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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 43, Iss. 4 — Feb. 1, 2004
  • pp: 824–833

Analysis of hyperspectral fluorescence images for poultry skin tumor inspection

Seong G. Kong, Yud-Ren Chen, Intaek Kim, and Moon S. Kim  »View Author Affiliations


Applied Optics, Vol. 43, Issue 4, pp. 824-833 (2004)
http://dx.doi.org/10.1364/AO.43.000824


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Abstract

We present a hyperspectral fluorescence imaging system with a fuzzy inference scheme for detecting skin tumors on poultry carcasses. Hyperspectral images reveal spatial and spectral information useful for finding pathological lesions or contaminants on agricultural products. Skin tumors are not obvious because the visual signature appears as a shape distortion rather than a discoloration. Fluorescence imaging allows the visualization of poultry skin tumors more easily than reflectance. The hyperspectral image samples obtained for this poultry tumor inspection contain 65 spectral bands of fluorescence in the visible region of the spectrum at wavelengths ranging from 425 to 711 nm. The large amount of hyperspectral image data is compressed by use of a discrete wavelet transform in the spatial domain. Principal-component analysis provides an effective compressed representation of the spectral signal of each pixel in the spectral domain. A small number of significant features are extracted from two major spectral peaks of relative fluorescence intensity that have been identified as meaningful spectral bands for detecting tumors. A fuzzy inference scheme that uses a small number of fuzzy rules and Gaussian membership functions successfully detects skin tumors on poultry carcasses. Spatial-filtering techniques are used to significantly reduce false positives.

© 2004 Optical Society of America

OCIS Codes
(170.6510) Medical optics and biotechnology : Spectroscopy, tissue diagnostics
(330.6180) Vision, color, and visual optics : Spectral discrimination

History
Original Manuscript: April 25, 2003
Revised Manuscript: September 16, 2003
Published: February 1, 2004

Citation
Seong G. Kong, Yud-Ren Chen, Intaek Kim, and Moon S. Kim, "Analysis of hyperspectral fluorescence images for poultry skin tumor inspection," Appl. Opt. 43, 824-833 (2004)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-43-4-824

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