MR Brain Real Images Segmentation Based Modalities Fusion and Estimation Et Maximization Approach
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 1
Abstract
With the development of acquisition image techniques, more data coming from different sources of image become available. Multi-modality image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single modality. The main aim of this work is to improve cerebral IRM real images segmentation by fusion of modalities (T1, T2 and DP) using estimation et maximizatio Approach (EM). The evaluation of adopted approaches was compared using four criteria which are: the standard deviation (STD), entropy of information (IE), the coefficient of correlation (CC) and the space frequency (SF). The experimental results on MRI brain real images prove that the adopted scenarios of fusion approaches are more accurate and robust than the standard EM approach
Authors and Affiliations
ASSAS Ouarda
Keywords
Related Articles
- EP ID EP117660
- DOI 10.14569/IJACSA.2016.070137
- Views 80
- Downloads 0
Wireless Internet of Things-Based Air Quality Device for Smart Pollution Monitoring
Nurul Azma Zakaria;azma@utem.edu.my|Zaheera Zainal Abidin;|Norharyati Harum;|Low Chen Hau;|Nabeel Salih Ali;|Fairul Azni Jafar;
Developing an Adaptive Language Model for Bahasa Indonesia
A language model is one of the important compo-nents in a speech recognition system. It is commonly developed using a statistical method called n-gram. However, a standard n-gram cannot be used for general domains with s...
A Novel Method for Secured Transaction of Images and Text on Cloud
Implementation of privacy preservation of data on cloud storage is tedious and complex. Cloud is a third party on – demand service to hold data for a specific period. There is no assurance from the cloud storage provider...
Synthetic Loads Analysis of Directed Acyclic Graphs for Scheduling Tasks
Graphs are structures used in different areas of scientific research, for the ease they have to represent different models of real life. There is a great variety of algorithms that build graphs with very dissimilar chara...
Measuring the Effect of Packet Corruption Ratio on Quality of Experience (QoE) in Video Streaming
The volume of Internet video traffic which consists of downloaded or streamed video from the Internet is projected to increase from 42,029PB monthly in 2016 to 159,161PB monthly, in 2021, representing a 31% increase in t...