An image segmentation method based on maximizing fuzzy correlation and its fast recursive algorithm

作者：Tang, Yinggan^*; Mu, Weiwei; Zhao, Lixing; Zhao, Gang

来源：Computers & Electrical Engineering, 2014, 40(3): 833-843.

DOI：10.1016/j.compeleceng.2013.07.009

• 2-DIMENSIONAL HISTOGRAM
• ENTROPY APPROACH
• TSALLIS ENTROPY
• PARTITION
• OPTIMIZATION
• INFORMATION

In this paper, an image segmentation method is proposed that integrates fuzzy 2-partition into Yen's maximum correlation thresholding method. A fuzzy 2-partition of the image is obtained by transforming the image into fuzzy domain by means of two parameterized membership functions. Fuzzy correlation is defined to measure the appropriateness of the fuzzy 2-partition. An ideal threshold is calculated from the optimal membership functions' parameters, which make the corresponding fuzzy 2-partition have maximum fuzzy correlation. In the process of searching the optimal parameters of membership functions, a fast recursive algorithm is presented in order to reduce the computation complexity. Experimental results on synthetic image, brain magnetic resonance (MR) images and casting images show that the proposed method has a satisfactory performance.

• 出版日期2014-4
• 单位中国科学院电工研究所; 燕山大学