Infrared Electric Image Enhancement Based On Fuzzy Renyi Entropy and Quantum Genetic Algorithm

摘要:

文章预览

Infrared thermograph has been applied in electric equipment inspection widely, but the visual effects of infrared images are always undesirable. Considering the limitation of low luminance,low contrast in infrared images,an enhancement method based on fuzzy Renyi entropy and quantum genetic algorithm is presented in this paper.Firstly,the contrast-sketching function presented in [1] is improved based on the idea of segmentation. Then, in order to segment the infrared image, Renyi entropy is extend to fuzzy domain considering the fuzzy nature of infrared image, and is employed to threshold the infrared image following maximal entropy principle. In order to meet the real-time demand of online monitoring, quantum genetic algorithm is employed to search the optimal parameters of the transform function. The experimental results indicate that the method can well improve the visual effect of infrared electric images.

信息:

期刊:

编辑:

Honghua Tan

页数:

1774-1780

DOI:

10.4028/www.scientific.net/AMM.66-68.1774

引用:

S. H. Fan et al., "Infrared Electric Image Enhancement Based On Fuzzy Renyi Entropy and Quantum Genetic Algorithm", Applied Mechanics and Materials, Vols. 66-68, pp. 1774-1780, 2011

上线时间:

July 2011

输出:

价格:

$38.00

[1] R. C. Gonzalez, R. E. Woods. Digital Image Processing (Prentice Hall, USA 2002).

[2] Y. Luo and G.Y. Tu: Computer Vision Technology and Application in Power Systems. Automation of Electric Power System. Vol. 25, pp.76-79, (2003).

[3] Liu YanFeng, Li JianGang: Infrared diagnostic techniques in Suzhou Network. High Voltage Technology, Vol. 12, pp.413-415 (2008) (in Chinese).

[4] Sezgin M, Sankur B: Survey over image thresholding techniques and quantitative performance evaluation. Electron. Imaging, Vol. 13, pp.146-165(2004).

DOI: 10.1117/1.1631315

[5] Sahoo P K, Arora G: A thresholding method based on two-dimensional Renyi's entropy. Pattern Recognition. Vol. 37, pp.1149-1161, (2004).

DOI: 10.1016/j.patcog.2003.10.008

[6] Benabdelkader S, Boulemden M.: Recursive algorithm based on fuzzy 2-partition entropy for 2-level image thresholding. Pattern Recognition. Vol. 38 pp.1289-1294, (2005).

DOI: 10.1016/j.patcog.2004.03.018

[7] Andrea Malossini, Enrico Blanzieri, Tommaso Calarco: Quantum Genetic Optimization. IEEE Trans. On Evolutionary Computation. Vol. 0, pp.1-30(2007).

DOI: 10.1109/tevc.2007.905006

[8] Pavesic N, Ribaric S. Gray level thresholding using the Havrda and Charvat entropy. Proc. 10th Mediterranean Electrotechnical Conf., MEleCon2000, IEEE (2000), p.631–634. (2000).

DOI: 10.1109/melcon.2000.880013

[9] J.D. Tubbs: A Note on Parametric Image Enhancement. Pattern Recognition. vol. 20, p.617–621, (1987).

DOI: 10.1016/0031-3203(87)90031-8

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