基于模糊集的圖像增強算法研究
An image enhancement algorithm based on fuzzy sets
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摘要: 該文通過定義新的隸屬函數(shù)形式提出了一種自動圖像增強的方法,該方法將圖像轉化為等效的圖像模糊特征平面,在此基礎上進行模糊增強,最后再轉換為空域圖像;模糊增強提高了低灰度區(qū)域和高灰度區(qū)域之間的對比度,從而使增強后圖像的效果更好;最后對具有多峰直方圖分布圖像的模糊增強方法進行了推廣。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,模糊模式識別,長沙,國防科技大學出版社,1993,148-159[2]郭宗祥,模糊信息處理基礎,成都,成都電訊工程學院出版社,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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