Volume : 6, Issue : 1, January - 2017

A STUDY ON RECOUPING IMAGES WITH INTERACTIVE GENETIC ALGORITHM AND DIGITAL IMAGE PROCESSING

Brajesh Kumar, Santosh Kumar

Abstract :

<p>&nbsp;<b style="text-align: justify;"><span style="font-size: 10pt; line-height: 115%; font-family: &quot;Times New Roman&quot;, serif;">For last few years, with the development of digital image techniques and digital album on the Internet, the use of digital image retrieval process has increased widely. An image retrieval system is a computer system for owsing, searching and retrieving images from huge databases of digital images. In order to increase the accuracy of image retrieval, an intent-based image retrieval system(IBIR) based on interactive genetic algorithm (IGA) is proposed. Color, texture and edge have been the primitive low level image descriptors in content based image retrieval systems. In this paper we proposed a system that splits the retrieval process into two stages. In the query stage, the feature descriptors of a query image were extracted and then used to evaluate the similarity between the query image and those images in the database. In the evolution stage, the most relevant images were retrieved by using the IGA. IGA is employed to help the users identify the images that are most satisfied to the users need.</span></b>< /> <b><span style="font-size: 10pt; line-height: 115%; font-family: &quot;Times New Roman&quot;, serif;">< clear="all" style="page-eak-before:always;mso-eak-type:section-eak" /> </span></b></p>