Markov chain latent space probabilistic for feature optimization along with Hausdorff distance similarity matching in content-based image retrieval

References

• Rehman M, Iqbal M, Sharif M, et al. Content based image retrieval: survey. World Appl Sci J. 2012;19(3):404–412.
   Google Scholar
• Nair LR, Subramaniam K, Prasanna Venkatesan GKD, et al. Essentiality for bridging the gap between low and semantic level features in image retrieval systems: an overview. J Ambient Intell Human Comput. 2021;12:5917–5929. doi:10.1007/s12652-020-02139-z.
   Web of Science ®Google Scholar
• Jayanthi J, Laxmi Lydia E, Krishnaraj N, et al. An effective deep learning features based integrated framework for iris detection and recognition. J Ambient Intell Human Comput. 2021;12:3271–3281. doi:10.1007/s12652-020-02172-y.
   Web of Science ®Google Scholar
• Zhang H, Su Z. Relevance feedback in CBIR. In: Working conference on visual database systems. Boston (MA): Springer; 2002 May. p. 21–35.
   Google Scholar
• Ashraf R, Ahmed M, Jabbar S, et al. Content based image retrieval by using color descriptor and discrete wavelet transform. J Med Syst. 2018;42(3):44.
   PubMed Web of Science ®Google Scholar
• Saadatmand-Tarzjan M, Moghaddam HA. A novel evolutionary approach for optimizing content-based image indexing algorithms. IEEE Trans Syst Man Cybern Part B Cybern. 2007;37(1):139–153.
   PubMed Web of Science ®Google Scholar
• Zhao T, Lu J, Zhang Y, et al. Feature selection based on genetic algorithm for CBIR. In: 2008 Congress on Image and Signal Processing (Vol. 2, p. 495–499). IEEE, May 2008.
   Google Scholar
• Latif A, Rasheed A, Sajid U, et al. Content-based image retrieval and feature extraction: a comprehensive review. Math Probl Eng. 2019;2019:1–21.
   Web of Science ®Google Scholar
• Hiremath PS, Shivashankar S, Pujari J. Wavelet based features for color texture classification with application to CBIR. Int J Comput Sci Network Secur. 2006;6(9A):124–133.
   Google Scholar
• Muneesawang P, Guan L. A neural network approach for learning image similarity in adaptive CBIR. In: 2001 IEEE fourth workshop on multimedia signal processing (Cat. No. 01TH8564). IEEE; 2001 Oct. p. 257–262.
   Google Scholar
• Baig F, Mehmood Z, Rashid M, et al. Boosting the performance of the BoVW model using SURF–CoHOG-based sparse features with relevance feedback for CBIR. Iranian J Sci Technol Trans Electr Eng. 2020;44(1):99–118.
   Web of Science ®Google Scholar
• Arjunan RV, Kumar VV. Image classification in CBIR systems with color histogram features. In: 2009 international conference on advances in recent technologies in communication and computing. IEEE; 2009 Oct. p. 593–595.
   Google Scholar
• Sheryl Oliver A, Anuratha M, Jean Justus M, et al. An efficient coding network based feature extraction with support vector machine based classification model for CT lung images. J Med Imaging Health Inf. 2020;10(11):2628–2633.
   Web of Science ®Google Scholar
• Li JS, Liu IH, Tsai CJ, et al. Secure content-based image retrieval in the cloud with key confidentiality. IEEE Access. 2020;8:114940–114952.
   Web of Science ®Google Scholar
• Banharnsakun A. Artificial bee colony algorithm for content based image retrieval. Comput Intell. 2020;36(1):351–367.
   Web of Science ®Google Scholar
• Alsmadi MK. Content-based image retrieval using color: shape and texture descriptors and features. Arab J Sci Eng. 2020:1–14.
   PubMed Web of Science ®Google Scholar
• Garg M, Dhiman G. A novel content based image retrieval approach for classification using GLCM features and texture fused LBP variants. Neural Comput Appl. 2020;33.
   Web of Science ®Google Scholar
• Dakua SP. Use of chaos concept in medical image segmentation. Comput Methods Biomechan Biomed Eng Imaging Visualization. 2013;1:28–36.
   Google Scholar
• Dakua SP. LV segmentation using stochastic resonance and evolutionary cellular automata. Int J Pattern Recognit Artif Intell. 2015;29(3):1–26.
   Web of Science ®Google Scholar
• Dakua SP. Towards left ventricle segmentation from magnetic resonance images. IEEE Sensors J. 2017;17(18):5971–5981.
   Web of Science ®Google Scholar
• Dakua SP, Abinahed J, Al-Ansari AA. Pathological liver segmentation using stochastic resonance and cellular automata. J Vis Commun Image Represent. 2016;34:89–102.
   Web of Science ®Google Scholar
• Dakua SP, Abinahed J, Al-Ansari AA. A PCA-based approach for brain aneurysm segmentation. Multidimension Syst Signal Process. 2018;29:257–277.
   Web of Science ®Google Scholar
• Subramanian M. Content-based image retrieval using colour, gray, advanced texture, shape features, and random forest classifier with optimized particle swarm optimization. Int J Biomed Imaging. 2022;2022:1–14.
   Web of Science ®Google Scholar
• Öztürk Ş, Celik E, Cukur T. Content-based medical image retrieval with opponent class adaptive margin loss. Image Video Process. 2022;30.
   Google Scholar
• Öztürk Ş. Hash code generation using deep feature selection guided Siamese network for content-based medical image retrieval. Gazi Univ J Sci. 2021;34(3):733–746. doi:10.35378/gujs.710730.
   Web of Science ®Google Scholar
• Öztürk Ş. Class-driven content-based medical image retrieval using hash codes of deep features. Biomed Signal Process Control. 2021;68:102601.
   Web of Science ®Google Scholar
• Öztürk Ş. Convolutional neural network based dictionary learning to create hash codes for content-based image retrieval. Procedia Comput Sci. 2021;183:624–629.
   Google Scholar
• Buvana M. Content-based image retrieval based on hybrid feature extraction and feature selection technique pigeon inspired based optimization. Ann Rom Soc Cell Boil. 2021;25(1).
   Google Scholar
• Mohammed HR. Improved fuzzy c-mean algorithm for image segmentation. Int J Adv Res Artif Intell. 2016;5(6):7–10.
   Google Scholar