Segmentation of Liver CT Images

Abstract

In this paper we propose a method for automated liver segmentation from CT images that is invariant in terms of size, shape and intensity values. The system consists of two stages. In the first stage of the computerized system, the CT liver image is acquired and pre-processing is done to remove the noise and to enhance the image. In the second stage, liver region is segmented from the liver CT image. Experimental results show that our propose technique segments the liver region with accuracy.

Authors and Affiliations

M. A. Alagdar, M. E. Morsy, M. M. Elzalabany

Keywords

Related Articles

A Novel Current Control Technique For A Three-Phase Statcom

This paper proposes an advanced control strategy to enhance performance of shunt active power filter (APF). The proposed control scheme requires only two current sensors at the supply side and does not need a harmonic d...

Method & Implementation Of Constructing A Backup Method For Mitigating Fault In Manets

A mobile ad hoc network (MANET) is a continuously self-configuring, infrastructure-less formed by the dynamic gathering of mobile nodes. The biggest challenge among them is routing. Routing is the process of path in a n...

Forward and Backward Sweep Algorithm for Distribution Power Flow Analysis and Comparison of Different Load Flow Methods.

Power flow analysis is a very important and fundamental tool for the analysis of any electrical distribution system and is used in the operational as well as planning stages. Certain applications particularly in distrib...

A Survey on Video Watermarking Method for Reliability and Security in Video Using Least Significant Bit

Digital watermarking techniques have fastest growing techniques for copyright protection and authentication. Digital watermarking field has so many articles which covers innovative approach. Hence, watermarking is a sol...

Thermodynamic Analysis of Combined ORC-VCR System Using Low Grade Thermal Energy

The world is facing energy and environmental challenges due to population growth and economy development. The utilization of renewable energy can significantly contribute to reduction in consumption of conventional ener...

Download PDF file
  • EP ID EP21251
  • DOI -
  • Views 228
  • Downloads 5

How To Cite

M. A. Alagdar, M. E. Morsy, M. M. Elzalabany (2015). Segmentation of Liver CT Images. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(9), -. https://europub.co.uk/articles/-A-21251