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
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