RAMESH BABU DURAI C and Dr.V.DURAISAMY (2010) A GENERIC APPROACH TO CONTENT BASED IMAGE RETRIEVAL USING DCT AND CLASSIFICATION TECHNIQUES

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A GENERIC APPROACH TO CONTENT BASED IMAGE RETRIEVAL USING DCT AND CLASSIFICATION TECHNIQUES

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CONTRIBUTORS:

	Author:	RAMESH BABU DURAI C
	Author:	Dr.V.DURAISAMY

JOURNAL:

International Journal on Computer Science and Engineering (IJCSE), 2(5), 2022 - 2024.

YEAR:

2010

PUB TYPE:

Journal Article

SUBJECT(S):

CBIR, Datamining, DCT, IB1, Nave Bayesian, Random tree, Brain images.

DISCIPLINE:

Computer Science

HTTP:

http://www.enggjournals.com/ijcse/doc/IJCSE10-02-06-47.pdf

LANGUAGE:

English

PUB ID:

103-488-694 (Last edited on 2011/06/12 05:24:15 GMT-6)

SPONSOR(S):

ABSTRACT:
With the rapid development of technology, the traditional information retrieval techniques based on keywords are not sufficient, content - based image retrieval (CBIR) has been an active research topic.Content Based Image Retrieval (CBIR) technologies provide a method to find images in large databases by using unique descriptors from a trained image. The ability of the system to classify images based on the training set feature extraction is quite challenging. In this paper we propose to extract features on MRI scanned brain images using Discrete cosine transform and down sample the extracted features by alternate pixel sampling. The dataset so created is investigated using WEKA classifier to check the efficacy of various classification algorithms on our dataset. Results are promising and tabulated.

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