To protect the environment and save human lives, the detection of various
hazardous toxins of biological or chemical origin has been a major challenge to the
researchers at Oregon State University. Living fish cells can indicate the presence of a
wide range of toxins by reactions such as changing color and shape changes. A
research team in Electrical and Computer Engineering Department is developing a
hybrid detection device (Cytosensor) that combines biological reaction and digital
technology. The functions of Cytosensor can be divided into three parts, which are
real-time image acquisition, data processing and statistical data analysis.
User-friendly Web-Based Distributed Applications (WBDA) for Cytosensor
offer various utilities. WBDA allow the users to control and observe the local
Cytosensor, search and retrieve data acquired by the sensor network, and process the
acquired images remotely using only a web browser. Additionally, these applications
minimize the user's exposure to dangerous chemicals or biological products.
This thesis describes the design of a remote controller, system observer, remote
processor, and search engine using JAVA applets, XML, Perl, MATLAB, and Peer-to-Peer models. Furthermore, the implementations of image segmentation technique in
MATLAB and the Machine Vision Algorithm in JAVA for independent web-based
processing are investigated. / Graduation date: 2003
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/31587 |
| Date | 17 March 2003 |
| Creators | Liew, Ji Seok |
| Contributors | Kolodziej, Wojtek J. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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