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Research on the Planar Fragments Matching

Author: ZhangChunYu
Tutor: WangBing
School: Northwestern University
Course: Applied Computer Technology
Keywords: Plane debris match Characteristics Slope variation Vector mode Splice
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 101
Quote: 1
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Abstract


Matching plane debris recovery technology research has important theoretical and practical significance , has become a pattern recognition, computer vision and other fields important research topic . In this paper, digital image processing, graphics , differential learning and pattern recognition fields of knowledge , in the study of previous existing theories based on the results , not only for debris matching process data acquisition , boundary extraction, feature analysis, matching and stitching and other technologies are more comprehensive overview , and suggested improvements , some new ideas and algorithms. This research work done include: 1 . Introduces the physical debris digitization, preprocessing and boundary extraction process. Found object debris caused by the thickness of the image plane debris double edge issues , complementing fragments actual model and the ideal model differences. Clear debris extracted boundary should have continuity , closeness and zero-width features, and to judge the merits of the extracted borders , improving the boundary tracking algorithm . (2) the characteristics of the boundary curve analysis and detection , in view of the computational complexity of discrete points and curvature exists the problem of low accuracy , this paper analyzes a variety of corner detection method based on the proposed change of slope discontinuities based multi-scale corner detection algorithm is proposed as a boundary curve of the vector constant modulus characteristic quantity profiling techniques . 3 According to coordinate transformation invariance vector model is proposed based on vector mode fragments matching algorithm. And the longest common subsequence problem of thinking and dynamic programming algorithm is applied to the amount of change based on the slope of the boundary curve matching problem . 4 In the analysis is based on rotation and translation of the fragments twenty-two stitching method is proposed based on the rotation and translation of debris implicit splicing methods, and the breadth-first and depth-first ideas to multiple fragmentation splicing problems is proposed based on the breadth-first and depth-first multi- fragmentation splicing strategy .

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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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