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Vol. 5  No. 1 (2019) · Articles

SUPPORT VECTOR MACHINE (SVM) BASED IN CBIR SYSTEM USING QUERYING IMAGE DATA-BASE

Miss Vanita M. Yadao
PG Student, Sant Gadge Baba Amravati University, Amravati (M.S.) Department of Electronic & Telecommunication Engineering , IN

Asst. Prof. Ashish B. Kharate
PG Student, Sant Gadge Baba Amravati University, Amravati (M.S.) Department of Electronic & Telecommunication Engineering , IN

📅 Published: January 2019

Keywords: MATLAB, Data Source: Bunch of Images, support vector machine (SVM)

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Abstract

In this paper we SVM (Support Vector Machine) technique for the purpose of retrieval of images similar to the image in the query. In this paper we primarily present the necessity or importance of support vector machine. The content based image retrieval techniques is the retrieval of images based on visual features such as color and texture Due to the enormous increase in image database size as well as its vast deployment in various applications . For example all users would like to get their desired result in the first time on the web, possibility of consuming a lot of time while searching for the results. In this paper we contemplate over the mechanism of support vector machine.

How to Cite

Miss Vanita M. Yadao, Asst. Prof. Ashish B. Kharate, “SUPPORT VECTOR MACHINE (SVM) BASED IN CBIR SYSTEM USING QUERYING IMAGE DATA-BASE,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 5, no. 1, pp. 86-89, January 2019.

References

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