Analysis of Image Retrieval using Hybrid Texture and Shape based Feature Vectors
Main Article Content
Abstract
Content based image retrieval system is required so as to improve the retrieval of images from large web based and other various types of databases. With the increased importance of digital data, the production of image and video information has resulted in a large amount of images and videos that needs to be properly indexed for retrieval in the future. Various databases contain a large number of images, videos etc for which Content-Base retrieval systems or applications are greatly needed. To date, a number of methods and algorithms have been proposed by researchers from around the world to meet this challenge. This paper presents a literature review of such researches and a modified approach.
Article Details
How to Cite
, A. M. S. C. D. M. D. D. A. S. (2016). Analysis of Image Retrieval using Hybrid Texture and Shape based Feature Vectors. International Journal on Recent and Innovation Trends in Computing and Communication, 4(12), 200–205. https://doi.org/10.17762/ijritcc.v4i12.2697
Section
Articles