International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
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Call for Paper, Published Articles, Indexing Infromation An Efficient Brain Image Segmentation based on Gradient Based Watershed transform in Level set method and classification using shape features for a medical diagnosis system, Authors : Md. Ejaz Ahamed, Dr.M.Narayana, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 7, Issue 1, January 2018

Title:
An Efficient Brain Image Segmentation based on Gradient Based Watershed transform in Level set method and classification using shape features for a medical diagnosis system
Author Name:
Md. Ejaz Ahamed, Dr.M.Narayana
Abstract:
ABSTRACT We propose a simple, fast, robust and efficient technique to extract the skeleton based shape signatures for the brain image classification for a medical diagnosis system. The Improved Brain image classification system uses five shape features- two features have derived from combination of skeleton, region, and boundary information and the other three have been derived from distance mapped functional(level contours). All these shape features exhibit invariance to rotation and scaling. Brain image classification is one of the utmost imperative parts of clinical investigative tools. Brain images typically comprise noise, inhomogeneity and sometimes deviation. Therefore, precise segmentation of brain images is a very challenging task. Nevertheless, the process of perfect segmentation of these images is very important and crucial for a spot-on diagnosis by clinical tools. This research presents a more accurate segmentation using Gradient Based watershed transform in level set method for a medical diagnosis system. Experimental results proved that our method validating a much better rate of segmentation accuracy as compare to the traditional approaches, results are also validated in terms of the proposed five shape signatures
Cite this article:
Md. Ejaz Ahamed, Dr.M.Narayana , " An Efficient Brain Image Segmentation based on Gradient Based Watershed transform in Level set method and classification using shape features for a medical diagnosis system " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 7, Issue 1, January 2018 , pp. 001-014 , ISSN 2319 - 4847.
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