CONTENT BASED IMAGE RETRIEVAL USING NUMERICAL SHARING OF COLOR HISTOGRAM METHOD

Abstract

Content based image retrieval is aimed at efficient retrieval of relevant images from large image databases
based on automatically derived imagery features. These features are typically extracted from shape, texture or color
properties of query image and the images in the database (target images). The relevance between the query image and any
target image is ranked according to a similarity measure computed from the features.
This research paper makes a Content based image retrieval scheme with an enhanced algorithm. In this paper, I
propose a new method by approximating the statistical distribution of color histogram for image indexing and comparison
and the method is called “Content Based Image Retrieval by Statistical Distribution of Color Histogram Method”. This
research work is developed in IDL 6.3 for its better support in digital image processing.