INFORMATION CHANGE THE WORLD

International Journal of Modern Education and Computer Science (IJMECS)

ISSN: 2075-0161 (Print), ISSN: 2075-017X (Online)

Published By: MECS Press

IJMECS Vol.5, No.10, Nov. 2013

A New Method for Content based Image Retrieval using Primitive Features

Full Text (PDF, 361KB), PP.36-42


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Author(s)

S.Maruthuperumal,G. Rosline Nesa Kumari

Index Terms

Image retrieval, Color, Shape, Gradient Edge

Abstract

The diminishing expenditure of consumer electronic devices such as digital cameras and digital camcorders along with ease of transportation facilitated by the internet, has lead to a phenomenal rise in the quantity of multimedia data. The need to find a desired image from a collection is shared by many professional groups, including journalists, design engineers and art historians. While the requirements of image users, it can be characterize image queries into three levels. The proposed method based on primitive features such as color and shapes. These features are extracted and used as the basis for a similarity check between images. The shape and color features are extracted through Gradient Edge Detection and color histogram the combination of these features is robust. The experiment results show that the proposed image retrieval is more efficient and effective in retrieving the user interested images.

Cite This Paper

S.Maruthuperumal,G. Rosline Nesa Kumari,"A New Method for Content based Image Retrieval using Primitive Features", IJMECS, vol.5, no.10, pp.36-42, 2013.DOI: 10.5815/ijmecs.2013.10.05

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