| Tunable filter-based multispectral imaging for detection of blood stains on construction material substrates. Part 1. Developing blood stain discrimination criteria. | |
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MedLine Citation:
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PMID: 23052077 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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In this article, we establish blood stain detection criteria that are less substrate dependent for use in a liquid crystal tunable filter-based multispectral-imaging system. Kubelka-Munk (KM) theory is applied to transform the acquired stains' reflectance spectra into the less substrate dependent spectra. Chosen spectral parameters are extracted from the KM absorbance spectra of several stain samples on several substrates. Blood discrimination criteria based upon those spectral parameters are then established from empirical data, tested, and refined. In our newly invented method, instead of introducing conventional contrast enhancement on the blood stain image, blood stain determination is executed mathematically via Boolean logic, resulting in more discriminative blood stain identification. This proposed approach allows for nondestructive, quick, discriminative, and easy-to-improve presumptive blood stain detection. Experimental results confirm that our blood stain discrimination criteria can be used to locate blood stains on several construction materials with high precision. True positive rates (sensitivity) from 0.60 to 0.95 are achieved depending on blood stain faintness and substrate types. Also, true negative rates (specificity) between 0.55 and 0.96 and identification time of 4-5 min are accomplished, respectively. The established blood stain discrimination criteria will be incorporated in a real blood stain detection system in part 2 of this article, where system design and considerations as well as speed issues are discussed. |
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Authors:
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Suwatwong Janchaysang; Sarun Sumriddetchkajorn; Prathan Buranasiri |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Applied optics Volume: 51 ISSN: 1539-4522 ISO Abbreviation: Appl Opt Publication Date: 2012 Oct |
Date Detail:
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Created Date: 2012-10-11 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0247660 Medline TA: Appl Opt Country: United States |
Other Details:
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Languages: eng Pagination: 6984-96 Citation Subset: IM |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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