Content based image retrieval using bees algorithm and simulated annealing approach in medical big data applications.

Content Based Image retrieval systems (CBIR) retrieve the image features from the massive databases using the retrival set [15]. The Extracted image set will be maintained in a secured repository to enhance the approach of submissive storage. The Stored image suspects a variance in the colour festo and colour shaping using the texture classification. The stored image has been retrieved formally from the massive databases using the traditional algorithms, but the secure futuristic behavior of image storage can be done from cluster formation it maintains the original copy of the image termed as cluster data image(CDI) [32]. Apart from former traditional algorithms to capture the image set features the proposed algorithm induces a novel scheme of metaheuristic algorithm named as bees algorithm has been surveyed for the retrieval sector. The efficiency can be best measured in cluster set images using the precision value measurement and the accuracy has been established with efficient diffusion algorithm based on normalization and medical applications are considered for same data set retrieval. [ABSTRACT FROM AUTHOR]