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Edge Detection Based on Catastrophe Theory

Author: FanSong
Tutor: BiXiaoJun
School: Harbin Engineering University
Course: Signal and Information Processing
Keywords: Edge Detection Catastrophe theory Cusp model MATLAB
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 90
Quote: 6
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Abstract


Edge detection image processing the most classic research in the field of image analysis and computer vision , image analysis on the basis of . Many methods have been proposed in the field of edge detection theories and methods proposed so far there are inadequacies in the specific case is still not well detected by the edge of the object , difficult to find a universal adaptability edge detection methods . Therefore, according to the specific application requirements to design a new method of edge detection , or to improve the existing method to obtain a satisfactory edge detection result , is still the direction of the mainstream of the present study . Firstly introduced to control the field of mutation control theory to the field of image edge detection using the catastrophe theory of mutations of the characteristics of image edge features , combined with the practical problems need to identify the mutation model describes the system state changes the law , through the cusp catastrophe the theory of the edge of the model image edge detection . The experimental results show that , the edge detection method proposed in this paper to overcome the the classical differential edge detection algorithm for the incomplete edge detection and computational complexity of modern edge detection algorithm disadvantage can accurately detect the a continuous image edge and has a good real - time and accurate .

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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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