Image Thresholding and Simulation Using Multi-properties Based on Ultra-fuzzy Sets
Kun Wang · Jisuanji fangzhen · 2007
Classical measures partition one image according to a single property. So,it is difficult to satisfy requests of the image thresholding. Furthermore,due to disturbing factors,the result of image thresholding based on fuzzy sets is not always satisfactory. A new thresholding using multi-properties based on ultra-fuzzy sets was proposed (F2ES),which processed optimal threshold as comprehensive assessment function constructed by fuzzy entropy and fuzzy similarity based on ultra-fuzzy sets. Experimental results and simulations conducted on various images are provided to testify the validity of the proposed algorithm.