DocumentCode :
3062020
Title :
Image segmentation by region-contour cooperation for image coding
Author :
Benois, J. ; Barba, D.
Author_Institution :
IRESTE/LATI, Nantes, France
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
331
Lastpage :
334
Abstract :
Describes a method of image segmentation for image coding based on contour detection and region-growing procedures. Contour detection allows one to find the most evident frontiers of homogeneous regions. The region-growing procedure serves to close contours and to obtain more precise segmentation. The original idea of the method is the choice of growing centres which are placed on the skeleton of non-closed regions and used in split-and-merge procedure of region growing. The method allows one to obtain staircase closure of original contours which is easy to code
Keywords :
image coding; image segmentation; contour detection; image coding; image segmentation; region-contour cooperation; region-growing; split-and-merge procedure; staircase closure; Cleaning; Image coding; Image segmentation; Joining processes; Nonlinear filters; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
Type :
conf
DOI :
10.1109/ICPR.1992.201992
Filename :
201992
Link To Document :
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