A hybridized matching algorithm is proposed based on edge feature and correlation coefficient method after analyzing traditional grey-based algorithms and feature-based algorithms.
分析了传统的基于灰度和基于特征的匹配算法，提出了一种基于边缘特征和相关系数的新匹配算法。
In this paper, we use edge detection, integral projection and template matching to compute the dates of the face feature, and have acquired a higher veracity.
本文利用边缘检测、积分投影及模板匹配等相结合的方法，比较准确的获得了人脸各个特征部位的数据。
Using Shape edge template matching technique to find the feature point and abstract the area of ROI automatically, calculate number of the pixels that the connected areas have to remove noise further.
提出了利用图形边缘模板匹配搜寻特征点自动提取ROI区域，通过计算连通区域包含像素进一步去除噪声的方法。
We do some researches on the algorithm of CBIR, and pay more attention on the global feature (including color, edge and texture feature) extraction and matching algorithms.
对基于内容的图象信息检索算法作了研究。重点阐述了对颜色、边缘、纹理等全局特征的提取与匹配算法。
Sub pixel matching is carried out by superposing edge feature on image.
同时，采用特征与影像叠加进行了亚像素匹配。
To resolve those problems mentioned above, in this paper the authors propose a global matching method based on combination of feature point and feature edge.
为更好地解决上述问题，本文提出了基于特征点匹配与边缘线匹配相结合的方法。
To resolve those problems mentioned above, in this paper the authors propose a global matching method based on combination of feature point and feature edge.
为更好地解决上述问题，本文提出了基于特征点匹配与边缘线匹配相结合的方法。
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