Abstract The computation consuming of 2D maximum entropy method is often an obstacle in the image segmentation. In this paper logarithm is replaced by subtraction and the threshold vector is obtained by using a new optimization algorithm. The new algorithm is proposed to realize the 2D maximum entropy method instead of exhaustive search method, thus it is faster than the traditional method. The proposed method has been proved to be efficient through the example for segmenting the infrared image.
LIU YiTong,FU MengYin. A Fast Infrared Image Segmentation Method Based on TwoDimensional Entropy and Particle Swarm Optimization Algorithm[J]. , 2008, 21(2): 155-159.
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