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《Journal of Optoelectronics.Laser》 2009-01
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A novel contour-feature retrieval algorithm

SUN Jun-ding1,2,LI Quan-xi1,WU Xiao-sheng1,2(1.School of Computer Science and technology,Henan Polytechnic University,Jiaozuo 454003,China;2.Provincial Key Laboratory of Computer Information Processing Technology,Suzhou University,Suzhou 215006,China)  
The paper presents a novel approach for contour-based shape retrieval.The contour is firstly sampled and smoothed by a Gaussian filter.Then,the sampled points are classified into salient(convex or concave)or smooth type points by their internal angles.In addition to distance histograms(DH),two new descriptors named relative address distribution(RAD)and relative unit entropy(RUE)are introduced to describe the correlation of each type of contour points.These descriptors have powerful descriptive ability for contour with more spatial information.Comparisons are conducted between the proposed method and several other feature descriptors.The results show that the new method is efficient and it provides noticeable improvement to the performance of shape retrieval.
【Fund】: 河南省教育厅自然科学基础研究基金资助项目(2007520019 2008B520012);; 苏州大学江苏省计算机信息处理技术重点实验室开放基金资助项目(KJS0715);; 河南理工大学博士基金资助项目(B050901);; 河南理工大学骨干教师资助基金资助项目
【CateGory Index】: TP391.3
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