DocumentCode :
2808281
Title :
Parallel algorithm for gray-scale image segmentation
Author :
Cohen, Harvey A.
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia
fYear :
1996
fDate :
18-20 Nov 1996
Firstpage :
143
Lastpage :
146
Abstract :
One of the classic algorithms of mathematical morphology is the image segmentation algorithm of A. Rosenfeld and D. Pfaltz (1966). This algorithm in its “sequential” form, seeks to mark with a common label all connected pixels in an image, where the connectivity actually used in practice is 4-connectivity or 8-connectivity. The sequential Rosenfeld-Pfaltz algorithm (RS Algorithm) algorithm was presented for binary images; H.A. Cohen (199) has previously presented a one pass modification to the RS algorithm, and extended the algorithm to gray scale. The RS algorithm is not simple to parallelise in principle, as pixels in a connected subregion may be connected only via a chain of connected pixels in several other sub regions. We present a parallelisable algorithm for segmenting into regions, images of multiple gray scale, based on the one pass algorithm
Keywords :
image segmentation; mathematical morphology; parallel algorithms; 4-connectivity; 8-connectivity; binary images; classic algorithms; connected pixels; connected subregion; gray scale; gray scale image segmentation; image segmentation algorithm; mathematical morphology; multiple gray scale; one pass algorithm; one pass modification; parallel algorithm; parallelisable algorithm; sequential Rosenfeld-Pfaltz algorithm; Australia; Computer science; Gray-scale; Image color analysis; Image segmentation; Image texture analysis; Labeling; Morphology; Parallel algorithms; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Systems, 1996., Australian and New Zealand Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3667-4
Type :
conf
DOI :
10.1109/ANZIIS.1996.573919
Filename :
573919
Link To Document :
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