Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images
For analyzing neurological disorders, realistic analysis of brain MRIs serves as a prerequisite step. This realistic analysis can be best described by segmenting the image into its constituent parts. Unfortunately, segmentation carried out by human visual system (HVS) is always influenced by certain...
Main Authors: | Jasni, Mohamad Zain, Ahmed, M. Masroor, Rana, M.T.A |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/6185/ http://umpir.ump.edu.my/id/eprint/6185/ http://umpir.ump.edu.my/id/eprint/6185/ http://umpir.ump.edu.my/id/eprint/6185/1/mahmood2.pdf |
Similar Items
-
The use of genetic algorithm in improving medical image segmentation techniques
by: Hassan, Raini, et al.
Published: (2011) -
On Maximal Degree of Domination for Decision Making
by: Suhirman, ., et al. -
A Review of Image Segmentation Methodologies in Medical Image
by: Lee, Lay Khoon, et al.
Published: (2015) -
A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking
by: Jasni, Mohamad Zain, et al.
Published: (2012) -
Towards a Malay derivational lexicon: learning affixes using expectation maximization
by: Sulaiman, Suriani, et al.
Published: (2011)