Automatic Scheme for Fused Medical Image Segmentation with Nonsubsampled Contourlet Transform

Abstract

Medical image segmentation has become an essential technique in clinical and research- oriented applications. Because manual segmentation methods are tedious, and semi-automatic segmentation lacks the flexibility, fully-automatic methods have become the preferred type of medical image segmentation. This work proposes a robust fully automatic segmentation scheme based on the modified contouring technique. The entire scheme consists of three stages. In the first stage, the Nonsubsampled Contourlet Transform (NSCT) of image is computed. This is followed by the fusion of coefficients using fusion method. For that fused image local threshold is computed. This is followed by the second stage in which the initial points are determined by computation of global threshold. Finally, in the third stage, searching procedure is started from each initial point to obtain closed-loop contours. The whole process is fully automatic. This avoids the disadvantages of semi-automatic schemes such as manually selecting the initial contours and points.

Authors and Affiliations

Ch. Bindu, Dr. K. Prasad

Keywords

Related Articles

Sentiment Analysis Using Deep Learning Techniques: A Review

The World Wide Web such as social networks, forums, review sites and blogs generate enormous heaps of data in the form of users views, emotions, opinions and arguments about different social events, products, brands, and...

Multi Agent Architecture for Search Engine

The process of retrieving information is becoming ambiguous day by day due to huge collection of documents present on web. A single keyword produces millions of results related to given query but these results are not up...

Classifying Cardiotocography Data based on Rough Neural Network

Cardiotocography is a medical device that monitors fetal heart rate and the uterine contraction during the period of pregnancy. It is used to diagnose and classify a fetus state by doctors who have challenges of uncertai...

Improved Accuracy of PSO and DE using Normalization: an Application to Stock Price Prediction

Data Mining is being actively applied to stock market since 1980s. It has been used to predict stock prices, stock indexes, for portfolio management, trend detection and for developing recommender systems. The various al...

Crowd-Generated Data Mining for Continuous Requirements Elicitation

In software development projects, the process of requirements engineering (RE) is one in which requirements are elicited, analyzed, documented, and managed. Requirements are traditionally collected using manual approache...

Download PDF file
  • EP ID EP161312
  • DOI -
  • Views 69
  • Downloads 0

How To Cite

Ch. Bindu, Dr. K. Prasad (2012). Automatic Scheme for Fused Medical Image Segmentation with Nonsubsampled Contourlet Transform. International Journal of Advanced Computer Science & Applications, 3(10), 50-53. https://europub.co.uk/articles/-A-161312