Academic Journals Database
Disseminating quality controlled scientific knowledge

Image Tiling to Improve Performance of Image Retrieval Using Color Averaging Techniques

ADD TO MY LIST
 
Author(s): Dr. H.B.Kekre | Sudeep D. Thepade | Akshay Maloo

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: CASCT;
Issue: 2;
Start page: 42;
Date: 2010;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: CBIR | Image Tiling | row mean | column mean | diagonal mean

ABSTRACT
The research in content based image retrieval has always beennurtured because of the thirst for better and faster image retrievaltechniques. Reducing the feature vector size for faster imageretrieval and till achieving better performance is herculean task.The paper presents 24 novel image retrieval techniques usingcolor averaging methods on row mean, column mean, forwarddiagonal mean, backward diagonal mean, row & column mean,forward & backward diagonal mean, four tiles, sixteen tiles and64 tiles of image. The proposed CBIR techniques are tested ongeneric image database having 1000 images spread across 11categories and COIL image database having 1080 images spreadacross 15 categories. For each proposed CBIR technique 75queries (5 per category) are fired on the generic image databaseand 55 queries (5 per category) are fired on the COIL imagedatabase. To compare the performance of image retrievaltechniques average precision and recall are computed of allqueries. The results have shown the performance improvement(higher precision and recall values) with proposed methodscompared to all pixel data of image at reduced computationsresulting in faster retrieval
Why do you need a reservation system?      Save time & money - Smart Internet Solutions