A new 2D histogram scheme for colour image Segmentation

Imaging Science Journal

Volumn 57, Issue 5, 2009, Pages 260-265

  Zennouhi, R ^a   Masmoudi, L H ^a  

^a FACULTÉ DES SCIENCES   (Morocco)

Author keywords

2D histogram; Analysis; Colour image; HSV space; Segmentation

Indexed keywords

EID: 70350225845     PISSN: 13682199     EISSN: 1743131X     Source Type: Journal    
DOI: 10.1179/136821909X12490307952874     Document Type: Article

References (28)

1. Cheng, H. D., Jiang, X. H., Sun, Y. and Wang, J. Color image segmentation: advances and prospects. Patt. Recogn., 2001, 34, 2259-2281.
2. Zugaj, D. and Lattuati, V. A new approach of color images segmentation based on fusing region and edge segmentation outputs. Patt. Recogn., 1998, 31, 105-113.
3. Tremeau, A. and Borel, N. A region growing and merging algorithm to color segmentation. Patt. Recogn., 1998, 30, 1191-1203.
4. Schettini, R. A segmentation algorithm for color images. Patt. Recogn. Lett., 1993, 14, 499-506.
5. Maxwell, B. A. and Shafer, S. A. Physics-based segmentation: looking beyond color, Proc. Image Understanding Workshop, Palm Springs, CA, USA, February 1996, ARPA, pp. 867-878.
6. Bouda, B., Masmoudi, Lh. and Aboutajdine, D. CVVEFM: Cubical voxels and virtual electric field model for detection in color images. Signal Process., 2008, 88, 905-915.
7. Sezgin, M. and Sankur, B. Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imag., 2004, 13, 146-165.
8. Onyango, C. M. and Marchant, J. A. Physics-based colour image segmentation for scenes containing vegetation and soil. Image Vision Comput., 2001, 19, 523-538.
9. Clément, A. and Vigouroux, B. Un histogramme compact pour l'analyse d'images multi-composantes, Actes du 18e Colloque sur le Traitement du Signal et des Images: GRETSI'01, Toulouse, France, September 2001, Centre de congrès Pierre Baudis, Vol. 1, pp. 305-307.
10. Uchiyama, T. and Arbib, M. Color image segmentation using competitive learning. IEEE Trans. Pattern Anal. Mach. Intell., 1994, 16, 1197-1206.
11. Lezoray, O. and Cardot, H. Hybrid color image segmentation using 2D histogram clustering and region merging, Proc. Int. Conf. on Image and signal processing: ICISP'03, Agadir, Maroc, June 2003, IARR, Vol. 1, pp. 22-29.
12. Kurugollu, F., Sankur, B. and Harmanci, A. Color image segmentation using histogram multithresholding and fusion. Image and Vision Comput., 2001, 19, 915- 928.
13. Clément, A. and Vigouroux, B. Unsupervised segmentation of scenes containing vegetation (Forsythia) and soil by hierarchical analysis of bi-dimensional histograms. Patt. Recogn. Lett., 2003, 24, 1951-1957.
14. Clément, A. 'Algorithmes et outils informatiques pour l'analyse d'images couleur. Application à l'étude de coupes histologiques de baies de raisin en microscopie optique', PhD thesis, Université d'Angers, Angers, France, 2002.
15. Ortega, M., Rui, Y., Chakrabarti, K., Warshavsky, A., Mehrotra, S. and Huang, T. S. Supporting ranked boolean similarity queries in MARS. IEEE Trans. Knowl. Data Eng., 1998, 10, 905-925.
16. Qi, X. J., Qi, J. and Wu, Y. J. RootLM: a simple color image analysis program for length measurement of primary roots in Arabidopsis. Plant Root, 2007, 1, 10- 16.
17. Sural, S., Qian, G. and Pramanik, S. Segmentation and histogram generation using the HSV color space for image retrieval, Proc. Int. Conf. on Image processing: ICIP'02, Rochester, NY, USA, September 2002, IEEE, Vol. 2, pp. II589-II592.
18. Abutaleb, A. S. Automatic thresholding of gray-level pictures using two-dimensional entropy. Comput. Graph. Vision Image Process., 1989, 47, 22-32.
19. Zhang, Y. F. and Zhang, Y. Another method of building 2D entropy to realize automatic segmentation. J. Phys. Conf. Ser., 2006, 48, 303-307.
20. Vincent, L. and Soille, P. Watersheds in digital spaces: an efficient algorithm based on immersion simulation. IEEE Trans. Patt. Anal. Mach. Intell., 1991, 13, 583-598.
21. Borsotti, M., Campadelli, P. and Schettini, R. Quantitative evaluation of color image segmentation results. Patt. Recogn. Lett., 1998, 19, 741-747.
22. Gillet, A., Macaire, L., Botte-Lecocq, C. and Postaire, J. G. In Fuzzy Filters for Image Processing - Studies in Fuzziness and Soft Computing (Ed. M. Nachtegael, D. van der Weken, D. van de Ville and E. E. Kerre), 2002, pp. 154-177 (Springer-Verlag, New York).
23. Macaire, L., Vandenbroucke, N. and Postaire, J. G. Color image segmentation by analysis of subset connectedness and color homogeneity properties. Comput. Vision Image Understand., 2006, 102, 105-116.
24. Lichtenthaler, H. K. Vegetation stress: an introduction to the stress concept in plants. J. Plant Physiol., 1996, 148, 4-14.
25. Tezara, W., Mitchell, V. J., Driscoll, S. D. and Lawlor, D. W. Water stress inhibits plant photosynthesis by decreasing coupling factor and ATP. Nature, 1999, 401, 914-917.
26. Penuelas, J. and Filella, I. Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends Plant Sci., 1998, 3, 151-156.
27. Govindjee and Nedbal, G. L. Seeing is believing. Photosynthetica, 2000, 38, 481-482.
28. Chaerle, L. and van der Straeten, D. Seeing is believing: imaging techniques to monitor plant health. Biochim. Biophys. Acta, 2001, 1519, 153-166.