http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Optimized Adaptive Fuzzy based Image Enhancement Techniques
Taranbir Kaur,Ravneet Kaur Sidhu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.1
Image enhancement plays an important role in vision applications. Recently much work is performed in the field of images enhancement. Many techniques have already been proposed up to now for enhancing the digital images. The overall objective of this proposed work is to evaluate the performance of existing image enhancement techniques like Histogram equalization, adaptive histogram equalization and Fuzzy image enhancement technique. It has been found that the value of contrast parameter ‘K’ in fuzzy method was taken statically as 128. To overcome this, to make contrast dynamic a new optimized fuzzy method have been proposed. Here different optimization techniques ACO, PSO and ABC have been used to optimize the contrast and the technique with best optimized contrast value is selected. The newest approach has the ability to boost the contrast in digital images in efficient manner by utilizing the histogram based fuzzy image enhancement algorithm with optimized Contrast value. The proposed technique is designed and implemented in MATLAB using image processing toolbox.