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- W1523843702 abstract "This paper aims to outline the General Adaptive Neighborhood Image Processing (GANIP) approach [1–3], which has been recently introduced. An intensity image is represented with a set of local neighborhoods defined for each point of the image to be studied. These so-called General Adaptive Neighborhoods (GANs) are simultaneously adaptive with the spatial structures, the analyzing scales and the physical settings of the image to be addressed and/or the human visual system. After a brief theoretical introductory survey, the GANIP approach will be successfully applied on real application examples in image restoration, enhancement and segmentation." @default.
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- W1523843702 date "2006-01-01" @default.
- W1523843702 modified "2023-10-09" @default.
- W1523843702 title "General Adaptive Neighborhood Image Restoration, Enhancement and Segmentation" @default.
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- W1523843702 doi "https://doi.org/10.1007/11867586_3" @default.
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