Title :
Visual information from anisotropic transformations
Author :
Boccignone, Giuseppe ; Ferraro, Mario ; Caelli, Terry
Author_Institution :
Dipt. di Ing. dell´´Inf. e Ing. Elettrica, Salerno Univ., Italy
Abstract :
Loss of information in images undergoing fine-to-coarse image transformations is analyzed by using an approach based on the theory of irreversible transformations. It is shown that entropy variation along scales can be used to characterize basic, low-level information and to gauge essential perceptual components of the image. The method is extended to the case of anisotropic diffusion and an algorithm based on entropy variation is presented that extracts relevant features of the image, showing in particular how to discriminate between smooth, textured and edge-type regions
Keywords :
edge detection; entropy; feature extraction; image resolution; image texture; anisotropic diffusion; anisotropic transformations; edge-type regions; entropy variation; fine-to-coarse image transformations; information loss; low-level information; perceptual components; relevant feature extraction; scales; smooth regions; textured regions; theory of irreversible transformations; visual information; Anisotropic magnetoresistance; Coordinate measuring machines; Density measurement; Diffusion processes; Entropy; Equations; Feature extraction; Image representation; Production systems; Variable speed drives;
Conference_Titel :
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location :
Venice
Print_ISBN :
0-7695-0040-4
DOI :
10.1109/ICIAP.1999.797617
