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The Study of Image Pro-processing in Automatic Rating of Steel Surface Defects

Author: FanFan
Tutor: ShiXiaoLong
School: Huazhong University of Science and Technology
Course: Systems Engineering
Keywords: Steel quality inspection Slab surface defects rating Digital Image Processing Illumination compensation Image segmentation
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 50
Quote: 2
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Abstract


Steel quality testing has been an important part of the iron and steel production , steel billet production efficiency and production quality are of great significance . Steel slab surface defect detection as an important iron and steel quality detection technology , has been the focus of attention is the field of iron and steel production . Recent years the steel slab surface defects the rating technology most widely used cold - etching surface defect detection method have a good effect on the accuracy , but the technology is still artificial , the detection efficiency and accuracy have gradually unable to meet production requirements. For the billet cooling etching surface defects on the rating of automation applications , solutions based on digital image processing technology to achieve the billet cooling etching image defect of automation . This article focuses on in-depth study of the image pre-processing process in the automatic rating technology . Image pre-processing is designed to be targeted , unified image in all respects , the elimination of negative factors affecting the image feature extraction , and provide the necessary support for the work of the follow-up feature extraction . For image pre-processing process , focusing on the illumination compensation , image segmentation . For picture polarized serious , this article by the histogram equalization method , light detection algorithm and effectiveness of the compensation method study compared the proposed illumination compensation algorithm based on the above two methods improved , effectively overcome the polarization phenomenon billet image , to guarantee the validity of image segmentation . For image pre-processing of image segmentation , different defects were proposed algorithm development center segregation , the center porosity discrete features , the global threshold , local threshold combined with stray point segmentation method based on neighborhood algorithm ; implodes , especially bifida , the performance characteristics of the corner crack defects and rating methods , the comparative analysis of the combined region growing method, global threshold image segmentation method based on boundary tracking , and efficiency .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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