based segmentation methods
De-noising for the strip steel surface defect image is conductive to the accurate detection of the s...
Accurate and efficient image segmentation can contribute to improving the recognition rate of surfac...
Abstract Developments in defect descriptors and computer vision-based algorithms for automatic opti...
We consider the problem of the automatic inspection of industrial metal pieces. The purpose of the w...
<p> This work aims at detecting defects on metallic industrial parts with complex surface. The sear...
An inspection system using estimated three-dimensional (3-D) surface characteristics information to ...
Automatic metallic surface defect inspection has received increased attention in relation to the qua...
The visual inspection of many industrial products is based on contour analysis. The main task is the...
Nowadays the demands on quality control are constantly increasing, hence an important step is a comp...
Vision-based inspection systems have been widely investigated for the detection and classification o...
A vision-based inspection system has been investigated in order to improve the quality of products a...
This paper describes a detection of common defects in laser welding of structural aluminum alloy. To...
Image segmentation technology has been widely used to detect the surface defects in metal industries...
This paper presents an automatic system for the quality control of metallic components using a photo...
Contour extraction process is often disturbed by complex backgrounds or foregrounds in the machine v...
De-noising for the strip steel surface defect image is conductive to the accurate detection of the s...
Accurate and efficient image segmentation can contribute to improving the recognition rate of surfac...
Abstract Developments in defect descriptors and computer vision-based algorithms for automatic opti...
We consider the problem of the automatic inspection of industrial metal pieces. The purpose of the w...
<p> This work aims at detecting defects on metallic industrial parts with complex surface. The sear...
An inspection system using estimated three-dimensional (3-D) surface characteristics information to ...
Automatic metallic surface defect inspection has received increased attention in relation to the qua...
The visual inspection of many industrial products is based on contour analysis. The main task is the...
Nowadays the demands on quality control are constantly increasing, hence an important step is a comp...
Vision-based inspection systems have been widely investigated for the detection and classification o...
A vision-based inspection system has been investigated in order to improve the quality of products a...
This paper describes a detection of common defects in laser welding of structural aluminum alloy. To...
Image segmentation technology has been widely used to detect the surface defects in metal industries...
This paper presents an automatic system for the quality control of metallic components using a photo...
Contour extraction process is often disturbed by complex backgrounds or foregrounds in the machine v...
De-noising for the strip steel surface defect image is conductive to the accurate detection of the s...
Accurate and efficient image segmentation can contribute to improving the recognition rate of surfac...
Abstract Developments in defect descriptors and computer vision-based algorithms for automatic opti...