The thresho ld ing method based 2-D max imum entropy and the one based on 2-D m inimum cross entropy are used w ide ly in im age segmentation today, bu t in some app lications, they fa il to segment im ages because of too h igh or too low thresho lds. Therefore, we proposed an im age thresho ld ing m ethod based on the comb ination of 2-D max imum entropy and 2-D m inimum cross entropy. Firstly, the formula of the 2-D m in imum cross entropy w as transfo rmed, then 2-D max imum entropy and 2-D m inimum cross entropy w ere combined together usingmult-i objective prog ramm ing theory so that the optima l thresho ld value could satisfy the threshold requirem ent of the bo th. A new recursive algo rithm w as in ferred using the features o f the 2-D h istogram in order to search the best thresho ld vecto r and to reduce the compu ting complex ity

二维最大熵和二维最小交叉熵结合的图像分割.pdf

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