Paper
10 January 2003 Web-based distributed image processing system
Chia Yung Han, Hong Chen, Lei He, William G. Wee
Author Affiliations +
Proceedings Volume 5018, Internet Imaging IV; (2003) https://doi.org/10.1117/12.476180
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
This paper presents a framework for developing a Web-based distributed image processing application system that is flexible, convenient, and scalable. The system uses the existing Web-based technology and image processing methodologies to implement this capability in a distributed computing environment that may include powerful machines to process complex and large images. The system consists of browser, server, service registry and task scheduler, image data storage and management, and knowledge-based image processing services. A server-side application considers the user’s request from a client side. The server host identifies the request and the necessary resources and schedules the computing resources and image processing services. Based on the instructions of the developer’s side (the service provider) a proper knowledge-based on-line assistance is given to the client to select the right algorithm, set up proper parameter values in order to maximize the usage. Developers can modify and upgrade the services at their own site and publish the workable version, its interface, and required resources to the server. The server enables remote invocation of the algorithm by providing a seamless and efficient linkage mechanism. An application for segmentation operation using deformable contour methods for complex images is provided as an example.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chia Yung Han, Hong Chen, Lei He, and William G. Wee "Web-based distributed image processing system", Proc. SPIE 5018, Internet Imaging IV, (10 January 2003); https://doi.org/10.1117/12.476180
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Image processing

Java

Distributed computing

Algorithm development

Human-machine interfaces

Image segmentation

Image storage

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