Development of multispectral image processing algorithms for identification of wholesome, septicemic, and inflammatory process chickens

Journal of Food Engineering

Volumn 69, Issue 2, 2005, Pages 225-234

  Yang, Chun Chieh ^a   Chao, Kuanglin ^b,c   Chen, Yud Ren ^b  

^a UNIVERSITY OF KENTUCKY   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c U S DEPARTMENT OF AGRICULTURE   (United States)

Author keywords

Food safety; Machine vision; Poultry

Indexed keywords

ALGORITHMS; COMPUTER VISION; DISEASES; IMAGE PROCESSING; IMAGING SYSTEMS; INFRARED SPECTROPHOTOMETERS; MICROORGANISMS; PRINCIPAL COMPONENT ANALYSIS; SAFETY TESTING;

FOOD SAFETY; INFLAMMATORY PROCESS (IP); MULTISPECTRAL IMAGING SYSTEMS; POULTRY;

FOOD PRODUCTS;

GALLUS GALLUS;

EID: 14044278122     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2004.07.021     Document Type: Article

References (14)

1. L. Breiman, J.H. Friedman, R.A. Olshen, and C.J. Stone Classification and regression trees 1984 Wadsworth Belmont, CA, USA
2. K. Chao, Y.R. Chen, and D.E. Chan Analysis of Vis/NIR spectral variations of wholesome, septicemia, and cadaver chicken carcasses Applied Engineering in Agriculture 19 4 2003 453 458
3. Y.R. Chen, K. Chao, and M.S. Kim Future trends of machine vision technology for agricultural applications Computers and Electronics in Agriculture 36 2-3 2002 173 191
4. Evans, M. D., Thai, C. N., & Grant, J. C. (1997). Computer control and calibration of a liquid crystal tunable filter for crop stress imaging. 1997 ASAE Annual Meeting, Paper no. 973141. St Joseph, MI, USA: American Society of Agricultural Engineers
5. J. Han, and M. Kamber Data mining: concepts and techniques 2001 Academic Press San Diego, CA, USA
6. C. Mao, and J. Heitschmidt Hyperspectral imaging with liquid crystal tunable filter for biological and agricultural assessment Proceedings of SPIE 3543 1998 The International Society for Optical Engineering Bellingham, WA, USA 172 181
7. B.K. Miller, and M.J. Delwiche A color vision system for peach grading Transactions of the ASAE 34 4 1989 1484 1490
8. B. Park, K.C. Lawrence, W.R. Windham, and R.J. Buhr Hyperspectral imaging for detecting fecal and ingesta contamination on poultry carcasses Transactions of the ASAE 45 6 2002 2017 2026
9. Precetti, C. J., & Krutz, G. W. (1993). Real-time color classification system. 1993 ASAE Annual Meeting, Paper no. 933002. St Joseph, MI, USA: American Society of Agricultural Engineers
10. N. Sakar, and R.R. Wolfe Feature extraction techniques for sorting tomatoes by computer vision Transactions of the ASAE 28 3 1985 970 979
11. Tao, Y., Morrow, C. T., Heinemann, P. H., & Sommer, J. H. (1990). Automated machine vision inspection of potatoes. 1990 ASAE Annual Meeting, Paper no. 903531. St Joseph, MI, USA: American Society of Agricultural Engineers
12. USDA. (1984). A review of the slaughter regulations under the Poultry Products Inspection Act. Washington, D.C., USA: Regulations Office, Policy and Program Planning, FSIS, USDA
13. W.R. Windham, K.C. Lawrence, B. Park, and R.J. Buhr Visible/NIR spectroscopy for characterizing fecal contamination of chicken carcasses Transactions of the ASAE 46 3 2003 747 751
14. C.-C. Yang, S.O. Prasher, P. Enright, C. Madramootoo, M. Burgess, and P.K. Goel Application of decision tree technology for image classification using remote sensing data Agricultural Systems 76 3 2003 1101 1117