An Improved Brain Mr Image Segmentation using Truncated Skew Gaussian Mixture
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 7
Abstract
A novel approach for segmenting the MRI brain image based on Finite Truncated Skew Gaussian Mixture Model using Fuzzy C-Means algorithm is proposed. The methodology is presented evaluated on bench mark images. The obtained results are compared with various other techniques and the performance evaluation is performed using Image quality metrics and Segmentation metrics.
Authors and Affiliations
Nagesh Vadaparthi, Srinivas Yerramalle, Suresh Penumatsa
Performance Analysis of In-Network Caching in Content-Centric Advanced Metering Infrastructure
In-network caching is a key feature of content-centric networking. It is however a relatively costly mechanism with hardware requirements besides placement/replication strategies elaboration. As content-centric networkin...
Improvement of Secret Image Invisibility in Circulation Image with Dyadic Wavelet Based Data Hiding with Run-Length Coded Secret Images of Which Location of Codes are Determined with Random Number
An attempt is made for improvement of secret image invisibility in circulation images with dyadic wavelet based data hiding with run-length coded secret images of which location of codes are determined by random number....
Feature Selection and Extraction Framework for DNA Methylation in Cancer
Feature selection methods for cancer classification are aimed to overcome the high dimensionality of the biomedical data which is a challenging task. Most of the feature selection methods based on DNA methylation are tim...
An Adaptive Solution for Congestion Control in CoAP-based Group Communications
The use of lightweight devices and constrained resources like Wireless Sensors Network (WSN) makes patterns traffic in the Internet of Things (IoT) different from the ones in conventional networks. One of the most emergi...
An Emergency Unit Support System to Diagnose Chronic Heart Failure Embedded with SWRL and Bayesian Network
In all the regions of the world, heart failure is common and on raise caused by several aetiologies. Although the development of the treatment is fast, there are still lots of cases that lose their lives in emergence sec...