@article{ART001708283},
author={kim Seong-Kon},
title={Complex Cell Image Segmentation via Structural Feature Information},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2012},
volume={17},
number={10},
pages={35-41}
TY - JOUR
AU - kim Seong-Kon
TI - Complex Cell Image Segmentation via Structural Feature Information
JO - Journal of The Korea Society of Computer and Information
PY - 2012
VL - 17
IS - 10
PB - The Korean Society Of Computer And Information
SP - 35
EP - 41
SN - 1598-849X
AB - We propose a new marker driven Watershed algorithm for automated segmentation of clustered cell from microscopy image with less over segmentation. The Watershed Transform is able to segment extremely complex objects which are highly touched and overlapped each other. The success of the Watershed Transform depends essentially on the finding markers for each of the objects of interest. For extracting of markers positioning around center of each cell we used radial symmetry and iterative voting algorithms. With synthetic and real images, we quantitatively demonstrate the performance of our method and achieved better results than the other compared methods.
KW - Watershed Algorithms;Radial Symmetry;Iterative Voting;Marker
DO -
UR -
ER -
kim Seong-Kon. (2012). Complex Cell Image Segmentation via Structural Feature Information. Journal of The Korea Society of Computer and Information, 17(10), 35-41.
kim Seong-Kon. 2012, "Complex Cell Image Segmentation via Structural Feature Information", Journal of The Korea Society of Computer and Information, vol.17, no.10 pp.35-41.
kim Seong-Kon "Complex Cell Image Segmentation via Structural Feature Information" Journal of The Korea Society of Computer and Information 17.10 pp.35-41 (2012) : 35.
kim Seong-Kon. Complex Cell Image Segmentation via Structural Feature Information. 2012; 17(10), 35-41.
kim Seong-Kon. "Complex Cell Image Segmentation via Structural Feature Information" Journal of The Korea Society of Computer and Information 17, no.10 (2012) : 35-41.
kim Seong-Kon. Complex Cell Image Segmentation via Structural Feature Information. Journal of The Korea Society of Computer and Information, 17(10), 35-41.
kim Seong-Kon. Complex Cell Image Segmentation via Structural Feature Information. Journal of The Korea Society of Computer and Information. 2012; 17(10) 35-41.
kim Seong-Kon. Complex Cell Image Segmentation via Structural Feature Information. 2012; 17(10), 35-41.
kim Seong-Kon. "Complex Cell Image Segmentation via Structural Feature Information" Journal of The Korea Society of Computer and Information 17, no.10 (2012) : 35-41.
