一种改进的Harris角点提取算法

针对广泛使用的Harris角点提取算法在对T型和斜T型角点存在定位不准确以及运算速度慢的特点，提出了一种改进算法。改进算法以目标像素点的8-领域范围内与之灰度相似的点的数目为基础，并将该值与目标像素点附近的其他像素点进行比较，分析局部范围内的像素点的灰度值分布，根据比较结果，从中遴选出部分像素点作为下一步Harris角点检测算法的计算对象，并根据角点函数响应值的大小，最终判断该像素点是否为角点。实验结果表明改进算法大大提高了角点检测速度，并对T、斜T型角点提高了其角点检测的定位精度。

An improved algorithm for Harris corner detection

An Improved method for Harris corner detection is proposed while considering that there are two limitations exits in the Harris method. The first is its low localization to two kinds of corners(T and diagonal T). The second is its low efficiency. The improved method compare the value between the kernel pixel and pixels in the kernel pixel’s 8-neigbourghood while in which the value demonstrate the number of pixels that are similar to the kernel pixel. As a result of comparison, some of the pixels are reserved for the next step computation. If the value of the Harris corner response function(CRF) is bigger than the threshold value, the pixel will be considered as corner finally. The experiment show that the improved method achieves a better performance.