期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：23
期号：1
页码：16-21
DOI：10.14445/22312803/IJCTT-V23P104
出版社：Seventh Sense Research Group
摘要：Image processing is one of the methods to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. The volume of digital images generated and uploaded on the internet are very large. The major problem is retrieving the desired images from huge collection of images. To improve the retrieval performance an accurate and efficient system is required. Content based image retrieval technique has been a very useful system. Today content based image retrieval is a required concept, while dealing with multiple activities daily today either with computer or web or mobile we often need to query the database to find efficient required output in short time. In this paper we are proposing a hybrid approach which is the combination of genetic and Bayesian algorithm which giving us the better results in some aspects which overcomes the disadvantages of the existing algorithm and find its suitable in point of efficiency and accuracy. For the valuation of result two standard parameters one is Recall and another is Precision are used which shows better value in comparing to other retrieval algorithms.
