Shape preserving local histogram modification

被引:109
作者
Caselles, V [1 ]
Lisani, JL
Morel, JM
Sapiro, G
机构
[1] Univ Illes Balears, Dept Math & Informat, E-07071 Palma de Mallorca, Spain
[2] Ecole Normale Super, Dept Math Appl, F-94235 Cachan, France
[3] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
关键词
connected components; histogram equalization; level-sets; local operations; mathematical morphology;
D O I
10.1109/83.743856
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by common local schemes, thereby introducing spurious objects and modifying the image information, The scheme is based on equalizing the histogram in all the connected components of the image, which are defined based both on the grey-values and spatial relations between pixels in the image, and following mathematical morphology, constitute the basic objects in the scene. We give examples for both grey-value and color images.
引用
收藏
页码:220 / 230
页数:11
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