Inspection of poultry skin tumor using hyperspectral fluorescence imaging

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.

[1]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  I. Daubechies.  Ten Lectures on Wavelets , 1992 .

[3]  José M. F. Moura,et al.  Efficient detection in hyperspectral imagery , 2001, IEEE Trans. Image Process..

[4]  Ellsworth F. LeDrew,et al.  Spectral Discrimination of Healthy and Non-Healthy Corals Based on Cluster Analysis, Principal Components Analysis, and Derivative Spectroscopy , 1998 .

[5]  Bosoon Park,et al.  Multi-spectral Image Analysis using Neural Network Algorithm for Inspection of Poultry Carcasses☆ , 1998 .

[6]  Moon S. Kim,et al.  Identification of the pigment responsible for the blue fluorescence band in the laser induced fluorescence (LIF) spectra of green plants, and the potential use of this band in remotely estimating rates of photosynthesis , 1991 .

[7]  A. Rosenfeld,et al.  Computer vision: basic principles , 1988, Proc. IEEE.

[8]  David A. Landgrebe,et al.  Hyperspectral Image Data Analysis as a High Dimensional Signal Processing Problem , 2002 .

[9]  Digvir S. Jayas,et al.  Multi-layer neural networks for image analysis of agricultural products , 2000 .

[10]  Y. R. Chen,et al.  HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY , 2001 .

[11]  David Lamb,et al.  PA—Precision Agriculture: Remote-Sensing and Mapping of Weeds in Crops , 2001 .

[12]  Kuanglin Chao,et al.  On-line inspection of poultry carcasses by a dual-camera system , 2002 .

[13]  Tassos Markas,et al.  Multispectral image compression algorithms , 1993, [Proceedings] DCC `93: Data Compression Conference.

[14]  Bart Kosko,et al.  Adaptive fuzzy systems for backing up a truck-and-trailer , 1992, IEEE Trans. Neural Networks.