Research of enhancement algorithm for infrared image based on the fuzzy set theory
Kun Wang · IOP Conference Series Earth and Environmental Science · 2017
Infrared image s is always company with various common defects such as the imaging blurring, poor contrast, and low discrimination rate between the target and the background, etc. According to the disadvantages, this paper discusses the traditional algorithm based on the fuzzy set theory proposed by Pal and King, moreover, we develop the algorithm to boost the fuzzy set theory in image details missing. For realizing the image contrast stretching adaptively, we employed the improved sine function as the membership functions well as select the pixels transit point of the infrared image adaptively by the average grey value and the standard deviation in terms of the infrared image. The results of the simulation by MATLAB show that the improved fuzzy algorithm conducted in this paper enhances the infrared image subtle details, improves the contrast of the infrared image and the visualization of the infrared image.