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3D reconstruction of medical images of the human body information - based edge detection algorithm

Author: XueJunPing
Tutor: HeJiShan
School: Central South University
Course: Biomedical Engineering
Keywords: Edge Detection Linear filter Canny criteria Discrete criteria Image processing
CLC: R318
Type: Master's thesis
Year: 2005
Downloads: 113
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Abstract


Image edge detection feature extraction , attaches great importance to all aspects of researchers as an important feature in the field of medical imaging , pattern recognition , computer vision , and military guidance by a wide range of uses . 3D reconstruction and visualization of the human information system research topic , the paper focuses on the medical image edge detection technique . First a simple description of the research and application of human information system , the system then , a more comprehensive overview of the historical background of the edge detection , research status , domestic and foreign research results and the advantages and disadvantages of the various methods and the scope of application . Canny first proposed three continuous criteria for edge detection : optimal test results , the optimal positioning and low repetition response , and on the basis of these criteria , the first derivative of the optimal linear filter - Gaussian function . After ten years of development , there has been a lot of improvements on this criterion , and also the summary of this aspect of the work done . Demigny discrete edge detection criteria are given on the basis of theoretical analysis and practical , and prove that in the discrete criteria Canny third criteria threshold operation can be replaced . In this paper, numerical methods obtained the optimal linear filter and edge detection Demigny discrete criteria corresponding to its smooth operator . The operator and Canny edge detection method to get a complete edge detection algorithm , and the algorithm application . Algorithm for image edge detection results , the algorithm is not only simple , but the effect is very good , it is a more practical method of edge detection . Finally , this paper presents a Research edge detection process , the author recalled , outlook and experience . On the basis of this article , pointed out the direction to be explored further research in the future .

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CLC: > Medicine, health > Basic Medical > Medical science in general > Biomedical Engineering
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