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14 December 2004 Morphological algorithms for processing tickets by handheld assay
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Proceedings Volume 5584, Chemical and Biological Standoff Detection II; (2004)
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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, and Ray Yin "Morphological algorithms for processing tickets by handheld assay", Proc. SPIE 5584, Chemical and Biological Standoff Detection II, (14 December 2004);

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