Title :
Segmentation and edge-preserving restoration
Author :
Teboul, Sylvie ; Blanc-Féraud, Laure ; Aubert, Gilles ; Barlaud, Michel
Author_Institution :
Lab. I3S, Nice Univ., Valbonne, France
Abstract :
This paper deals with segmentation and edge-preserving restoration. We use an active contour method to segment an image which may not be very noisy with regard to its edges. In order to both restore and segment a noisy image, we propose in this paper to derive a system of two partial differential equations, one for edge-preserving restoration (using edges given by segmentation), and the other for segmentation (using the restored image)
Keywords :
edge detection; image restoration; image segmentation; noise; object recognition; partial differential equations; PDE; active contour method; edge-preserving restoration; noisy image; partial differential equations; restored image; segmentation; Active contours; Active noise reduction; Differential equations; Image restoration; Image segmentation; Noise shaping; Partial differential equations; Power system restoration; Shape; Topology;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.638810
