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Research on Industrial Radiographic Image Sharpening Enhancement Algorithm

Author: ZhangCong
Tutor: GuiZhiGuo
School: University of North
Course: Signal and Information Processing
Keywords: Image Enhancement Edge detail enhancement The Munsell gray-scale order Unsharp mask Gradient filtering
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 54
Quote: 2
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Abstract


With the continuous development of the X-ray imaging technology, X-ray detection technology, industrial inspection, medical imaging, security and aerospace plays an extremely important role in the production life it has been part of our lives and become a non missing part. However, due to the influence of the X-ray detector system hardware and the complexity of the piece to be checked, and other factors, will result in a decline in the quality of the output image, such as the edge detail is blurred, the contrast reduction, and noise becomes large. Accordingly, in order to make the output image to achieve the specific needs of the image processing. This paper first describes the current development of the industrial-ray image intensifier, as well as the basic method, followed by in-depth study of the industrial-ray image intensifier theory and technology, and in the analysis of the problems and shortcomings encountered in practical applications, some improvements industrial-ray image sharpening method. The main work of this paper is as follows: 1. Study a novel based on the characteristics of the human visual the gray range segmentation method - Munsell gray-order method, and Munsell gray-order method applied to industrial-ray image sharp Chemical enhancement processing, a nonlinear the industrial-ray image sharpening enhancement algorithms. The experiments show that the algorithm than the improved algorithm before processing ray image more satisfactory results; 2. Study two unsharp mask enhancement improved method. The first method is enhanced by adaptive adjustment factor to the edge of the improve industrial-ray image detail enhancement effect, this method can adaptively adjust the image's edge detail sharpening strength, and thus excellent enhancement. The second method is to improve through a combination of piecewise linear gradient filter the details of the industrial-ray image edge enhancement effect, this approach with a more controllable parameters by adjusting these parameters, you can get a significant edge detail sharpening effect. The experiment proved that the improved algorithm after processing out-ray image than the basic algorithm works much better; 3 with a nonlinear gradient filter one is able to control the noise of the unsharp mask sharpening enhancement method, this method can ray image sharpening edge detail while limiting the noise enhancement. Experiments show that the method better sharpening industrial radiographic image enhancement and control noise.

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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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