Abstract
The leaves are an important plant organ and source of information for the traditional plant taxonomy. This study proposes a plant classification approach using the adaxial epidermis tissue, a specific cell layer that covers the leaf. To accomplish this task, we apply a high discriminative color texture analysis method based on the Bouligand-Minkowski fractal dimension. In an experimental comparison, the success rate obtained by our proposed approach (\(96.66\%\)) was the highest among all the methods used, demonstrating that the Bouligand-Minkowski method is very suitable to extract discriminant features from the adaxial epidermis. Thus, this research can significantly contribute with other studies on plant classification by using computer vision.
Chapter PDF
Similar content being viewed by others
References
Plotze, R.O., Pádua, J.G., Falvo, M., Bernacci, L.C., Oliveira, G.C.X., Vieira, M.L.C., 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 - Revue Canadienne de Botanique 83(3), 287–301 (2005)
Casanova, D., Junior, J.J.M.S., Bruno, O.M.: Plant leaf identification using Gabor wavelets. International Journal of Imaging Systems and Technology 19(1), 236–243 (2009)
Sá Junior, J.J.M., Rossatto, D.R., Kolb, R.M., Bruno, O.M.: A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera. Ecological Informatics 15, 34–43 (2013)
Backes, A.R., Casanova, D., Bruno, O.M.: Plant leaf identification based on volumetric fractal dimension. IJPRAI 23(6), 1145–1160 (2009)
Haralick, R.M.: Statistical and structural approaches to texture. Proc. IEEE 67(5), 786–804 (1979)
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)
Laine, A., Fan, J.: Texture classification by wavelet packet signatures. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(11), 1186–1191 (1993)
Backes, A.R., Gonçalves, W.N., Martinez, A.S., Bruno, O.M.: Texture analysis and classification using deterministic tourist walk. Pattern Recognition 43(3), 685–694 (2010)
Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Analysis and Machine Intelligence 24(7), 971–987 (2002)
Sá Junior, J.J.M., Backes, A.R.: A simplified gravitational model to analyze texture roughness. Pattern Recognition 45(2), 732–741 (2012)
Sá Junior, J.J.M., Backes, A.R., Cortez, P.C.: Texture analysis and classification using shortest paths in graphs. Pattern Recognition Letters 34(11), 1314–1319 (2013)
Palm, C.: Color texture classification by integrative co-occurrence matrices. Pattern Recognition 37(5), 965–976 (2004)
Drimbarean, A., Whelan, P.F.: Experiments in colour texture analysis. Pattern Recognition Letters 22(10), 1161–1167 (2001)
Porebski, A., Vandenbroucke, N., Macaire, L.: Haralick feature extraction from LBP images for color texture classification. In: Image Processing Theory, Tools and Applications, pp. 1–8 (2008)
Backes, A.R., Casanova, D., Bruno, O.M.: Color texture analysis based on fractal descriptors. Pattern Recognition 45(5), 1984–1992 (2012)
Mandelbrot, B.: The fractal geometry of nature. Freeman & Co. (2000)
Tricot, C.: Curves and Fractal Dimension. Springer (1995)
Backes, A.R., de M. Sá Junior, J.J., Kolb, R.M., Bruno, O.M.: Plant Species identification using multi-scale fractal dimension applied to images of adaxial surface epidermis. In: Jiang, X., Petkov, N. (eds.) CAIP 2009. LNCS, vol. 5702, pp. 680–688. Springer, Heidelberg (2009)
Everitt, B.S., Dunn, G.: Applied Multivariate Analysis. 2nd edition edn. Arnold (2001)
Hoang, M.A., Geusebroek, J.M., Smeulders, A.W.M.: Color texture measurement and segmentation. Signal Processing 85(2), 265–275 (2005)
Paschos, G., Petrou, M.: Histogram ratio features for color texture classification. Pattern Recognition Letters 24(1–3), 309–314 (2003)
Bianconi, F., Fernández, A., González, E., Caride, D., Calvino, A.: Rotation-invariant colour texture classification through multilayer CCR. Pattern Recognition Letters 30(8), 765–773 (2009)
Liu, G.H., Li, Z., Zhang, L., Xu, Y.: Image retrieval based on micro-structure descriptor. Pattern Recognition 44(9), 2123–2133 (2011)
Sá Junior, J.J.M., Backes, A.R., Rossatto, D.R., Kolb, R.M., Bruno, O.M.: Measuring and analyzing color and texture information in anatomical leaf cross sections: an approach using computer vision to aid plant species identification. Botany 89(7), 467–479 (2011)
Richards, J.A., Jia, X.: Remote Sensing Digital Image Analysis: An Introduction, 3rd edn. Springer-Verlag New York Inc., Secaucus (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Backes, A.R., de Mesquita Sá Junior, J.J., Kolb, R.M. (2015). Color Fractal Descriptors for Adaxial Epidermis Texture Classification. In: Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science(), vol 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-25751-8_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25750-1
Online ISBN: 978-3-319-25751-8
eBook Packages: Computer ScienceComputer Science (R0)
