Image enhancement algorithm underground mine based on homogeneity measurement
Lijuan Wang · Jisuanji gongcheng yu sheji · 2012
To improve the image visual effects underground mine,an improved method of combination of enhancement algorithm based on homogeneity measurement and fuzzy entropy theory is proposed.By quoting fuzzy entropy,the criterion based on fuzzy entropy measure is established,to reduce noises as possibly.The algorithm of the membership function is modified for fully extracting the image fractal dimension feature information.The algorithm of the contrast transformation factor is modified for local contrast enhance.The experimental results shows that the algorithm can avoid over-enhancement,and preserve better noise reducing,light and dark contrast and details.The algorithm is an efficiencial image enhancement underground mine.