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| Image Adaptive Enhancement Research Based on Improved Shuffled Frog Leap Algorithm |
| CHEN Hong-tao |
| Huanghuai University, Zhumadian, Henan 463000, China |
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Abstract To improve the effect of image enhancement, improved shuffled frog leaping algorithm was proposed.Firstly, frogs were grouped, one was used swarm intelligence algorithm, and another was used adaptive algorithm. Secondly, image pixel was mapped code based on real encoding.Thirdly,leap frog was Trimmed update based on fuzzy set.Finally,mean square error function was as evaluation function, and image adaptive enhancement was achieved based on Beta nonlinear transformation function optimal parameter value. Experimental simulation result show: improved shuffled frog leap algorithm has high contrast for image enhancement, processing time is less, pixel data obtained has high precision.
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Received: 22 June 2015
Published: 14 October 2016
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［1］马敏,高振福,王化祥.基于BP神经网络的ECT图像重建算法［J］.计量学报, 2013, 34(6): 524-528.
［2］Priyanka Roy, Pritam Roy, Abhijit Chakrabarti. Modified shuffled frog leaping algorithm with genetic algorithm crossover for solving economic load dispatch problem with valve-point effect［J］. Applied Soft Computing,2013,13(11): 4244-4252.
［3］Jianping Luo, Minrong Chen. Improved Shuffled Frog Leaping Algorithm and its multi-phase model for multi-depot vehicle routing problem［J］. Expert Systems with Applications,2014,41(5):2535-2545.
［4］Weiping Ding, Zhijin Guan, Quan Shi, et al. A more efficient attribute self-adaptive co-evolutionary reduction algorithm by combining quantum elitist frogs and cloud model operators［J］.Information Sciences,2015, 293(1):214-234.
［5］Teekeng W, Thammano A. A Combination of Shuffled Frog Leaping and Fuzzy Logic for Flexible Job-Shop Scheduling Problems［J］. Procedia Computer Science,2011,6:69-75.
［6］Lakshmi K, Rama A, Rao M. Hybrid shuffled frog leaping optimisation algorithm for multi-objective optimal design of laminate composites［J］. Computers & Structures,2013,125,(9):200-216.
［7］Ahandani M A. A diversified shuffled frog leaping: An application for parameter identification［J］. Applied Mathematics and Computation,2014,239(5):1-16.
［8］Li J Q, Pan Q K, Xie S X. An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems［J］. Applied Mathematics and Computation,2012, 218(18): 9353-9371.
［9］冯晨,张玲华.改进混合蛙跳算法在无线传感网定位中的应用［J］.计量学报, 2013, 34(4): 360-365.
［10］Rohozinski J, Goorha R. A frog virus 3 gene codes for a protein containing the motif characteristic of the INT family of integrases［J］. Virology,2012,186(2): 693-700.
［11］Tang N, Wu S P, Chen M Y, et al. Effect mechanism of mixing on improving conductivity of asphalt solar collector［J］. International Journal of Heat and Mass Transfer,2014,75(8):650-655.
［12］李逦,姚晔,李铁.基于混沌策略和动态自适应的云调度研究［J］.计算机应用研究,2014,31(6):1825-1827,1832.
［13］曾真,陆麟,王元庆.采用快速混合蛙跳算法的微光图像增强［J］.红外与激光工程,2014,43(7):2318-2323.
［14］丁卫平,王建东,陈森博,等.基于改进混合蛙跳算法的粗糙属性交叉熵优化约简［J］.南京大学学报（自然科学版),2014,50(2):160-166. |
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2016, Vol. 37 
