基于自適應(yīng)邊緣提取的人眼定位方法

本文提出了一種基于自適應(yīng)邊緣提取的人眼定位算法。首先通過高斯平滑濾波對原始
圖像進(jìn)行預(yù)處理，然后利用Robert 算子進(jìn)行邊緣提取，并且以邊緣像素點的總數(shù)與圖像像素點的總數(shù)之比為標(biāo)準(zhǔn)，將圖像二值化，最后利用圖像的行、列復(fù)雜度實現(xiàn)眼睛的準(zhǔn)確定位。
關(guān)鍵詞：人眼定位；自適應(yīng)；邊緣提??；圖像復(fù)雜度

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