基于快速的FAST算法,提出一种M-FAST角点算法,即首先使用直方图均衡化方法对图像进行增强,提高图像成分的清晰度并消除图像中光照强度的影响,其次用Mallat小波算法对图像进行去噪处理,加强图像的抗噪性,最后再使用FAST进行角点检测.通过实验对比,证明比原FAST算法更具鲁棒性和抗噪性.%FAST algorithm based on FAST, and put forward a kind of M-FAST angular point algorithm, namely first use histogram equalization method for image enhancement, raise the sharpness of the image components and to eliminate the effect of light intensity in the image, secondly by Mallat algorithm of wavelet image denoising processing, strengthen resistance to noise of the image, and then use FAST corner detection. Through experiment contrast, more than the original FAST algorithm robustness and resistance to noise.
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