Open AccessReview on Medical Image Retrieval Based on Wavelet, Bag of Features and Relevance Feedback
Author(s) -
Syed Tanzeem Ahmed,
Nikhat Raza
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2062162
Subject(s) - computer science , hash function , relevance feedback , coding (social sciences) , relevance (law) , image retrieval , feature (linguistics) , artificial intelligence , information retrieval , pattern recognition (psychology) , image (mathematics) , data mining , mathematics , linguistics , statistics , philosophy , computer security , political science , law
Technological advances have evolved in all the directions including the biomedical, because of which a record number of lives are saved every day. The advancement has now surpassed the tools level, now the doctors with the help of new tools can also detect diseases, which saves the response time. In this paper, we will work on one such technique which will help in retrieving the similar type of images with the help of their features. In this paper, the features such as Texture features, LBP features, Retrieval feature, which are processed with hash coding and relevance feedback to get the final results. The framework provides the output utilizing a hash coding classifiers which predict the image from the database of the images. The images are classified on a global level with the help of multiple low-level features.