Fuzzy Image Enhancement Based on an Adjustable Intensifier OperatorFuzzy Image Enhancement Based on an Adjustable Intensifier Operator
Libao Yang, Suzelawati Zenian, Rozaimi Zakaria
Abstract
Fuzzy image enhancement is an important method in the process of image processing. Fuzzy image enhancement includes steps: gray-level fuzzification, modifying membership using intensifier (INT) operator, and obtaining new gray-levels by defuzzification. This paper proposed an adjustable INT operator with parameter k. Firstly, the image’s pixels are divided into two regions by the OTSU method (low and high region), and calculate the pixels’ membership by fuzzification in each region. Then, the INT operator reduce pixels’ membership in the low region and enlarge pixels’ membership in the high region. The parameter k is determined base on the pixel’s location information (neighborhood information), and plays an adjusting role when the INT operator is working. And finally, the result image is obtained by the defuzzification process. In the experiment results, the fuzzy image enhancement with the adjustable intensifier operator achieves a better performance.