References
- 1. Annrose, J., C. Christopher. An Efficient Image Retrieval System with Structured Query Based Feature Selection and Filtering Initial Level Relevant Images Using Range Query. – Optik, Vol. 157, 2018, pp. 1053-1064.10.1016/j.ijleo.2017.11.179
- 2. Wang, L., H. Wang. Improving Feature Matching Strategies for Efficient Image Retrieval. – Signal Process. Image Commun., Vol. 53, 2017, pp. 86-94.10.1016/j.image.2017.02.006
- 3. Fadaei, S., R. Amirfattahi, M. R. Ahmadzadeh. New Content-Based Image Retrieval System Based on Optimised Integration of DCD, Wavelet and Curvelet Features. – IET Image Processing, Vol. 11, 2017, No 2, pp. 89-98.10.1049/iet-ipr.2016.0542
- 4. Mistry, Y., D. T. Ingole, M. D. Ingole. Content Based Image Retrieval Using Hybrid Features and Various Distance Metric. – J. Electr. Syst. Inf. Technology, 2017.10.1016/j.jesit.2016.12.009
- 5. Venkatesh, B., J. Anuradha. A Review of Feature Selection and Its Methods. – Cybernetics and Information Technologies, Vol. 19, 2019, No 1, pp. 3-26.10.2478/cait-2019-0001
- 6. Cui, C., P. Lin, X. Nie, Y. Yin, Q. Zhu. Hybrid Textual-Visual Relevance Learning for Content-Based Image Retrieval. – J. Vis. Commun. Image Represent., Vol. 48, 2017, pp. 367-374.10.1016/j.jvcir.2017.03.011
- 7. Mosbah, M., B. Boucheham. Distance Selection Based on Relevance Feedback in the Context of CBIR Using the SFS Meta-Heuristic with One Round. – Egypt. Informatics J., Vol. 18, 2017, No 1, pp. 1-9.10.1016/j.eij.2016.09.001
- 8. Tamilkodi, R., G. R. N. Kumari. A Novel Approach towards Machine Learning in Image Retrieval. – Int. J. of Pure and Appl. Math., Vol. 119, 2018, No 15, pp. 1081-1097.
- 9. Shriwas, M., V. R. Raut. Content Based Image Retrieval: A Past, Present and New Feature Descriptor. – In: Proc. of Int. Conf. Circuits, Power Comput. Technol. (ICCPCT’15), 2015, pp. 1-7.10.1109/ICCPCT.2015.7159404
- 10. Fadaei, S., R. Amirfattahi, M. R. Ahmadzadeh. Local Derivative Radial Patterns: A New Texture Descriptor for Content-Based Image Retrieval. – Signal Processing, Vol. 137, 2017, pp. 274-286.10.1016/j.sigpro.2017.02.013
- 11. Naghashi, V. Co-Occurrence of Adjacent Sparse Local Ternary Patterns: A Feature Descriptor for Texture and Face Image Retrieval-Optik. – Int. J. Light Electron Opt., Vol. 157, 2018, pp. 877-889.10.1016/j.ijleo.2017.11.160
- 12. Ansari, M., M. Dixit, D. Kurchaniya, P. K. Johari. An Effective Approach to an Image Retrieval Using SVM Classifier. – International Journal of Computer Sciences and Engineering, 2018.
- 13. Pham, M. Color Texture Image Retrieval Based on Local Extrema Features and Riemannian Distance. – Journal of Imaging, Vol. 3, 2017, No 4, pp. 1-19.10.3390/jimaging3040043
- 14. Srivastava, M., J. Siddiqui, M. Atharali. Image Copy Detection Based on Local Binary Pattern and SVM Classifier. – Cybernetics and Information Technologies, Vol. 20, 2020, No 2, pp. 59-69.10.2478/cait-2020-0016
- 15. Szucs, G., D. Papp. Content-Based Image Retrieval for Multiple Objects Search. – Cybernetics and Information Technologies, Vol. 17, 2017, No 2, pp. 106-118.10.1515/cait-2017-0020
- 16. Kumar, A. Adapting Content-Based Image Retrieval Techniques for the Semantic Annotation of Medical Images. – Comput. Med. Imaging Graph., Vol. 49, 2016, pp. 37-45.10.1016/j.compmedimag.2016.01.00126890880
- 17. Alrawi, S. S., A. T. Sadiq, I. T. Ahmed. Texture Recognition Based on DCT and Curvelet Transform. – The International Arab Journal of Information Technology, 2011.
- 18. Toroitich, L., W. Cheruiyot, K. Ogada. K-Nearest Neighbour in Image Retrieval Based on Color and Texture. – International Journal of Innovative Science, Engineering and Technology, Vol. 5, 2018, No 8, pp. 8-11.
- 19. Ricardo, A., J. Joaci, D. M. Sá. LBP Maps for Improving Fractal Based Texture Classification. – Neurocomputing, Vol. 266, 2017, pp. 1-7.10.1016/j.neucom.2017.05.020
- 20. Karthikeyan, T., P. Manikandaprabhu. A Study on Discrete Wavelet Transform Based Texture Feature Extraction for Image Mining. – Int. J. Computer Technology and Applications, Vol. 5, 2014, No 5, pp. 1805-1811.
- 21. Arora, S., H. Singh, M. Sharma, S. Sharma, P. Anand. A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection. – IEEE Access, Vol. 7, 2019, pp. 26343-26361.10.1109/ACCESS.2019.2897325
- 22. Patil, D., B. Patil. Malicious URLs Detection Using Decision Tree Classifiers and Majority Voting Technique. – Cybernetics and Information Technologies, Vol. 18, 2018, No 1, pp. 11-29.10.2478/cait-2018-0002
- 23. Setiawan, R. Performance Comparison and Optimization of Text Document Classification Using Naïve Bayes Classification Techniques. – In: Proc. of 2nd International Conference on Computer Science and Computational Intelligence (ICCSCI’17), 2017, pp. 107-112.10.1016/j.procs.2017.10.017