Modeling Multiple Visual Words Assignment for Bag-of-Features based Medical Image Retrieval

2012 ◽  
Author(s):  
Jingyan Wang ◽  
Islam Almasri
Keyword(s):  
Image Retrieval ◽  
Medical Image ◽  
Visual Words ◽  
Medical Image Retrieval ◽  
Bag Of Features

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

2020 ◽  
pp. 649-653
Author(s):  
Syed Tanzeem Ahmed ◽  
Dr. Nikhat Raza
Keyword(s):  
Response Time ◽  
Image Retrieval ◽  
Relevance Feedback ◽  
Medical Image ◽  
Texture Features ◽  
Similar Type ◽  
Global Level ◽  
Medical Image Retrieval ◽  
Bag Of Features ◽  
Technological Advances

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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