Relative Examination of Texture Feature Extraction Techniques in Image Retrieval Systems by Employing Neural Network: An Experimental Review-Reference-Cited by-同舟云学术

Relative Examination of Texture Feature Extraction Techniques in Image Retrieval Systems by Employing Neural Network: An Experimental Review

Published:2020-07-02 Issue: Volume: Page:337-349
ISSN:2194-5357
Container-title:Proceedings of International Conference on Artificial Intelligence and Applications
language:
Short-container-title:

Author:

Dhingra Shefali,Bansal Poonam

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-4992-2_32

Reference26 articles.

1. P. Sharma, Improved shape matching and retrieval using robust histograms of spatially distributed points and angular radial transform. Optik 145, 346–364 (2017)

2. K. Hemachandran, A. Paul, M. Singha, Content-based image retrieval using the combination of the fast wavelet transformation and the colour histogram. IET Image Process. 6, 1221–1226 (2012)

3. S. Murala, R.P. Maheshwari, R. Balasubramanian, Local tetra patterns: a new feature descriptor for content-based image retrieval. Int. J. Multim. Inf. Retriev. 191–203 (2012)

4. S. Dhingra, P. Bansal, An overview on the progress of content based image retrieval systems: from 1990’s to 2000’s, in Proceedings of 5th International IEEE Conference on Computing for Global Sustainable Development, INDIACOM (2018)

5. S. Fadaei, R. Amirfattahi, M.R. Ahmadzadeh, A new content-based image retrieval system based on optimized integration of DCD, wavelet and curvelet features. IET Image Process. 1–19 (2017)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving the Efficiency of Semantic Image Retrieval Using a Combined Graph and SOM Model;IEEE Access;2023

2. Image Retrieval Using Neural Networks for Word Image Spotting—A Review;Lecture Notes in Networks and Systems;2022-11-10

3. Integrating CNN along with FAST descriptor for accurate retrieval of medical images with reduced error probability;Multimedia Tools and Applications;2022-10-05

4. A Review on Machine Learning-Based WBCs Analysis in Blood Smear Images: Key Challenges, Datasets, and Future Directions;Studies in Big Data;2022

5. Virtual Reality Video Image Classification Based on Texture Features;Complexity;2021-05-17