DocumentCode
2097164
Title
Color image segmentation by a watershed algorithm and region adjacency graph processing
Author
Saarinen, Kari
Author_Institution
Signal Process. Lab., Tampere Univ. of Technol., Finland
Volume
3
fYear
1994
fDate
13-16 Nov 1994
Firstpage
1021
Abstract
A new method for gray-scale, color and multispectral image segmentation is proposed. The method is based on a morphological split-and-merge fast watershed algorithm and region adjacency graph processing. It features partly iterative processing with relatively low computational load. Two system alternatives are presented and their application to color image segmentation is discussed. First computer simulations show correctness of operation and encourage for further research
Keywords
image segmentation; iterative methods; mathematical morphology; color image segmentation; computational load; computer simulations; gray-scale; morphology; multispectral image segmentation; partly iterative processing; region adjacency graph processing; watershed algorithm; Application software; Color; Computational modeling; Computer simulation; Design methodology; Gray-scale; Image segmentation; Laboratories; Multispectral imaging; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413690
Filename
413690
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