Image texture analysis for discrimination of mill fractions of hard and soft wheat

Cereal Chemistry

Volumn 73, Issue 1, 1996, Pages 136-142

  Zayas, I Y ^a   Steele, J L ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; IMAGE ANALYSIS; IMAGE TEXTURE; PIXELS;

BLACK AND WHITE IMAGES; DIGITAL IMAGE; FEATURE MODELS; HARD RED WINTER WHEAT; IMAGE TEXTURE ANALYSIS; PIXEL FORMATS; SOFT RED WINTER WHEAT; SUBIMAGES; TEXTURAL FEATURE; TEXTURE ANALYSIS;

HARDNESS;

TRITICUM AESTIVUM;

EID: 0030484622     PISSN: 00090352     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

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2. HARALICK, R. M., SHANMUGAM, K., and DINSTEIN, I. 1973. Textural features for image classification. IEEE Trans, on Systems, Man, and Cybernetics, 3(6):610-621. IEEE: New York.
3. MORRISON, D. F. 1985. Multivariate Statistical Methods. McGraw-Hill: New York.
4. SAS. 1993. User's Guide. SAS Institute Inc.: Cary, NC.
5. ZAYAS, I. Y., POMERANZ, Y., and LAI, F. S. 1985. Discrimination between Arthur and Arkan wheats by image analysis. Cereal Chem. 62:478.
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8. ZAYAS, I. Y., CONVERSE, H., and STEELE, J. L. 1990. Discrimination of whole from broken corn kernels with image analysis. Trans ASAE 33(5): 1642-1646.
9. ZAYAS, I. Y., MARTIN, C. R., STEELE, J. L., and DEMPSTER, R. E. 1991. Image texture of crushed wheat., Machine Vision Architectures, Integration and Applications. Proc. SPIE 1615:203-215.