Title :
Image Retrieval Using Interactive Genetic Algorithm
Author :
Dass, M. Venkat ; Ali, Md Mortuza ; Ali, Mohammed Rahmath
Author_Institution :
Dept. of CSE, Osmania Univ., Hyderabad, India
Abstract :
In recent years, with the development of digital image techniques and digital albums in the Internet, the use of digital image retrieval process has increased dramatically. An image retrieval system is a computer system for browsing, searching and retrieving images from large databases of digital images. In order to increase the accuracy of image retrieval, a content-based image retrieval system(CBIR) 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. The experimental evaluation of the system is based on a 10000 WANG color image database. Experimental results demonstrate the feasibility of the proposed approach.
Keywords :
content-based retrieval; edge detection; feature extraction; genetic algorithms; image colour analysis; image retrieval; image texture; visual databases; 10000 WANG color image database; CBIR; IGA; Internet; computer system; content-based image retrieval system; digital album; digital image retrieval process; image browsing; image color; image edge; image identification; image searching; image texture; interactive genetic algorithm; large database; primitive low level image descriptors; query image feature descriptor extraction; query stage; similarity evaluation; Genetic algorithms; Image color analysis; Image edge detection; Image retrieval; Sociology; Statistics; content based image retrieval; human-machine interaction; interactive genetic algorithm; low-level descriptors;
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/CSCI.2014.44