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(57) ABSTRACT In the method, the membership image is produced through a multi-stage process that contemplates a ?rst punctual classi?cation stage generating a rough membership image, followed by a loW-pass ?ltering of regionaliZation of the image through a down-sampling of the image followed by an up-sampling of the image, and in a further step of merging(More)
The paper proposes a new method devoted to identify specific semantic regions on CFA (Color Filtering Array) data images representing natural scenes. Making use of collected statistics over a large dataset of high quality natural images, the method uses spatial features and the Principal Component Analysis (PCA) in the HSL and normalized-RG color spaces.(More)
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