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基于中心-轮廓距离特征统计的形状表示方法

郭树旭 赵静 李雪妍

郭树旭, 赵静, 李雪妍. 基于中心-轮廓距离特征统计的形状表示方法[J]. 电子与信息学报, 2015, 37(6): 1365-1371. doi: 10.11999/JEIT140960
引用本文: 郭树旭, 赵静, 李雪妍. 基于中心-轮廓距离特征统计的形状表示方法[J]. 电子与信息学报, 2015, 37(6): 1365-1371. doi: 10.11999/JEIT140960
Guo Shu-xu, Zhao Jing, Li Xue-yan. Research on Shape Representation Based on Statistical Features of Centroid-contour Distance[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1365-1371. doi: 10.11999/JEIT140960
Citation: Guo Shu-xu, Zhao Jing, Li Xue-yan. Research on Shape Representation Based on Statistical Features of Centroid-contour Distance[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1365-1371. doi: 10.11999/JEIT140960

基于中心-轮廓距离特征统计的形状表示方法

doi: 10.11999/JEIT140960

Research on Shape Representation Based on Statistical Features of Centroid-contour Distance

  • 摘要: 该文提出一种新的基于特征统计的形状描述方法。通过对中心-轮廓距离(CCD)和传统链码(Chaincode)的联合统计分析,使用中心-轮廓距离对形状进行层次分解,对各层的形状映射部分的链码描述进行统计分析,从而形成中心-轮廓距离和链码的联合统计(JSCCDC)描述子。形状之间的相似性可以用JSCCDC的城区距离来描述。实验结果表明,该表示方法兼具了形状的全局特征和局部特征,相比于传统的特征加权方法具有更优越的性能,在形状匹配和形状检索中具有较高的精度和可靠性。
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出版历程
  • 收稿日期:  2014-07-21
  • 修回日期:  2015-01-15
  • 刊出日期:  2015-06-19

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