Title :
Color image segmentation by a watershed algorithm and region adjacency graph processing
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
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;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413690
