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
fDate :
6/6/1996 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19960738
