Abstract：Clustering algorithms need be given beforehand the classification number in classification, otherwise, classification can not be operated. This paper proposed an automatic clustering algorithm based on BIC by introducing a new type objective function. The algorithm not only realizes an automatic segmentation, but also provides theory bases for determining classification number which is obtained by solving the minimum value of clustering objective function. The simulation results show that the new method is valid and universal. When the transformation of grey levels of clustering image is obvious, the new algorithm, K-mean and FCM algorithm have the same clustering results. Otherwise, when the transformation of grey levels of clustering image is not obvious, clustering results of the new algorithm is superior to K-mean and FCM algorithm.
陈国艳，张 颖，梁德群. 基于BIC准则的图像分割算法[J]. 辽宁工程技术大学学报(自然科学版), 2016, 35(11): 1359-1362.
CHEN Guoyan, ZHANG Ying, LIANG Dequn. A novel method for image segmentation based on the BIC. Journal of LNTU.Natural Science, 2016, 35(11): 1359-1362.