Abstract
In research field, CBIR (Content Based Image retrieval) has played a vital role. This paper deals with the realization of different approaches used in image retrieval based on content. It gives a general idea of the currently accessible literature on content based image retrieval. In CBIR, a query image is searched from larger database and an exact match image is retrieved using efficient machine learning algorithms. Different algorithms i.e. Bacteria Foraging optimization algorithm, Swarm optimization algorithm, Convoltional neural network, Firefly network, Deep Belief Network, Support vector machine and Genetic algorithm are reviewed and their performance parameters are compared.
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Kour, N., Gondhi, N. (2020). Content Based Image Retrieval Using Machine Learning Based Algorithm. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_110
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DOI: https://doi.org/10.1007/978-3-030-32150-5_110
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