International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
Image retrieval is a challenging and important research applications like digital libraries and medical image databases. C ontent-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, researchers 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.
How to cite this article:
M. Mary Helta Daisy and S. Tamil Selvi. Soft Computing Based Medical Image Retrieval Using Shape and Texture Features.
DOI: https://doi.org/10.36478/ijscomp.2014.240.245
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2014.240.245