| 匹配概率估计方法 |
| |
| 引用本文： | 杨昕,杨新.匹配概率估计方法[J].红外与激光工程,2003,32(3):231-233,263. |
| |
| 作者姓名： | 杨昕 杨新 |
| |
| 作者单位： | 上海交通大学,图像处理与模式识别研究所,上海,200030 |
| |
| 摘 要： | 用基准图每个像素的三个特征参数即边缘密度、粗糙度、标准差作为评价模板图像匹配的品质指标，结合Fisher线性分类原理把估计区域匹配概率问题转化为对像素的分类问题，提出了一种匹配概率估计的新方法。实验结果表明，该方法可以有效地估计匹配概率，遴选出适合要求的景象匹配区。
|
| 关 键 词： | 匹配区选择 匹配概率 Fisher线性分类器 |
| 文章编号： | 1007-2276(2003)03-0231-03 |
| 收稿时间： | 2002/8/20 |
Approach to estimation of matching probability |
| |
| YANG Xin,YANG Xin.Approach to estimation of matching probability[J].Infrared and Laser Engineering,2003,32(3):231-233,263. |
| |
| Authors: | YANG Xin YANG Xin |
| |
| Abstract: | Three image feature indices (edge density, roughness and standard Dvalue) of every pixel in reference image are taken for the quality index of estimation of template image matching. With Fisher linear classifier, a new approach to estimation of matching probability is proposed which transforms the calculation of matching probability into the classification of pixels. The utility of the method is demonstrated by experiment and suitable matching areas can be sifted out. |
| |
| Keywords: | Matching area selection Matching probability Fisher linear classifier |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
