Image recognition of diseased rice seeds based on color feature

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5587, Issue , 2004, Pages 224-231

  Cheng, F ^a   Ying, Y B ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Diseased rice seeds; Hue; Image processing; Machine vision

Indexed keywords

ALGORITHMS; COLOR; COMPUTER VISION; DISEASES; FUNCTIONS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; PROBABILITY;

COLOR FEATURE; CORN KERNAL DAMAGE; DISEASED RICE SEEDS; HUES;

SEED;

ALGORITHMS; CLUMPS; COLOR; DISEASES; IMAGE ANALYSIS; SEEDS; VISION;

EID: 16644399541     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.570095     Document Type: Conference Paper

References (4)

1. H. F. Ng, W. F. Wilcke, R. V. Morey, and J. P. Lang, "Machine vision evaluation of corn kernel mechanical and mold damage," Trans. ASAE 41(2): 425-420, 1998.
2. H. F. Ng, W. F. Wilcke, R. V. Morey, and J. P. Lang, "Machine vision color calibration in assessing corn kernel damage," Trans. ASAE 41(3): 727-732, 1998.
3. X. Luo, D. S. Jayas and S. J. Symonst, "Identification of damaged kernels in wheat using a color machine vision system," J. Cereal Sci. 30: 49-59, 1999.
4. J. Liu and M. R. Paulsen, "Corn whiteness measurement and classification using machine vision," Trans. ASAE 43(3): 757-763, 2000.