Review on Medical Image Retrieval Based on Wavelet, Bag of Features and Relevance Feedback

Authors

  • Syed Tanzeem Ahmed  Resarch Scholar, Department of CSE, M.P.U Bhopal, Madhya Pradesh, India
  • Dr. Nikhat Raza  Professor, Department of CSE, M P.U Bhopal, Madhya Pradesh, India

DOI:

https://doi.org/10.32628/CSEIT2062162

Keywords:

Wavelet, Relevance Feedback, Feature Extraction

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-06-30

Issue

Volume 6, Issue 3, May-June-2020

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Syed Tanzeem Ahmed, Dr. Nikhat Raza, " Review on Medical Image Retrieval Based on Wavelet, Bag of Features and Relevance Feedback" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.649-653, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT2062162