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基于自适应边缘提取的人眼定位方法
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2009-07-16
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本文提出了一种基于自适应边缘提取的人眼定位算法。首先通过高斯平滑滤波对原始
图像进行预处理，然后利用Robert 算子进行边缘提取，并且以边缘像素点的总数与图像像素点的总数之比为标准，将图像二值化，最后利用图像的行、列复杂度实现眼睛的准确定位。
关键词：人眼定位；自适应；边缘提取；图像复杂度
Abstract：An algorithm for eyes location is presented in this paper based on adaptive edge
extraction．First，Guass filter is used to eliminate the noise，then the edge is extracted from the image capitalizing on the Robert operators, and then the binary image is got by the criterion of the proportion between edge pixel number and the total pixel count. Finally，the eyes can be easily located by calculating the complexity of the binary image.
Key words：Eyes Location, Adaptive, Edge Extraction, Image Complexity
图像进行预处理，然后利用Robert 算子进行边缘提取，并且以边缘像素点的总数与图像像素点的总数之比为标准，将图像二值化，最后利用图像的行、列复杂度实现眼睛的准确定位。
关键词：人眼定位；自适应；边缘提取；图像复杂度
Abstract：An algorithm for eyes location is presented in this paper based on adaptive edge
extraction．First，Guass filter is used to eliminate the noise，then the edge is extracted from the image capitalizing on the Robert operators, and then the binary image is got by the criterion of the proportion between edge pixel number and the total pixel count. Finally，the eyes can be easily located by calculating the complexity of the binary image.
Key words：Eyes Location, Adaptive, Edge Extraction, Image Complexity
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