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《Journal of Geomatics Science and Technology》 2016-01
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An Adaptive Image Enhancement Approach Based on Cuckoo Search Algorithm

YE Zhiwei;ZHAO Wei;WANG Mingwei;MA Lie;School of Computer Science, Hubei University of Technology;  
Image enhancement is a key procedure in image processing, generally, the normalized incomplete Beta function enhancement method has good enhancement effect. However, to obtain good parameter of normalized incomplete Beta function method is still the key and difficult problem which is not fully solved, it often requires human intervention or computation is very time-consuming. The cuckoo search algorithm is a newly proposed metaheuristic algorithm, which is with feature of adaptive, self-organizing intelligent; moreover, it has a strong search ability of the optimal solution. Thus, in the paper, cuckoo search algorithm was employed to seek the optimal parameters for normalized incomplete Beta function image enhancement method and a novel normalized incomplete Beta function based image enhancement method optimized with cuckoo search algorithm was put forward, in the end, the actual image enhancement experimental results showed the effectiveness and feasibility of the method.
【Fund】: 国家自然科学基金项目(41301371;61202287;61170135;51372076);; 地理信息工程国家重点实验室开放研究基金项目(SKLGIE2014-M-3-3);; 湖北工业大学博士启动金项目(BSQD13081;BSQD12032)
【CateGory Index】: TP391.41
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