Automated detection of root crowns using Gaussian mixture model and Bayes classification

2012 International Conference on Digital Image Computing Techniques and Applications, DICTA 2012

Volumn , Issue , 2012, Pages

  Kumar, Pankaj ^a   Cai, Jinhai ^a   Miklavcic, Stan ^a  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE ROC CURVE; AUTOMATED DETECTION; AUTOMATIC DETECTION; BAYES CLASSIFICATION; BAYES RULE; BI-LEVEL IMAGES; CLASSIFICATION METHODS; CORNER DETECTION; CURVATURE DETECTION; DIFFERENT CLASS; DIFFERENT ORDER; DISTRIBUTION DENSITY; EXPECTATION - MAXIMIZATIONS; FEATURE VECTORS; GAUSSIAN MIXTURE MODEL; GAUSSIANS; GRASS ROOTS; RECEIVER OPERATING CHARACTERISTIC CURVES; SCALE SPACES; STATISTICAL LEARNING; STATISTICAL LEARNING METHODS; ZERNIKE MOMENTS;

ADAPTIVE SYSTEMS; COVARIANCE MATRIX; EDGE DETECTION; EXPERIMENTS; FEATURE EXTRACTION; SUPPORT VECTOR MACHINES;

IMAGE SEGMENTATION;

EID: 84874369557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2012.6411741     Document Type: Conference Paper

References (20)

1. C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, vol. 2, pp. 121-167, 1998.
2. J. Lynch, "Root architecture and plant productivity," Plant Physiology, vol. 109, pp. 7-13, 1995.
3. G. Hammer, Z. Dong, G. Mclean, A. Doherty, C. Messina, J. Schussler, C. Zinselmeier, S. Paszkiewicz, and M. Cooper, "Can changes in canopy and/or root system architecture explain historical maize yield trends in the U.S. corn belt?" Crop Science, vol. 49, pp. 299-312, 2009.
4. A. Hodge, G. Berta, C. Doussan, F. Merchan, and M. Crespi, "Plant root growth, architecture and function," Plant Soil, vol. 321, no. 1-2, pp. 153-187, May 2009.
5. I. De Smet, P. J. White, A. G. Bengough, L. Dupuy, B. Parizot, I. Casimiro, R. Heidstra, M. Laskowski, M. Lepetit, F. Hochholdinger, X. Draye, H. Zhang, M. R. Broadley, B. Pret, J. P. Hammond, H. Fukaki, S. Mooney, J. P. Lynch, P. Nacry, U. Schurr, L. Laplaze, P. Benfey, T. Beeckman, and M. Bennett, "Analyzing lateral root development: How to move forward," The Plant Cell, vol. 24, no. 1, pp. 15-20, 2012.
6. M. A. Moreno-Risueno, J. M. Van Norman, A. Moreno, J. Zhang, S. E. Ahnert, and P. N. Benfey, "Oscillating gene expression determines competence for periodic arabidopsis root branching," Science, vol. 329, no. 5997, pp. 1306-1311, 2010.
7. J. Traas and T. Vernoux, "Oscillating roots," Science, vol. 329, no. 5997, pp. 1290-1291, 2010.
8. G. Lobet, L. Pags, and X. Draye, "A novel image-analysis toolbox enabling quantitative analysis of root system architecture," Plant Physiology, vol. 157, no. 1, pp. 29-39, 2011.
9. R. T. Clark, R. B. MacCurdy, J. K. Jung, J. E. Shaff, S. R. McCouch, D. J. Aneshansley, and L. V. Kochian, "Three-dimensional root phenotyping with a novel imaging and software platform," Plant Physiology, vol. 156, no. 2, pp. 455-465, 2011.
10. Y. Zheng, S. Gu, H. Edelsbrunner, C. Tomasi, and P. Benfey, "Detailed reconstruction of 3d plant root shape," in IEEE International Conference on Computer Vision, November 2011, pp. 2026-2033.
11. A. Khotanzad and Y. H. Hong, "Invariant image recognition by zernike moments," IEEE Transactions on Pattern Analysis and Machine Intelliegence, vol. 12, pp. 489-497, May 1990.
12. M. R. Teague, "Image analysis via the general theroy of moments," Journal of Optical Society of America, vol. 70, no. 8, pp. 920-930, 1980.
13. X. C. He and N. H. C. Yung, "Corner detector based on global and local curvature properties," Optical Engineering, vol. 47, no. 5, May 2008.
14. A. K. Jain, S. Prabhakar, L. Hong, and S. Pankanti, "Filterbank- based fingerprint matching," IEEE Transactions on Image Processing, vol. 9, pp. 846-859, 2000.
15. A. Rattarangsi and R. Chin, "Scale-based detection of corners of planar curves," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 14, no. 4, pp. 430-449, apr 1992.
16. R. Mukundan and K. R. Ramakrishnan, Moment Functions in Image Analysis: Theory and Application, 3rd ed. World Scientific, 1998.
17. R. Mukundan and K. Ramakrishnan, "Fast computation of legendre and zernike moments," Pattern Recognition, vol. 28, no. 9, pp. 1433-1442, 1995.
18. F. Zernike, "Beugungstheorie des schneidenverfahrens und seiner verbesserten form, der phasenkontrastmethode," Physica, vol. 1, pp. 689-704, 1934.
19. J. Bilmes, "A gentle tutorial of the em algorithm and its application to parameter estimation for gaussian mixture and hidden markov models," Tech. Rep., 1998.
20. C. M. Bishop, Neural Networks for Pattern Recognition. New York, NY, USA: Oxford University Press, Inc., 1995.