Automatic initialization for segmentation of medical images based on active contour
- Resource Type
- Conference
- Authors
- Athertya, Jiyo S.; Saravana Kumar, G.
- Source
- 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES) Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on. :446-451 Dec, 2014
- Subject
- Bioengineering
Signal Processing and Analysis
Image segmentation
Active contours
Feature extraction
Biomedical imaging
Image edge detection
Level set
High definition video
- Language
Image segmentation forms the crux of an image processing module. Its main goal is to divide the image into foreground and background with region of interest occupying the former. To achieve quality segmentation particularly in medical imaging, algorithms require user interaction with domain knowledge. Active contours are well established techniques which are prolifically used for segmenting medical images. It falls under the semi automatic method owing to the manual contour initialization. In this paper, we propose a simple, global approach of segmentation using an automatic initialization for active contour methods which has the potential to completely eliminate the human interaction.