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Inhaltsverzeichnis
Referenz
M. Antonelli , S. G. Dellepiane and M. Goccia: Design and implementation of Web-based systems for image segmentation and CBIR. IEEE Trans. Instrum. Meas., vol. 55, no. 6, pp. 1869-1877, 2006
DOI
http://dx.doi.org/10.1109/TIM.2006.884286
Abstract
This paper is focused on the design and development of an architecture that is able to provide remote segmentation service to various kinds of images or applications. The system exploits the functionalities offered by the already existing desktop application Isocontour by extending its capabilities toward a client-server environment. In order to achieve this goal, the original Isocontour code has been decomposed to independent modules for processing, storing, and representing purposes. By using the created server components, a web application has been developed to demonstrate how to make the fuzzy image-segmentation service highly available through the Internet. Furthermore, by exploiting the same architecture seen for the Isocontour algorithm, a remote content-based retrieval service for image databases was implemented in order to show the adaptability of this web-based system. Performance evaluation in terms of processing times with different image sizes has been performed in order to compare the web-based solution with the stand-alone one and to prove the reliability of the proposed system
Extended Abstract
Bibtex
@ARTICLE{4014683,
author={M. Antonelli and S. G. Dellepiane and M. Goccia},
journal={IEEE Transactions on Instrumentation and Measurement},
title={Design and Implementation of Web-Based Systems for Image Segmentation and CBIR},
year={2006},
volume={55},
number={6},
pages={1869-1877},
keywords={Internet;content-based retrieval;fuzzy systems;image segmentation;CBIR;Isocontour;content based image retrieval;fuzzy connectivity;image segmentation;remote segmentation;web based systems;Application software;Content based retrieval;Helium;Image databases;Image retrieval;Image segmentation;Information retrieval;Performance evaluation;Web and internet services;Web server;Content-based image retrieval (CBIR);Isocontour;fuzzy connectivity;segmentation;web application},
doi={10.1109/TIM.2006.884286},
url={http://dx.doi.org/10.1109/TIM.2006.884286 http://de.evo-art.org/index.php?title=Design_and_implementation_of_Web-based_systems_for_image_segmentation_and_CBIR },
ISSN={0018-9456},
month={Dec},
}
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