Otsu thresholding segmentation algorithm based on Markov Random Field
Qian Wang, Hua Zhang, Qi Dong, Qingxiao Niu, Guangping Xu, Yanbing Xue · 2011
Since Otsu algorithm does not take the image spatial neighbor information into consideration, we combine the Markov random field with Otsu algorithm to integrate gray level information and spatial correlation information for the pixels. In this paper, Otsu thresholding algorithm based on Markov Random Field is proposed. In this algorithm, the neighborhood rejectability function is imported to Otsu algorithm and an threshold selection function is improved. The experiment results verify that applying our algorithm to road image segmentation can achieve good effects.