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Proceedings Paper

Morphological algorithms for processing tickets by handheld assay
Author(s): Mingkai Hsueh; Antonio Plaza; Jing Wang; Su Wang; Wei-min Liu; Hsuan Ren; Chein Chang; Janet L. Jensen; James O. Jensen; Matthew A. Odom; Ryen Hydutsky; Harlan Knapp; Ray Yin
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Paper Abstract

There is an immediate need for the ability to detect, identify and quantify chemical and biological agents in water supplies during water point selection, production, storage, and distribution to consumers. Through a U.S. Army sponsored Joint Service Agent Water Monitor (JSAWM) program, based on hand-held assays that exist in a ticket format, we are developing new algorithms for automatic processing of tickets. In previous work, detection of control dots in the tickets was carried out by traditional image segmentation approaches such as Otsu's method and other entropy-based thresholding techniques. In experiments, it was found that the approaches above were sensitive to illumination effects in the camera reader. As a result, more robust, object-oriented approaches to detect the control dots are required. Mathematical morphology is a powerful technique for image analysis that focuses on the size and shape of the objects in the scene. In this work, we describe a novel application of morphological operations in identification of control dots in hand held assay ticket imagery. Such images were pre-processed by a light compensation algorithm prior to morphological analysis. The performance of the proposed approach is evaluated using Receiving Operating Characteristics (ROC) analysis.

Paper Details

Date Published: 14 December 2004
PDF: 9 pages
Proc. SPIE 5584, Chemical and Biological Standoff Detection II, (14 December 2004); doi: 10.1117/12.571968
Show Author Affiliations
Mingkai Hsueh, Univ. of Maryland/Baltimore County (United States)
Antonio Plaza, Univ. of Maryland/Baltimore County (United States)
Univ. de Extremadura (Spain)
Jing Wang, Univ. of Maryland/Baltimore County (United States)
Su Wang, Univ. of Maryland/Baltimore County (United States)
Wei-min Liu, Univ. of Maryland/Baltimore County (United States)
Hsuan Ren, National Central Univ. (Taiwan)
Chein Chang, Univ. of Maryland/Baltimore County (United States)
Janet L. Jensen, U.S. Army Edgewood Chemical Biological Ctr. (United States)
James O. Jensen, U.S. Army Edgewood Chemical Biological Ctr. (United States)
Matthew A. Odom, ANP Technologies Inc. (United States)
Ryen Hydutsky, ANP Technologies Inc. (United States)
Harlan Knapp, ANP Technologies Inc. (United States)
Ray Yin, ANP Technologies Inc. (United States)


Published in SPIE Proceedings Vol. 5584:
Chemical and Biological Standoff Detection II
James O. Jensen; Jean-Marc Theriault, Editor(s)

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