Content-Based Image Retrieval Using Rectangular Segmentation
Inhaltsverzeichnis
Referenz
Chi-Man Pun and Chan-Fong Wong: Content-Based Image Retrieval Using Rectangular Segmentation. International Journal of Computers, Vol.2, No.1, pp.72-79, 2008
DOI
Abstract
In this paper, we present a new framework for effective content-based image retrieval (CBIR) based on rectangular segmentation. In image segmentation, speed is more important than accuracy in CBIR. We propose a new rectangular approximate image segmentation to solve the problem. We also develop a significance function to reflect the importance of different position in image, and improve the segmentation and retrieval performance. Finally, we present a similarity measure between images with multi-objects. Experimental results show that the proposed method is more efficient and achieves higher precision on image retrieval of a large dataset.
Extended Abstract
Bibtex
@inproceedings{Wong:2008:CIR:1404086.1404100,
author = {Wong, Chan-Fong and Pun, Chi-Man},
title = {Content-based Image Retrieval Based on Rectangular Segmentation},
booktitle = {Proceedings of the 7th WSEAS International Conference on Signal Processing},
series = {SIP'08},
year = {2008},
isbn = {978-960-6766-66-4},
location = {Istanbul, Turkey},
pages = {75--80},
numpages = {6},
url = {http://dl.acm.org/citation.cfm?id=1404086.1404100 http://de.evo-art.org/index.php?title=Content-Based_Image_Retrieval_Using_Rectangular_Segmentation },
acmid = {1404100},
publisher = {World Scientific and Engineering Academy and Society (WSEAS)},
address = {Stevens Point, Wisconsin, USA},
keywords = {color quantization, color similarity, image retrieval, image segmentation, rectangular segmentation},
}
Used References
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Links
Full Text
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