3D surface reconstruction and analysis in automated apple stem-end/calyx identification

Transactions of the ASABE

Volumn 52, Issue 5, 2009, Pages 1775-1784

  Jiang, L ^a   Zhu, B ^a   Cheng, X ^a   Luo, Y ^a   Tao, Y ^b  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

3D reconstruction; Apples; Automated detection; Calyx; Facet model; Near infrared; Shape from shading; Stem end

Indexed keywords

3D RECONSTRUCTION; APPLES; AUTOMATED DETECTION; CALYX; FACET MODEL; NEAR-INFRARED; SHAPE- FROM -SHADING; STEM END;

AUTOMATION; COMPUTER VISION; DEFECTS; FRUITS; IMAGE RECONSTRUCTION; INFRARED DEVICES; REPAIR; SURFACE RECONSTRUCTION; TWO DIMENSIONAL;

THREE DIMENSIONAL;

AUTOMATION; COMPUTER VISION; DATA INTERPRETATION; FRUIT; NEAR INFRARED; RECONSTRUCTION; THREE-DIMENSIONAL MODELING;

MALUS X DOMESTICA;

EID: 70449411612     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (46)

1. Bennedsen, B. S., D. L. Peterson, and A. Tabb. 2005. Identifying defects in images of rotating apples. Comput. Electron. Agric. 48(2): 92-102.
2. Besl, P. J., and R. C. Jain. 1985. Three-dimensional object recognition. ACM Computing Surveys (CSUR) 17(1): 75-145.
3. Besl, P. J., and R. C. Jain. 1988. Segmentation through variable-order surface fitting. IEEE Trans. PAMI 10(2): 167-192.
4. Blane, M. M., Z. Lei, H. Civi, and D. B. Cooper. 2000. The 3L algorithm for fitting implicit polynomial curves and surfaces to data. IEEE Trans. PAMI 22(3): 298-313.
5. Brown, G. K., L. J. Segerlind, and R. Summit. 1974. Near-infrared reflectance of bruised apples. Trans. ASAE 17(1): 17-19.
6. Cheng, X., Y. Tao, Y. R. Chen, and Y. Luo. 2003. NIR/MIR dual-sensor machine vision system for on-line apple stem-end/calyx recognition. Trans. ASAE 46(2): 551-558.
7. Crouzil, A., X. Descombes, and J.-D. Durou. 2003. A multiresolution approach for shape from shading coupling deterministic and stochastic optimization. IEEE Trans. PAMI 25(11): 1416-1421.
8. Good Fruit Growers. 1993. MERLIN electronic color sorter. Good Fruit Growers (March 15).
9. Haralick, R. M. 1983. Ridges and valleys on digital images. Comput. Vision Graph. Image Proc. 22: 28-38.
10. Haralick, R. M. 1984. Digital step edges from zero crossing of second directional derivatives IEEE Trans. Pattern Analysis and Machine Intelligence 6(1): 58-68.
11. Haralick, R. M., and L. Watson. 1981. A facet model for image data. Comput. Graphics Image Proc. 15: 113-129.
12. Hebert, M., K. Ikeuchi, and H. Delingette. 1995. A spherical representation for recognition of free-form surfaces. IEEE Trans. PAMI 17(7): 681-690.
13. Horn, B. K. P. 1970. Shape from shading: A method for obtaining the shape of a smooth opaque object from one view. PhD diss. Cambridge, Mass.: Massachusetts Institute of Technology.
14. Ji, Q., and R. M. Haralick. 2002. Efficient facet edge detection and quantitative performance evaluation. Pattern Recog. 35(3): 689-700.
15. Jiang, H., R. A. Robb, H. Tainter, and S. Kerrie. 1992. New approach to 3-D registration of multimodality medical images by surface matching. Proc. SPIE 1808: 196-213. (Pubitemid 23620264)
16. Jing, H., and Y. Tao. 1999. Real-time high-resolution 3-D laser range imaging of poultry products. ASAE Paper No. 993142. St. Joseph, Mich.: ASAE.
17. Kimmel, R., and J. A. Sethian. 2001. Optimal algorithm for Shape from Shading and path planning. J. Math. Imaging and Vision 14(3): 237-244.
18. Leemans, V., H. Magein, and M.-F. Destain. 1999. Defect segmentation on Jonagold' apples using colour vision and a Bayesian classification method. Comput. Electron. Agric. 23(1): 43-53.
19. Li, Q., M. Wang, and W. Gu. 2002. Computer vision based system for apple surface defect detection. Comput. Electron. Agric. 36(2-3): 215-223.
20. Lukács, G., R. Martin, and D. Marshall. 1998. Faithful least-squares fitting of spheres, cylinders, cones, and tori for reliable segmentation. Lecture Notes in Comput. Sci. 1406: 671.
21. Ott, L., and M. Longnecker. 2001. An Introduction to Statistical Methods and Data Analysis. 5th ed. Pacific Grove, Cal.: Wadsworth Group.
