Research Article Open Access

SOFT COMPUTING BASED MEDICAL IMAGE RETRIEVAL USING SHAPE AND TEXTURE FEATURES

M. Mary Helta Daisy1 and S. Tamil Selvi2
  • 1 Department of E.C.E, St. Xavier’s Catholic College of Engineering, Chunkankadai, India
  • 2 Department of E.C.E, National Engineering College, Kovilpatti, India

Abstract

Image retrieval is a challenging and important research applications like digital libraries and medical image databases. Content-based image retrieval is useful in retrieving images from database based on the feature vector generated with the help of the image features. In this study, we present image retrieval based on the genetic algorithm. The shape feature and morphological based texture features are extracted images in the database and query image. Then generating chromosome based on the distance value obtained by the difference feature vector of images in the data base and the query image. In the selected chromosome the genetic operators like cross over and mutation are applied. After that the best chromosome selected and displays the most similar images to the query image. The retrieval performance of the method shows better retrieval result.

American Journal of Applied Sciences
Volume 11 No. 2, 2014, 258-265

DOI: https://doi.org/10.3844/ajassp.2014.258.265

Submitted On: 6 October 2013 Published On: 24 December 2013

How to Cite: Daisy, M. M. H. & Selvi, S. T. (2014). SOFT COMPUTING BASED MEDICAL IMAGE RETRIEVAL USING SHAPE AND TEXTURE FEATURES. American Journal of Applied Sciences, 11(2), 258-265. https://doi.org/10.3844/ajassp.2014.258.265

  • 1,744 Views
  • 1,953 Downloads
  • 0 Citations

Download

Keywords

  • Medical Image
  • Genetic Algorithm
  • Image Retrieval