Brightness-invariant image segmentation for on-line fruit defect detection

Optical Engineering

Volumn 37, Issue 11, 1998, Pages 2948-2952

  Wen, Zhiqing ^a   Tao, Yang ^a  

^a University of Arkansas   (United States)

Author keywords

Defect detection; Fruit inspection; Image processing; Imaging; Machine vision; Morphology

Indexed keywords

EID: 0041373512     PISSN: 00913286     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.601882     Document Type: Article

References (7)

1. E. R. Davies, Machine Vision: Theory, Algorithm, Practicalities, Academic Press, San Diego, CA (1990).
2. Z. Wen and Y. Tao, "Fuzzy-based determination of model and parameters of dual-wavelength vision system for on-line apple sorting," Opt. Eng. 37(1), 293-299 (1998).
3. Y. Tao, "Methods and apparatus for sorting objects by color," U.S. Patent No. 5339963 (1994).
4. Q. Yang, "An approach to apple surface feature detection by machine vision," Comput. Electron. Agric. 11, 249-264 (1994).
5. Y. Tao, C. T. Morrow, P. H. Heinemann, and H. J. Sommer III, "Fourier-based separation technique for ship grading of potatoes using machine vision," Trans. ASAE 38(3), 949-957 (1995).
6. P. H. Heinemann, N. P. Pathare, and C. T. Morrow, "Automated inspection station for machine vision grading of potatoes," J. Mach. Vis. Appl. 9(1), 14-19 (1996).
7. G. K. Brown, L. J. Segerlind, and R. Summit, "Near-infrared reflectance of bruised apples." Trans. ASAE 17(1), 17-19 (1974).