2010 Second International Conference on Information Technology and Computer Science 2010
DOI: 10.1109/itcs.2010.45
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Cited by 2 publications
(2 citation statements)
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“…Compared with the traditional method to extract the gradient edge of gray image, the proposed edge detection algorithm has better detection performance, and it can reduce the information loss of RGB three channels and make the edge extraction more accurate. Paper [10] provided an image fusion method, which used multi-channel image subtraction to segment defects. e method can update the reference image continuously with the printing production.…”
Section: Related Researchmentioning
confidence: 99%
“…Compared with the traditional method to extract the gradient edge of gray image, the proposed edge detection algorithm has better detection performance, and it can reduce the information loss of RGB three channels and make the edge extraction more accurate. Paper [10] provided an image fusion method, which used multi-channel image subtraction to segment defects. e method can update the reference image continuously with the printing production.…”
Section: Related Researchmentioning
confidence: 99%
“…Kim et al 52 developed a new steel strip surface inspection system using K-nearest neighbor –based image processing. Peng et al 53 proposed a real-time presswork defect detection technique based on machine vision. For a stable and high-speed inspection, defect segments are detected based on multi-channel image subtraction.…”
Section: Introductionmentioning
confidence: 99%