Abstract
The plant species identification is a manual process performed mainly by botanical scientists based on their experience. In order to improve this task, several plant classification processes has been proposed applying pattern recognition. In this work, we propose a method combining three visual attributes of leaves: boundary shape, texture and color. Complex networks and multi-scale fractal dimension techniques were used to characterize the leaf boundary shape, the Haralick’s descriptors for texture were extracted, and color moments were calculated. Experiments were performed on the ImageCLEF 2012 train dataset, scan pictures only. We reached up to 90.41% of accuracy regarding the leaf-based plant identification problem for 115 species.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bruno, O.M., de Oliveira Plotze, R., Falvo, M., de Castro, M.: Fractal dimension applied to plant identification. Inf. Sci. 178(12), 2722–2733 (2008)
Lee, C.L., Chen, S.Y.: Classification of leaf images. Int. J. Imaging Syst. Technol. 16(1), 15–23 (2006)
Pauwels, E.J., de Zeeuw, P.M., Ranguelova, E.B.: Computer-assisted tree taxonomy by automated image recognition. Eng. Appl. Artif. Intell. 22(1), 26–31 (2009)
Gu, X., Du, J.-X., Wang, X.-F.: Leaf recognition based on the combination of wavelet transform and gaussian interpolation. In: Huang, D.-S., Zhang, X.-P., Huang, G.-B. (eds.) ICIC 2005. LNCS, vol. 3644, pp. 253–262. Springer, Heidelberg (2005)
Backes, A.R., Bruno, O.M.: Shape classification using complex network and multi-scale fractal dimension. Pattern Recogn. Lett. 31(1), 44–51 (2010)
Casanova, D., Florindo, J.B., Gonçalves, W.N., Bruno, O.M.: Ifsc/usp at imageclef 2012: plant identification task. In: Proceeding of CLEF 2012 Labs and Workshop, Notebook Papers (2012)
Arora, A., Gupta, A., Bagmar, N., Mishra, S., Bhattacharya, A.: A plant identification system using shape and morphological features on segmented leaflets: team iitk, clef 2012. In: Proceeding of CLEF 2012 Labs and Workshop, Notebook Papers (2012)
de Oliveira 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). Can. J. Bot. 83(3), 287–301 (2005)
Zhang, X., Zhang, F.: Images features extraction of tobacco leaves. In: Congress on Image and Signal Processing, CISP 2008, vol. 2, 773–776. IEEE (2008)
Man, Q.K., Zheng, C.H., Wang, X.F., Lin, F.Y.: Recognition of plant leaves using support vector machine. In: Huang, D.-S., Wunsch II, D.C., Levine, D.S., Jo, F.-Y. (eds.) ICIC 2008. CCIS, vol. 15, pp. 192–199. Springer, Heidelberg (2008)
Kadir, A., Nugroho, L.E., Susanto, A., Santosa, P.I.: Leaf classification using shape, color, and texture features. arXiv preprint arXiv:1401.4447 (2013)
Choras, R.S.: Image feature extraction techniques and their applications for cbir and biometrics systems. International Journal of Biology and Biomedical Engineering 1(1), 6–16 (2007)
Kebapci, H., Yanikoglu, B., Unal, G.: Plant image retrieval using color, shape and texture features. The Computer Journal (2010) bxq037
Lin, F.Y., Zheng, C.H., Wang, X.F., Man, Q.K.: Multiple classification of plant leaves based on gabor transform and lBP operator. In: Huang, D.-S., Wunsch II, D.C., Levine, D.S., Jo, K.-H. (eds.) ICIC 2008. CCIS, vol. 15, pp. 432–439. Springer, Heildelberg (2008)
Ehsanirad, A.: Plant classification based on leaf recognition. International Journal of Computer Science and Information Security 8(4), 78–81 (2010)
Kadir, A., Nugroho, L.E., Susanto, A., Santosa, P.I.: Neural network application on foliage plant identification. arXiv preprint arXiv:1311.5829 (2013)
Goëau, H., Bonnet, P., Joly, A., Barthelemy, D., Boujemaa, N., Molino, J.: The imageclef 2012 plant image identification task. In: ImageCLEF 2012 Working Notes (2012)
Otsu, N.: A threshold selection method from gray-level histograms. Automatica 11(285–296), 23–27 (1975)
Werbos, P.: Beyond regression: New tools for prediction and analysis in the behavioral sciences. (1974)
Backes, A.R., Casanova, D., Martinez, O.B.: A complex network-based approach for boundary shape analysis. Pattern Recogn. 42, 54–67 (2009)
Barabási, A.L.: Linked: The new science of networks. (2002)
Castañón, C.A.B., Chambi, R.J.: Using complex networks for offline handwritten signature characterization. In: Bayro-Corrochano, E., Hancock, E. (eds.) CIARP 2014. LNCS, vol. 8827, pp. 580–587. Springer, Heidelberg (2014)
Backes, A.R., Martinez, O.: Fractal and multi-scale fractal dimension analysis: a comparative study of bouligand-minkowski method. CoRR abs/1201.3153 (2012)
Shih, J.-L., Chen, L.-H.: Color image retrieval based on primitives of color moments. In: Chang, S.-K., Chen, Z., Lee, S.-Y. (eds.) VISUAL 2002. LNCS, vol. 2314, p. 88. Springer, Heidelberg (2002)
Stricker, M.A., Orengo, M.: Similarity of color images. In: IS&T/SPIE’s Symposium on Electronic Imaging: Science & Technology, International Society for Optics and Photonics, pp. 381–392 (1995)
Haralick, R.M., Shanmugam, K., Dinstein, I.H.: Textural features for image classification. IEEE Transactions on Systems, Man and Cybernetics 6, 610–621 (1973)
Gonzalez, R.C., Woods, R.E.: Digital image processing (2002)
Porebski, A., Vandenbroucke, N., Macaire, L.: Neighborhood and haralick feature extraction for color texture analysis. In: Conference on Colour in Graphics, Imaging, and Vision, Society for Imaging Science and Technology, vol. 2008, pp. 316–321 (2008)
Brilhador, A., Colonhezi, T.P., Bugatti, P.H., Lopes, F.M.: Combining texture and shape descriptors for bioimages classification: a case of study in imageCLEF dataset. In: Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds.) CIARP 2013, Part I. LNCS, vol. 8258, pp. 431–438. Springer, Heidelberg (2013)
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
Oncevay-Marcos, A., Juarez-Chambi, R., Khlebnikov-Núñez, S., Beltrán-Castañón, C. (2015). Leaf-Based Plant Identification Through Morphological Characterization in Digital Images. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9257. Springer, Cham. https://doi.org/10.1007/978-3-319-23117-4_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-23117-4_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23116-7
Online ISBN: 978-3-319-23117-4
eBook Packages: Computer ScienceComputer Science (R0)