Call For Paper Volume:4 Issue:10 Oct'2017 |

Image Retrieval using Sum of Histogram Bins as a Color Feature

Publication Date : 15/04/2015

Author(s) :

Dr.Ravindra Patil , Ankit Khatavkar , Asif Pathan.

Volume/Issue :
Volume 2
Issue 4
(04 - 2015)

Abstract :

The large amount of image collections available from a variety of sources have posed increasing technical challenges to computer systems to store/transmit and index/manage the image data to make such collections easily accessible. Here to search and retrieve the expected images from the database we need Content Based Image Retrieval (CBIR) system. CBIR extracts the features of query image and try to match them with the extracted features of images in the database. Then based on the similarity measures and threshold the best possible candidate matches are given as result. This paper describe a novel & effective approach to content based image retrieval that represent each image in database by a vector of feature values called “Image Retrieval using Histogram Bins Color Feature”. Proposed method is a simple and new which can be easily implemented in a programming language. In this technique sum of value of histogram bins used as a feature vector of image. This classifier is well suitable for features extracted and fast in computation for CBIR systems. Three color planes and two distance measures are used to compare the result. Simple Euclidean Distance and Bray Curtis Distance are used to compute the similarity measures of images for Content Based Image Retrieval application. This technique gives acceptable results in a simple and fast way.

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Image Retrieval using Sum of Histogram Bins as a Color Feature

April 13, 2015