Research Article
An Intelligent Multi-resolution and Co-occuring local pattern generator for Image Retrieval
@ARTICLE{10.4108/eai.10-6-2019.159344, author={Shikha Bhardwaj and Gitanjali Pandove and Pawan Kumar Dahiya}, title={An Intelligent Multi-resolution and Co-occuring local pattern generator for Image Retrieval}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={6}, number={22}, publisher={EAI}, journal_a={SIS}, year={2019}, month={6}, keywords={Gray level co-occurence matrix, Discrete wavelet transform, Content-based Image retrieval, Extreme learning machine, Relevance feedback, Brodatz dataset, MIT-Vistex Dataset}, doi={10.4108/eai.10-6-2019.159344} }- Shikha Bhardwaj
Gitanjali Pandove
Pawan Kumar Dahiya
Year: 2019
An Intelligent Multi-resolution and Co-occuring local pattern generator for Image Retrieval
SIS
EAI
DOI: 10.4108/eai.10-6-2019.159344
Abstract
Content-based image retrieval (CBIR) is a methodology used to search indistinguishable images across any vast repository. Texture, Color and Shape are among the most prominent features of any CBIR system. Two texture descriptors namely Gray level Co-occurence matrix (GLCM) and Discrete wavelet transform (DWT) have been utilized here for the formation of a hybrid texture descriptor, denoted as (Co-DGLCM). To enhance the retrieval accuracy of the proposed system, a framework of an Extreme learning machine (ELM) with Relevance feedback (RF) has also been used. This technique provides simultaneously spatial relationship and information related to frequency in co-occuring local patterns of an image. Two benchmark texture databases namely Brodatz and MIT-Vistex have been tested and results are obtained in terms of accuracy, total average recall and total average precision which is 96.35% and 97.34% respectively on the two databases.
Copyright © 2019 Shikha Bhardwaj et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
