DocumentCode
976724
Title
Region growing segmentation of textured cell images
Author
Wu, H.-S. ; Barba, J. ; Gil, J.
Author_Institution
Dept. of Pathology, School of Med., New York, NY, USA
Volume
32
Issue
12
fYear
1996
fDate
6/6/1996 12:00:00 AM
Firstpage
1084
Lastpage
1085
Abstract
The authors introduce a region growing algorithm working in conjunction with the K-means algorithm for the segmentation of textured cell images. The iterative algorithm initially segments the most easily classifiable regions which are grown in subsequent iterations. Only the most easily classifiable pixels in the remaining regions are segmented in each iteration. Experimental results of the procedure in segmenting breast cancer cells are demonstrated and compared to the K-means algorithm
Keywords
image segmentation; image texture; iterative methods; medical image processing; K-means algorithm; iterative algorithm; region growing algorithm; region growing segmentation; textured cell images;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19960738
Filename
502866
Link To Document