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边缘分类SIFT算法

Keywords: SIFT算法, 特征提取, 边缘类, 几何不变矩

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Abstract:

针对经典SIFT算法的实时性较差和其在图像拼接应用时特征点冗余的问题,研究了其在整个尺度空间搜索极值点步骤后,利用图像几何不变矩理论结合图像边缘提取技术提取了图像的边缘类,并在边缘类对应的尺度空间中提取特征点,从而给出了一种改进的SIFT算法.经过多组实验后,结果显示改进后算法可以使图像的冗余特征点减少20%~50%,从而大大减少经典SIFT特征点冗余性并提高了算法的运行速度.

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