Textural analysis of hyperspectral images for improving contaminant detection accuracy

  • Bosoon ParkEmail author
  • Michio Kise
  • William R. Windham
  • Kurt C. Lawrence
  • Seung C. Yoon
Hyperspectral and Multispectral Imaging


Previous studies demonstrated a hyperspectral imaging system has a potential for poultry fecal contaminant detection by measuring reflectance intensity. The simple image ratio at 565 and 517 nm images with optimal thresholding was able to detect fecal contaminants on broiler carcasses with high accuracy. However, differentiating false positives from real contaminants, especially cecal feces were challenging. Further image processing such as textural analysis in the spatial domain was able to reduce false positive errors. In this study, textural analysis of hyperspectral images was conducted to improve detection accuracy by reducing false positives. Specifically, textural analysis with co-occurrence matrix of hyperspectral images performed well to identify “true” contamination. In addition, co-occurrence matrix textural features including average, variance, entropy, contrast, correlation, moment of poultry hyperspectral images were investigated for selecting optimal features to represent contamination. Image pre-processing with co-occurrence textural analysis, specifically mean of co-occurrence textural feature from the matrix (0° angle and distance equals to one) followed by image ratio was able to improve fecal detection accuracy without additional optical filters that increase cost for system hardware of multispectral imaging system for on-line application.


Imaging spectroscopy Machine vision Image processing Food safety Texture analysis Fecal contamination Poultry inspection 


  1. 1.
    F.T. Jones, Zero tolerance for fecal spots: FSIS. Poultry 6, 38 (1999)Google Scholar
  2. 2.
    S. Mahesh, A. Manickavasagan, D.S. Jayas, J. Paliwal, N.D.G. White, ASABE Paper No. 072835 (ASABE, St. Joseph, MI, 2007)Google Scholar
  3. 3.
    N. Gorretta, J.M. Roger, M. Aubert, V. Bellon-Maurel, F. Campan, P. Roumet, J. Near Infrared Spectrosc. 14(4), 231 (2006)Google Scholar
  4. 4.
    R. Lu, Y. Peng, Biosyst. Eng. 93(2), 161 (2006)CrossRefGoogle Scholar
  5. 5.
    J. Xing, P. Jancsok, J. De Baerdemaeker, Biosyst. Eng. 96(2), 231 (2007)CrossRefGoogle Scholar
  6. 6.
    L. Jiang, B. Zhu, H. Jing, Z. Chen, X. Rao, Y. Tao, Trans. ASABE 50(1), 153 (2007)Google Scholar
  7. 7.
    C.P. Shah, P.R. Weckler, N.O. Maness, ASABE Paper No. 063077 (ASABE, St. Joseph, MI, 2006)Google Scholar
  8. 8.
    Q. Jun, M. Ngadi, N. Wang, A. Gunenc, M. Monroy, C. Gariepy, S. Prasher, Int. J. Food Eng. 3(1), 1 (2007)Google Scholar
  9. 9.
    G.K. Naganathan, L.M. Grimes, J. Subbiah, C.R. Calkins, ASABE Paper No. 063036 (ASABE, St. Joseph, MI 2006)Google Scholar
  10. 10.
    D.P. Ariana, R. Lu, ASABE Paper No. 073133 (ASABE, St. Joseph, MI 2007)Google Scholar
  11. 11.
    G. Polder, G.W.A.M. van der Heijden, I.T. Young, Trans. ASABE 45(4), 1155 (2002)Google Scholar
  12. 12.
    B. Park, K.C. Lawrence, W.R. Windham, R.J. Buhr, Trans. ASAE 45(6), 2017 (2003)Google Scholar
  13. 13.
    W.R. Windham, K.C. Lawrence, B. Park, L.A. Martinez, M.A. Lanoue, D.A. Smith, J. Heitschmidt, G.H. Poole, U.S. Patent 6,587,575, 2003Google Scholar
  14. 14.
    B. Park, K.C. Lawrence, W.R. Windham, D.P. Smith, Appl. Eng. Agric. 21(4), 627 (2005)Google Scholar
  15. 15.
    K.C. Lawrence, B. Park, W.R. Windham, C. Mao, Trans. ASAE 46(2), 513 (2003)Google Scholar
  16. 16.
    G.W. Heitschmidt, B. Park, K.C. Lawrence, W.R. Windham, Trans. ASABE 50(4), 1427 (2007)Google Scholar
  17. 17.
    B. Park, S.C. Yoon, K.C. Lawrence, W.R. Windham, Trans. ASABE 50(6), 2275 (2007)Google Scholar
  18. 18.
    R.M. Haralick, K. Shanmugan, I. Dinstein, IEEE Trans. Syst. Man Cybern. 3(6), 610 (1973)CrossRefGoogle Scholar
  19. 19.
    B. Park, Y.R. Chen, Trans. ASABE 39(4), 1485 (1996)Google Scholar
  20. 20.
    B. Park, Y.R. Chen, J. Agric. Engr. Res. 78, 2–127 (2001)CrossRefGoogle Scholar
  21. 21.
    H. Anys, A. Bannari, D.C. He, D. Morin, in Proc. of the First Int’l Airborne Remote Sensing Conf. and Exhibit, vol. 3, 1994, p. 231Google Scholar
  22. 22.
    S.A. Shearer, R.G. Holmes, Trans. ASAE 33(6), 2037 (1990)Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Bosoon Park
    • 1
    Email author
  • Michio Kise
    • 1
  • William R. Windham
    • 1
  • Kurt C. Lawrence
    • 1
  • Seung C. Yoon
    • 1
  1. 1.U.S. Department of Agriculture, Agricultural Research ServiceRichard B. Russell Research CenterAthensUSA

Personalised recommendations