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基于极坐标区间运算的2D形状匹配
引用本文:张国敏,殷建平,祝恩,毛玲. 基于极坐标区间运算的2D形状匹配[J]. 计算机研究与发展, 2008, 45(Z1): 286-290
作者姓名:张国敏  殷建平  祝恩  毛玲
作者单位:1. 国防科学技术大学计算机学院,长沙,410073
2. 国防科学技术大学电子科学与工程学院,长沙,410073
摘    要:形状匹配是遥感图像目标识别、字符识别、手形识别和步态识别等任务中的关键步骤之一.针对刚体识别任务中形状匹配易受方向、尺度和位置等仿射变化量影响的情况,提出了一种新的基于极坐标区间运算的2D形状匹配算法.该算法首先以形状区域的中心点为极点,区域的最长轴方向为极轴,对形状区域进行归一化的极坐标变换;然后定义了同一角度对应的区域内点区间之间的运算;最后定义了两个区域归一化极坐标变换结果在区间运算下的相似度函数,用以表征两个区域之间的匹配度.从可见光遥感图像中提取的实物图像实验结果证明,该方法能够有效归类相似形状,并能区分各类不同的形状.

关 键 词:形状匹配  极坐标变换  区间运算  相似度
修稿时间:2007-07-10

2D Shape Matching Based on Polar Interval Operations
Zhang Guomin,Yin Jianping,Zhu En,Mao Ling. 2D Shape Matching Based on Polar Interval Operations[J]. Journal of Computer Research and Development, 2008, 45(Z1): 286-290
Authors:Zhang Guomin  Yin Jianping  Zhu En  Mao Ling
Affiliation:Zhang Guomin1,Yin Jianping1,Zhu En1,, Mao Ling21(School of Computer Science,National University of Defense Technology,Changsha 410073)2(School of Electronic Science , Engineering,Changsha 410073)
Abstract:Shape matching is one crucial step in the recognition of remote sensing image objects, characters, hand shapes, and gait, etc. In order to eliminate the effects of rigid object affine variables such as orientation, scale, and position, a novel shape matching algorithm is proposed based on polar interval operations. First, normalized polar coordinate translation is carried out in the shape region with an origin at the middle of the region and a polar axis of the longest region orientation axis. Then, interva...
Keywords:shape matching  polar coordinate translation  interval operations  similarity  
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