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一种采用改进细菌觅食优化算法的图像增强方法

DOI: 10.13195/j.kzyjc.2013.1794, PP. 461-466

Keywords: 图像处理,灰度图增强,细菌觅食优化算法,非完全Beta函数,局部搜索,位置扰动

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Abstract:

为了解决现有图像增强技术在细节处理方面的不足以及变换后图像直方图分布偏移的情况,提出一种采用改进细菌觅食优化算法的灰度图像增强方法.针对细菌觅食算法在优化高维函数时性能不佳、易陷入早熟收敛的缺陷,将变高维的灰度图像增强问题转化为固定2维的非完全Beta函数的参数最优化问题.仿真实验结果表明了所提出方法的有效性,与其他方法相比,增强后的图像细节表现更自然,直方图分布更均匀,明暗区域分配更合理.

References

[1]  孙勇强. 基于群体智能优化算法的图像增强研究[D]. 无锡: 江南大学计算机学院, 2008.
[2]  (Sun Y Q. The Research of the image enhancement based on swarm intelligence optimization algorithm[D]. Wuxi: College of Computer Science, Jiangnan University, 2008.)
[3]  陈文飞, 廖斌, 许雪峰, 等. 基于Piecewise 直方图均衡化的图像增强方法[J]. 通信学报, 2011, 32(9): 153-160.
[4]  (Chen W F, Liao B, Xu X F, et al. Piecewise histogram equalization based image enhancement[J]. J on Communications, 2011, 32(9): 153-160.)
[5]  周激流, 吕航. 一种基于新型遗传算法图像自适应增强算法的研究[J]. 计算机学报, 2001, 24(9): 959-964.
[6]  (Zhou J L, L¨u H. Image enhancement based on a new
[7]  genetic algorithm[J]. Chinese J of Computers, 2001, 24(9): 959-964.) Lee J D. Digital image enhancement and noise filter by
[8]  using local statistics[J]. IEEE Trans on PAMI, 1997, 19(9): 863-872.
[9]  Tubbs J D.A note on parametric image enhancement[J].Pattern Recognition, 1987, 20(6): 617-621.
[10]  黄培. 量子遗传算法及其在图像自适应增强中的应用研究[D]. 无锡: 江南大学计算机学院, 2005.
[11]  (Huang P. Quantum genetic algorithm and its application on image auto-adaptive optimization[D]. Wuxi: College of Computer Science, Jiangnan University, 2005.)
[12]  李锦. 小生境混合蛙跳算法研究与应用[D]. 西安: 西安电子科技大学计算机学院, 2012.
[13]  (Li J. The research and application of the niche shuffled frog leaping algorithm[D]. Xi’an: College of Computer Science, Xidian University, 2012.)
[14]  Passino K M. Biomimicry of bacterial foraging for distributed optimization and control[J]. Control System Magazine, 2002, 22(3): 52-67.
[15]  Sun J, Fang W, Palade V, et al. Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point[J]. Applied Mathematics and Computation, 2011, 218(7): 3763-3775.
[16]  刘小龙, 李荣钧, 杨萍. 基于高斯分布估计的细菌觅食优化算法[J]. 控制与决策, 2011, 26(8): 1233-1238.
[17]  (Liu X L, Li R J,Yang P. Bacterial foraging optimization algorithm based on estimation of distribution[J]. Control and Decision, 2011, 26(8): 1233-1238.)
[18]  Biswas A, Dasgupta S, Das S, et al. Synergy of PSO and bacterial foraging optimization — A comparative study on numerical benchmarks[J]. Innovations in Hybrid Intelligent Systems, 2007, 44(2): 255-263.
[19]  Arijit Biswas, Sambarta Dasgupta, Swagatam Das. A synergy of differential evolution and bacterial foraging optimization for global optimization[J]. Neural Network World, 2007, 17 (6): 607-626.
[20]  刘小龙. 细菌觅食优化算法的改进及应用[D]. 广州: 华南理工大学工商管理学院, 2011.
[21]  (Liu X L. Improvement and application of bacterial foraging optimization algorithm[D]. Guangzhou: College of Business Administration, Institutes of Technology of South China, 2011.)
[22]  马苗, 梁建慧, 郭敏. 基于细菌觅食算法的SAR图像阈值分割[J]. 西安电子科技大学学报: 自然科学版, 2011, 38(6): 152-178.
[23]  (Ma M, Liang J H, Guo M. SAR image thresholding segmentation based on the bacteria foraging algorithm[J]. J of Xidian University: Natural Edition, 2011, 38(6): 152-178.)
[24]  李杰, 彭月英, 元昌安, 等. 基于细菌觅食优化算法的自适应阈值边缘检测[J]. 计算机工程, 2012, 38(21): 178-181.
[25]  (Li J, Peng Y Y, Yuan C A, et al. Adaptive threshold edge detection based on bactrial foraging optimization algorithm[J]. Computer Engineering, 2012, 38(21): 178-181.)
[26]  张铃, 张钹. 佳点集遗传算法[J]. 计算机学报, 2001, 24(9): 1-6.
[27]  (Zhang L, Zhang B. Good point set based genetic algorithm[J]. Chinese J of Computers, 2001, 24(9): 1-6.)
[28]  章国勇, 伍永刚, 谭宇翔. 一种具有量子行为的细菌觅食优化算法[J]. 电子与信息学报, 2013, 35(3): 614-621.
[29]  (Zhang G Y, Wu Y G, Tan Y X. Bacterial foraging optimization algorithm with quantum behavior[J]. J of Electronics and Information Technology, 2013, 35(3): 614-621.)
[30]  迟玉红, 孙富春, 王维军, 等. 基于空间缩放和吸引子的粒子群优化算法[J]. 计算机学报, 2011, 34(1): 115-130.
[31]  (Chi Y H, Sun F C, Wang W J, et al. An improved particle swarm optimization algorithm with search space zoomed factor and attractor[J]. Chinese J of Computers, 2011, 34(1): 115-130. )
[32]  施泽波. 图像增强中优化算法适应度函数设计[J]. 电光与控制, 2013, 20(5): 49-52.
[33]  (Shi Z B. Fitness function design for optimization algorithm in image enhancement[J]. Electronics Ptics and Control, 2013, 20(5): 49-52.)
[34]  Pisano E D, Zong S, Hemminger B M, et al. Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms[J]. J of Digital Imaging, 1998, 11(4): 193-200.
[35]  Cheng H D, Shi X J. A simple and effective Histogram Equalization approach to image enhancement[J]. Digital Signal Processing: A Review J, 2004, 14(2): 158-170.
[36]  Chen J, Paris S, Durand F. Real-time edge-aware image processing with the bilateral grid[J]. ACM Trans on Graphics, 2007, 26(3): 103.

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