Subscribe Now Subscribe Today
Science Alert
Curve Top
Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 13 | Page No.: 2474-2479
DOI: 10.3923/jas.2008.2474.2479
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Medical Image Segmentation Using Enhanced Hoshen-Kopelman Algorithm

K. Kies and N. Benamrane


This research present a method of 2D and 3D segmentation based on the Enhanced Hoshen-Kopelman algorithm and its extension to non-lattice structure. The main feature of this method is to combine a merging strategy of a region growing algorithm with the multiple labeling technique of the EHK algorithm for regular and non-regular lattice. An efficient reconstruction algorithm is then applied to the set of edge points for the obtained segmented regions. The latest uses 3D Delaunay weighted triangulation. The combination of these already known algorithms makes the proposed approach very fast, efficient and appropriate to volumetric segmentation and particularly the anatomical structures in MRI and CTScan images.

PDF Fulltext XML References Citation Report Citation
  •    An Automated White Blood Cell Nucleus Localization and Segmentation using Image Arithmetic and Automatic Threshold
How to cite this article:

K. Kies and N. Benamrane, 2008. Medical Image Segmentation Using Enhanced Hoshen-Kopelman Algorithm. Journal of Applied Sciences, 8: 2474-2479.

DOI: 10.3923/jas.2008.2474.2479






Curve Bottom