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