Inspection of poultry skin tumor using hyperspectral fluorescence imaging

Seong-Gon Kong

doi:10.1117/12.515151

1 May 2003 Inspection of poultry skin tumor using hyperspectral fluorescence imaging

Seong-Gon Kong

Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.515151
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States

Abstract

Hyperspectral fluorescence images reveal useful information for detecting skin tumor on poultry carcasses. In this paper, a hyperspectral fluorescence imaging system with fuzzy interference scheme is presented for detecting skin tumors on poultry carcasses. Image samples are obtained from a hyperspectral fluorescence imaging system for 65 spectral bands whose wavelength is ranged from 425(nm) to 711(nm). The approximation component of the level-1 decomposition of discrete wavelet transform is used for processing to reduce a large amount of hyperspectral image data. Features are computed from two spectral bands corresponding to the two peaks of relative fluorescence intensity. A fuzzy interference system with a small number of fuzzy rules and Gaussian membership functions successfully detects skin tumors on poultry carcasses.

Citation Download Citation

Seong-Gon Kong "Inspection of poultry skin tumor using hyperspectral fluorescence imaging", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.515151

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