Machine vision inspection of rice seed based on Hough transform

Journal of Zhejiang University: Science

Volumn 5, Issue 6, 2004, Pages 663-667

  Cheng, Fang ^a   Ying, Yi Bin ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Hough transform; Incompletely closed glumes; Machine vision; Rice seed

Indexed keywords

COMPUTER SOFTWARE; COMPUTER VISION; HOUGH TRANSFORMS; IMAGE PROCESSING; INSPECTION; QUALITY CONTROL;

INCOMPLETELY CLOSED GLUMES; MACHINE VISION; MATLAB 6.5; RICE SEED;

SEED;

ALGORITHM; ARTICLE; FOOD; FOOD CONTROL; HISTOLOGY; METHODOLOGY; PLANT SEED; QUALITY CONTROL; RICE; STANDARD;

ALGORITHMS; FOOD; FOOD INSPECTION; ORYZA SATIVA; QUALITY CONTROL; SEEDS;

EID: 3142776103     PISSN: 10093095     EISSN: None     Source Type: Journal    
DOI: 10.1631/jzus.2004.0663     Document Type: Article

References (12)

1. Casady, W.W., Paulsen, M.R., Reid, J.F., Sinclair, J.B., 1992. A trainable algorithm for inspection of soybean seed quality. Trans. ASAE, 35(6): 2027-2034.
2. Gunasekaran, S., Cooper, T.M., Berlage, A.G., 1988a. Evaluating quality factors of corn and soybean using a computer vision system. Trans. ASAE, 31(4): 1264-1271.
3. Gunasekaran, S., Cooper, T.M., Berlage, A.G., 1988b. Soybean seed coat and cotyledon crack detection by image processing. J. Agric. Eng. Res., 41: 139-148.
4. Lai, F.S., Zayas, I., Pomeranz, Y., 1986. Application of pattern recognition techniques in the analysis of cereal grains. Cereal Chem., 63(2):168-172.
5. Liao, K., Paulsen, M.R., Reid, J.F., Ni, B., Bonifacio-Maghirang, E.P., 1993. Corn kernel breakage classification by machine vision. Trans. ASAE, 36(6): 1949-1953.
6. Ng, H.F., Wilcke, W.F., Morey, R.V., Lang., J.P., 1998. Machine vision evaluation of corn kernel mechanical and mold damage. Trans. ASAE, 41(2):425-420.
7. Neuman, M., Sapirstein, H.D., Shwedyck, E., Bushuk, W., 1987. Discrimination of wheat class and variety by digital image analysis of whole grain samples. J. Cereal Sci., 6:125-132.
8. Sapirstein, H.D., Neuman, M., Wright, E.H., Shwedyk, E., Bushuk, W., 1987. An instrumental system for cereal grain classification using digital image analysis. J. Cereal Sci., 6:3-14.
9. Satake, T., Furuya, T., Shimohara, T., 1992. Study on the development of neuroprocessor for the quality evaluation of brown rice. J. Japanese Soc. Agric. Machinery, 54(4): 67-75.
10. Zayas, I., Pomeranz, L.Y., Lai, F.S., 1985. Discrimination between Arthur and Arkan wheats by image analysis. Cereal Chem., 62:478.
11. Zayas, I., Converse, H., Steele, J., 1990. Discrimination of Whole from broken corn kernels with image analysis. Trans. ASAE, 33(5): 1642-1646.
12. Zayas, I., Martin, C.R., Steele, J.L., Katsevich, A., 1996. Wheat classification using image analysis and crush-force parameters. Trans. ASAE, 39: 2199-2204.