1. An approach for retrieving an image using genetic algorithm
Authors : R Shiva Shankar, K Sravani, L V Srinivas, D Ravibabu
Pages : 57-64
DOI : http://dx.doi.org/10.21172/1.92.10
Keywords : CBIR-Content based Image retrieval, GA-Genetic Algorithm, Feature Selection, fusion of color texture. Abstract :The use of digital image retrieval process has escalated dramatically. This System is used to for retrieving images from large databases. So, the problems of image retrieval are becoming widely recognized. In order to increase the accuracy of image retrieval, a technology generally referred to as content-based Image retrieval (CBIR) is proposed. We proposed an image extractor method using genetic algorithm on multi feature similarity synthesis extended by using relevance feedback methods to magnify retrieval performance. Here the similarity measure is performed between the query image features and the database image features. The CBIR systems do not have potential to efficiently allied with human perception. The experimental result shows feature selection using Genetic algorithm reduces the time for retrieval and also increases the retrieval precision, thus it gives better and faster results as compared to traditional methods of image indexing techniques using features like color, texture and fusion of color-texture feature similarity score with equal weights.
Citing this Journal Article :R Shiva Shankar, K Sravani, L V Srinivas, D Ravibabu, "An approach for retrieving an image using genetic algorithm", Volume 9 Issue 2 - November 2017, 57-64
Click here to Submit Copyright Takedown Notice for this article.