22. Penman, D. W. 2001. Determination of stem and calyx location on apples using automatic visual inspection. Comput. Electron. Agric. 33(1): 7-18.
23. Pentland, A. P. 1982. Finding the illuminant direction. J. Opt. Soc. America A 72(4): 448-455.
24. Pentland, A. 1989. Shape information from shading: A theory about human perception. Spatial Vision 4(2/3): 165-182.
25. Prados, E., and O. Faugeras. 2003. "Perspective shape from shading" and viscosity solutions. Proc. 9th IEEE Intl. Conf. on Comput. Vision 2: 826-831. Piscataway, N.J.: IEEE.
26. Prados, E., O. Faugeras, and E. Rouy. 2002. Shape from shading and viscosity solutions. Proc. 7th European Conf. on Comput. Vision 2: 790-804. Berlin, Germany: Springer.
27. Scott, A. M., H. Macapinlac, J. Zhang, F. Daghighian, N. Montemayor, H. Kalaigian, G. Sgouros, M. C. Graham, K. Kolbert, S. D. J. Yeh, E. Lai, S. J. Goldsmith, and S. M. Larson. 1995. Image registration of SPECT and CT images using an external fiduciary band and three-dimensional surface fitting in metastatic thyroid cancer. J. Nuclear Med. 36(1): 100-103.
28. Shahin, M. A., E. W. Tollner, R. W. McClendon, and H. R. Arabnia. 2002. Apple classification based on surface bruises using image processing and neural networks. Trans. ASAE 45(5): 1619-1627.
29. Tankus, A., N. Sochen, and Y. Yeshurun. 2004. Perspective shape-from-shading by fast marching. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR '04) 1: 43-49. Piscataway, N.J.: IEEE.
30. Tao, Y. 1996. Spherical transform of fruit images for on-line defect extraction of mass objects. Opt. Eng. 35(2): 344-350.
31. Tao, Y., and Z. Wen. 1999. An adaptive spherical image transform for high-speed fruit defect detection. Trans. ASAE 42(1): 241-246.
32. Throop, J. A., D. J. Aneshansley, B. L. Upchurch, and B. Anger 2001. Apple orientation on two conveyors: Performance and predictability based on fruit shape characteristics. Trans. ASAE 44(1): 99-109.
33. Unay, D., and B. Gosselin. 2004. An approach for recognizing stem-end/calyx regions in apple quality sorting. In Proc. Advanced Concepts for Intelligent Vision Systems Conf. (ACIVS 2004). Brussels, Belgium.
34. Wen, Z., and Y. Tao. 1998a. Fuzzy-based determination of model and parameters of dual-wavelength vision system for on-line apple sorting. Opt. Eng. 37(1): 293-299.
35. Wen, Z., and Y. Tao. 1998b. Brightness-invariant image segmentation for on-line fruit defect detection. Opt. Eng. 37(11): 2948-2952.
36. Wen, Z., and Y. Tao. 1999. Building a rule-based machine-vision system for defect inspection on apple sorting and packing lines. Expert Sys. Appl. 16(3): 307-313.
37. Wen, Z., and Y. Tao. 2000. Dual-camera NIR/MIR imaging for stem-end/calyx identification in apple defect sorting. Trans. ASAE 43(2): 449-452.
38. Wyngaerd, J. V., and L. V. Gool. 2002. Coarse registration of surface patches with local symmetries. Lecture Notes in Comput. Sci. 2351: 572.
39. Yang, Q. 1996. Apple stem and calyx identification with machine vision. J. Agric. Eng Res. 63(3): 229-236.
40. Yang, Q., and J. A. Marchant. 1996. Accurate blemish detection with active contour models. Comput. Electron. Agric. 14(1): 77-89.
41. Zhang, R., P.-S. Tsai, J. E. Cryer, and M. Shah 1999. Shape from shading: A survey. IEEE Trans. Pattern Analysis and Machine Intelligence 21(8): 690-706.
42. Zhu, B., L. Jiang, X. Cheng, and Y. Tao. 2005. 3D surface reconstruction of apples from 2D NIR images. Proc. SPIE 6000: 242-251.
43. Zhu, B., L. Jiang, Y. Luo, and Y. Tao. 2007a. Gabor feature-based apple quality inspection using kernel principal component analysis. J. Food Eng. 81(4): 741-749.
44. Zhu, B., L. Jiang, and Y. Tao. 2007b. 3D shape enhanced transform for automatic apple stem-end/calyx identification. Opt. Eng. 46(1): 17201.1-9
45. Zhu, B., L. Jiang, and Y. Tao. 2007c. 3D Surface reconstruction and analysis of apple near-infrared data for the application of apple stem-end/calyx identification. ASABE Paper No. 073074. St. Joseph, Mich.: ASABE.
46. Zion, B., P. Chen, and M. J. McCarthy. 1995. Detection of bruises in magnetic resonance images of apples. Comput. Electron. Agric. 13(4): 289-299.