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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 29 — Oct. 10, 2012
  • pp: 6984–6996

Tunable filter-based multispectral imaging for detection of blood stains on construction material substrates. Part 1. Developing blood stain discrimination criteria

Suwatwong Janchaysang, Sarun Sumriddetchkajorn, and Prathan Buranasiri  »View Author Affiliations


Applied Optics, Vol. 51, Issue 29, pp. 6984-6996 (2012)
http://dx.doi.org/10.1364/AO.51.006984


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Abstract

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.

© 2012 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology
(120.4630) Instrumentation, measurement, and metrology : Optical inspection
(150.1488) Machine vision : Calibration
(110.4234) Imaging systems : Multispectral and hyperspectral imaging

ToC Category:
Imaging Systems

History
Original Manuscript: May 22, 2012
Revised Manuscript: August 9, 2012
Manuscript Accepted: August 10, 2012
Published: October 5, 2012

Citation
Suwatwong Janchaysang, Sarun Sumriddetchkajorn, and Prathan Buranasiri, "Tunable filter-based multispectral imaging for detection of blood stains on construction material substrates. Part 1. Developing blood stain discrimination criteria," Appl. Opt. 51, 6984-6996 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-29-6984


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