Leaf area measurement of selected vegetable seedlings using elliptical Hough transform

Transactions of the American Society of Agricultural Engineers

Volumn 45, Issue 5, 2002, Pages 1669-1677

  Chien, Chung Fang ^a   Lin, Ta Te ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Feature extraction; Hough transform; Image processing; Leaf area

Indexed keywords

ALGORITHMS; ESTIMATION; FOOD PRODUCTS PLANTS; IMAGE PROCESSING; MEASUREMENT ERRORS;

VEGETABLE SEEDLINGS;

SEED;

ALGORITHM; CROP; IMAGE PROCESSING;

AMARANTHUS; AMARANTHUS CAUDATUS; AMARANTHUS TRICOLOR; BRASSICA; BRASSICA JUNCEA; BRASSICA OLERACEA VAR. CAPITATA;

EID: 0036767079     PISSN: 00012351     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. Ballard, D. H. 1981. Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition 13(2): 111-122.
2. Beverly, R. B., and M. W. van Iersel. 1998. Calibration of a video image-analysis system for measurement of stem length, leaf area, and percent ground coverage. Commun. Soil Sci. Plant Anal. 29(9&10): 1071-1081.
3. Brenner, A. J., M. C. Romeo, J. G. Haro, M. A. Gilabert, L. D. Incoll, J. M. Fernandez, E. Porter, F. I. Pugnaire, and M. T. Younis. 1995. A comparison of direct and indirect methods for measuring leaf and surface areas of individual bushes. Plant, Cell, and Environment 18: 1332-1340.
4. Chien, C. F., and T. T. Lin. 2000a. Non-destructive measurement of vegetable seedling leaf area using elliptical Hough transform. ASAE Paper No. 003023. St. Joseph, Mich.: ASAE.
5. _. 2000b. An image-processing method to measure overlapped leaf area using elliptical Hough transform. J. Agric. Machinery 9(4): 47-64 (in Chinese).
6. Duda, R. O., and P. E. Hart. 1972. Use of the Hough transformation to detect lines and curves in pictures. Commun. ACM 15(1): 11-15.
7. Franz, E., M. R. Gebhardt, and K. B. Unklesbay. 1991a. Shape description of completely visible and partially occluded leaves for identifying plants in digital images. Trans. ASAE 34(2): 673-681.
8. _. 1991b. The use of local spectral properties of leaves as an aid for identifying weed seedlings in digital images. Trans. ASAE 34(2): 682-687.
9. _. 1995. Algorithms for extracting leaf boundary information from digital images of plant foliage. Trans. ASAE 38(2): 625-633.
10. Guyer, D. E., G. E. Miles, M. M. Schreiber, O. R. Michell, and V. C. Vanderbilt. 1986. Machine vision and image processing for plant identification. Trans. ASAE 29(6): 1500-1507.
11. Haralick, R. M., and L. G. Shapiro. 1993. Computer and Robot Vision. Vol. II. New York, N.Y.: Addison-Wesley.
12. Hough, P. V. C. 1962. Method and means for recognizing complex patterns. U.S. Patent No. 3069654.
13. Howarth, M. S., and P. C. Stanwood. 1993. Measurement of seedling growth rate by machine vision. Trans. ASAE 36(3): 959-963.
14. Lang, A. R. G., Y. Xiang, and J. M. Norman. 1985. Crop structure and the penetration of direct sunlight. Agric. and Forest Meteorology 35: 83-101.
15. Loncaric, S. 1998. A survey of shape analysis techniques. Pattern Recognition 31(8): 983-1001.
16. Marshall, J. K. 1968. Methods for leaf area measurement of large and small leaf samples. Photosynthetica 2: 41-47.
17. Meyer, G. E., and D. A. Davison. 1987. An electronic-image plant growth measurement system. Trans. ASAE 30(1): 242-248.
18. Muammar, H. K., and M. Nixon. 1991. Tristage Hough transform for multiple ellipse extraction. IEEE Proc. 138(1): 27-35.
19. Nyakwende, E., C. J. Paull, and J. G. Atherton. 1997. Non-destructive determination of leaf area in tomato plants using image processing. J. Hort. Sci. 72(2): 255-262.
20. Otsu, N. 1979. A threshold selection method from gray-level histograms. IEEE Trans. on Systems, Man, and Cybernetics. SMC-9: 62-66.
21. Richards, J. A., and X. Jia. 1999. Remote Sensing Digital Image Analysis: An Introduction. 3rd ed. Berlin, Germany: Springer Verlag.
22. Sommer, K. J., and A. R. G. Lang. 1994. Comparative analysis of two indirect methods of measuring leaf area index as applied to minimal and spur pruned grape vines. Aust. J. Plant Physiol. 21: 197-206.
23. Storlie, C. A., A. Stepanek, and G. E. Meyer. 1989. Growth analysis of whole plants using video imagery. Trans. ASAE 32(6): 2185-2189.
24. Trooien, T. P., and D. F. Heermann. 1992. Measurement and simulation of potato leaf area using image processing: III. Measurement. Trans. ASAE 35(5): 1719-1721.
25. Whittaker, A. D., G. E. Miles, O. R. Mitchell, and L. D. Gaultney. 1987. Fruit location in a partially occluded image. Trans. ASAE 30(3): 591-596.
26. Woebbecke, D. M., G. E. Meyer, K. Von Bargen, and D. A. Mortensen. 1995. Shape features for identifying young weeds using image analysis. Trans. ASAE 38(1): 271-281.
27. Yokoi, S., J. Toriwaki, and T. Fukumura. 1975. An analysis of topological properties of digitized binary pictures using local features. Computer Graphics and Image Processing 4: 63-73.
28. Yonekawa, S., N. Sakai, and O. Kitani. 1996. Identification of idealized leaf types using simple dimensionless shape factors by image analysis. Trans. ASAE 39(4): 1525-1533.