Color Averaging Technique using Dominant Color for Content Based Image Retrieval
Prabhakar Sharma, Deepty Dubey, Chhatrapati Shivaji · 2013
In many areas of commerce, government, academia, and hospitals, large collections of digital images are being created. Many of these collections are the product of digitization of existing analogue photographs, diagram, drawings, paintings, and prints. Usually these collections were merely searched by means of textual annotations. This huge digital image database causes the need to develop an efficient image retrieval system. Content based image retrieval CBIR has been one of the most important research area in the field of computer science. There were many CBIR techniques have been proposed in the last decade [1]. This paper provides a method for content based image retrieval using only color aspect. In this paper we regard as the dominant pixel intensity values to shrink the feature vector and performed similarity measure between pixel intensities present in both query image and database image for same positions.