Research on a least squares thresholding algorithm for pavement crack detection

This paper proposes a block-based least squares thresholding algorithm, according to the analysis and comparison of the shortcomings of Otsu and maximum entropy methods. The proposed algorithm deals with images by least squares processing methods, which stretch the gray level of images and make the gray values more uniform. In this way, the images can be more suitable for binarization.