@article{MAKHILLIJSC20149421210,
    title = {Soft Computing Based Medical Image Retrieval Using Shape and Texture Features},
    journal = {International Journal of Soft Computing},
    volume = {9},
    number = {4},
    pages = {240-245},
    year = {2014},
    issn = {1816-9503},
    doi = {ijscomp.2014.240.245},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2014.240.245},
    author = {M. Mary Helta and},
    keywords = {Medical image,Genetic algorithm,image retrieval,query image,query image,data},
    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.}
    }