Journal
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Volume 7, Issue 12, Pages 3149-3165Publisher
KSII-KOR SOC INTERNET INFORMATION
DOI: 10.3837/tiis.2013.12.011
Keywords
Feature extraction; hamming distance; image coding; image indexing; least square polynomial; matching; max-min mean; precision; recall; searching
Ask authors/readers for more resources
Content based image retrieval is increasingly gaining popularity among image repository systems as images are a big source of digital communication and information sharing. Identification of image content is done through feature extraction which is the key operation for a successful content based image retrieval system. In this paper content based image retrieval system has been developed by adopting a strategy of combining multiple features of shape, color and relevance feedback. Shape is served as a primary operation to identify images whereas color and relevance feedback have been used as supporting features to make the system more efficient and accurate. Shape features are estimated through second derivative, least square polynomial and shapes coding methods. Color is estimated through max-min mean of neighborhood intensities. A new technique has been introduced for relevance feedback without bothering the user.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available