| 张量投票方法的投票域计算分析 |
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| 引用本文： | 邵晓芳,叶灵伟,王勇,邓宝松.张量投票方法的投票域计算分析[J].电光与控制,2009,16(9). |
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| 作者姓名： | 邵晓芳 叶灵伟 王勇 邓宝松 |
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| 作者单位： | 1. 海军航空工程学院青岛分院,山东,青岛,266041
2. 总后后勤科学研究所信息系统室,北京,100071 |
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| 摘 要： | 张量投票方法是一种鲁棒性很强的特征提取方法,而投票域的计算则是应用该方法进行图像处理的关键步骤之一。通过实验分析了该方法的投票域计算时的唯一关键参数—尺度参数对投票结果的影响,并通过实例说明在具体应用领域中可以根据图像特点简化投票域的计算。
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| 关 键 词： | 图像处理 特征提取 张量投票 投票域 尺度分析 |
Analysis of the Tensor Voting Field Computation |
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| SHAO Xiaofang,YE Lingwei,WANG Yong,DENG Baosong.Analysis of the Tensor Voting Field Computation[J].Electronics Optics & Control,2009,16(9). |
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| Authors: | SHAO Xiaofang YE Lingwei WANG Yong DENG Baosong |
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| Affiliation: | 1.Qingdao Branch of Naval Aeronautical Engineering Institute;Qingdao266041;China;2.Institute of Logistics Science Research;General Logistics Department;Beijing100071;China |
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| Abstract: | Tensor voting is a robust method for feature extraction,while the tensor voting field computation is one of the key steps to apply this method in image processing.We present an analysis of the tensor voting field computation.First,experimental results are utilized to illustrate the unique key parameter,the scale's influence on the voting results;Then,an example is given to demonstrate that the voting field computation can be simplified according to the specific computations. |
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| Keywords: | image processing feature extraction tensor voting voting field scale analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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