Plant leaf identification using multi-scale fractal dimension

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5716 LNCS, Issue , 2009, Pages 143-150

  Backes, André R ^a   Bruno, Odemir M ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Complexity; Multi scale fractal dimension; Plant identification; Texture analysis

Indexed keywords

CO-OCCURRENCE-MATRIX; COMPLEXITY; COMPLEXITY ANALYSIS; FEATURE VECTORS; FOURIER DESCRIPTORS; GABOR FILTER; MULTISCALES; PLANT IDENTIFICATION; PLANT LEAF; SPATIAL SCALE; TEXTURE ANALYSIS; TEXTURE ANALYSIS METHOD; TEXTURE COMPLEXITY; TIME-CONSUMING TASKS;

BIODIVERSITY; IMAGE ANALYSIS; PARTIAL DISCHARGES; TEXTURES;

FRACTAL DIMENSION;

EID: 76249125560     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04146-4_17     Document Type: Conference Paper

References (31)

1. Judd, W., Campbell, C., Kellog, E., Stevens, P.: Plant Systematics: A Phylogenetic Approach. Sinauer Associates, Massachusetts (1999)
2. Kurmann, M.H., Hemsley, A.R.: The Evolution of Plant Architecture. Royal Botanic Gardens, Kew (1999)
3. Hickey, L.R.: Classification of archictecture of dicotyledonous leaves. Amer. J. Bot. 60(1), 17-33 (1973)
4. Haralick, R.M.: Statistical and structural approaches to texture. Proc. IEEE 67(5), 786-804 (1979)
5. Murino, V., Ottonello, C., Pagnan, S.: Noisy texture classification: A higher-order statistics approach. Pattern Recognition 31(4), 383-393 (1998)
6. Shen, L., Bai, L.: A review on gabor wavelets for face recognition. Pattern Anal. Appl. 9(2-3), 273-292 (2006)
7. Bianconi, F., Fernández, A.: Evaluation of the effects of gabor filter parameters on texture classification. Pattern Recognition 40(12), 3325-3335 (2007)
8. Jain, A.K., Farrokhnia, F.: Unsupervised texture segmentation using Gabor filters. Pattern Recognition 24(12), 1167-1186 (1991)
9. Daugman, J., Downing, C.: Gabor wavelets for statistical pattern recognition. In: Arbib, M.A. (ed.) The Handbook of Brain Theory and Neural Networks, pp. 414-419. MIT Press, Cambridge (1995)
10. Manjunath, B.S., Ma, W.-Y.: Texture features for browsing and retrieval of image data. IEEE Trans. Pattern Anal. Mach. Intell 18(8), 837-842 (1996)
11. Azencott, R., Wang, J.-P., Younes, L.: Texture classification using windowed fourier filters. IEEE Trans. Pattern Anal. Mach. Intell 19(2), 148-153 (1997)
12. Bajcsy, R.K.: Computer identification of visual surfaces. Computer Graphics Image Processing 2, 118-130 (1973)
13. Sengür, A., Türkoglu, I., Ince, M.C.: Wavelet packet neural networks for texture classification. Expert Syst. Appl. 32(2), 527-533 (2007)
14. Unser, M.: Texture classification and segmentation using wavelet frames. IEEE Trans. Image Processing 4(11), 1549-1560 (1995)
15. Huang, P.W., Dai, S.K., Lin, P.L.: Texture image retrieval and image segmentation using composite sub-band gradient vectors. J. Visual Communication and Image Representation 17(5), 947-957 (2006)
16. Kaplan, L.M.: Extended fractal analysis for texture classification and segmentation. IEEE Transactions on Image Processing 8(11), 1572-1585 (1999)
17. Schroeder, M.: Fractals, Chaos, Power Laws: Minutes From an Infinite Paradise. W.H. Freeman, New York (1996)
18. Tricot, C.: Curves and Fractal Dimension. Springer, Heidelberg (1995)
19. Backes, A.R., Bruno, O.M.: A new approach to estimate fractal dimension of texture images. In: Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D. (eds.) ICISP 2008 2008. LNCS, vol. 5099, pp. 136-143. Springer, Heidelberg (2008)
20. Chen, Y.Q., Bi, G.: On texture classification using fractal dimension. IJPRAI 13(6), 929-943 (1999)
21. de O. Plotze, R., Falvo, M., Pádua, J.G., Bernacci, L.C., Vieira, M.L.C., Oliveira, G.C.X., Bruno, O.M.: Leaf shape analysis using the multiscale minkowski fractal dimension, a new morphometric method: a study with passiflora (passifloraceae). Canadian Journal of Botany 83(3), 287-301 (2005)
22. Li, J., Sun, C., Du, Q.: A new box-counting method for estimation of image fractal dimension. In: International Conference on Image Processing, pp. 3029-3032 (2006)
23. da F. Costa, L., Cesar Jr., R.M.: Shape Analysis and Classification: Theory and Practice. CRC Press, Boca Raton (2000)
24. Carlin, M.: Measuring the complexity of non-fractal shapes by a fractal method. PRL: Pattern Recognition Letters 21(11), 1013-1017 (2000)
25. Bruno, O.M., de O. Plotze, R., Falvo, M., de Castro, M.: Fractal dimension applied to plant identification. Information Sciences 178, 2722-2733 (2008)
26. Emerson, C.W., Lam, N.N., Quattrochi, D.A.: Multi-scale fractal analysis of image texture and patterns. Photogrammetric Engineering and Remote Sensing 65(1), 51-62 (1999)
27. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentic-Hall, New Jersey (2002)
28. Everitt, B.S., Dunn, G.: Applied Multivariate Analysis, 2nd edn. Arnold (2001)
29. Fukunaga, K.: Introduction to Statistical Pattern Recognition, 2nd edn. Academic Press, London (1990)
30. Smith, G.D.: Numerical Solution of Partial Differential Equations: Finite Difference Methods, 3rd edn., Oxford (1986)
31. Idrissa, M., Acheroy, M.: Texture classification using gabor filters. Pattern Recognition Letters 23(9), 1095-1102 (2002)