基于模糊集的图像增强算法研究
An image enhancement algorithm based on fuzzy sets
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摘要: 该文通过定义新的隶属函数形式提出了一种自动图像增强的方法,该方法将图像转化为等效的图像模糊特征平面,在此基础上进行模糊增强,最后再转换为空域图像;模糊增强提高了低灰度区域和高灰度区域之间的对比度,从而使增强后图像的效果更好;最后对具有多峰直方图分布图像的模糊增强方法进行了推广。Abstract: In this paper, an automatic algorithm of image enhancement based on fuzzy sets is proposed by defining a new membership function. This algorithm is performed through extracting the fuzzy property plane from the spatial domain firstly, executing the fuzzy enhancement, and obtaining the modified spatial domain image finally. In order to get much better quality of the image the contrast among the regions is increased using the fuzzy enhancement. This algorithm is also extended to the enhancement of the multi-threshold image.
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郭桂容,模糊模式识别,长沙,国防科技大学出版社,1993,148-159[2]郭宗祥,模糊信息处理基础,成都,成都电讯工程学院出版社,1989,第三章.[3]S. N. Pal, R. A. King, Image enhancement using smoothing with fuzzy sets, IEEE Trans. on Sys.. Man, Cybernet., 1981, 11(7), 494-501.[4]N. Ot.su, A threshold selection method from gray level histograms, IEEE Trans. on Sys. Man Cybernet, 1979, 9, 62-66.[5]P. K. Sahoo, S. Soltanti, A. K. C. Wong, Y. C. Chen, A survey of the thresholding techniques.Comp. Vision Graphics Inage Process, 1988, 41(2), 233-260.[6]X.R.Pal, S. K. Pal, A review of image segmentation techniques, Pattern Recognition. 1993,26(9). 1277-1294. -
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