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《Journal of Software》 2006-02
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A Fast Matching Algorithm Based on Image Gray Value

LI Qiang1,2+, ZHANG Bo1,2 1(Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China) 2(State Key Laboratory of Intelligent Technology and Systems (Tsinghua University), Beijing 100084, China)  
Correlation algorithms based on pixel gray value are very popular and widely used in image template matching. However, these algorithms have high time complexity and are sensitive to the variation of image luminance and scale. To avoid that, a new algorithm based on coding image grey value is proposed. This algorithm divides the image into certain size blocks called R-block, sums the gray value of each R-block pixel, and codes the R-block according to the sorting result among the neighborhood of R-blocks. Image and template are matched by comparing their R-block coding. The R-block is very rapidly and easily coded and only equality comparison is needed. The new algorithm is robust to the linear transformation of pixel grey value and image noise. Its time complexity is reduced to O(M2log(N)), or namely is improved two order of magnitude in contrast to the current correlation algorithms’.
【Fund】: 国家自然科学基金;; 国家重点基础研究发展规划(973)~~
【CateGory Index】: TP391.41
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