Abstract
Manual Plant identification done by experts is tedious and time consuming. This process needs to be automatic and easy to handle by the different stakeholders. In this paper, we propose an original method for plant species recognition, based on the leaf observation. We consider two sources of information: the leaf margin and the leaf salient points. For the leaf shape description, we investigate the shape context descriptor and two multiscale triangular approaches: the well-known triangle area representation (TAR) and the triangle side length representation (TSL). We propose then their combination with a shape-context based descriptor that represents the spatial correlation between the leaf salient points and the leaf margin. Experiments are carried out on three public leaf datasets. Results show that our approach achieves a high retrieval accuracy and outperforms state-of-art methods.
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References
Alajlan, N., Kamel, M., Freeman, G.: Geometry-based image retrieval in binary image databases. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(6), 1003–1013 (2008)
Alajlan, N., Rube, I.E., Kamel, M.S., Freeman, G.: Shape retrieval using triangle-area representation and dynamic space warping. Pattern Recognition 40(7), 1911–1920 (2007)
Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(4), 509–522 (2002)
Caballero, C., Aranda, M.C.: Plant species identification using leaf image retrieval. In: ACM International Conference on Image and Video Retrieval (CIVR), pp. 327–334 (2010)
Cope, J.S., Corney, D., Clark, J.Y., Remagnino, P., Wilkin, P.: Plant species identification using digital morphometrics: A review. Expert Systems with Applications 39(8), 7562–7573 (2012)
Du, J.X., Wang, X.F., Zhang, G.J.: Leaf shape based plant species recognition. Applied Mathematics and Computation 185(2), 883–893 (2007)
El Rube, I., Alajlan, N., Kamel, M., Ahmed, M., Freeman, G.: Robust multiscale triangle-area representation for 2D shapes. In: IEEE International Conference on Image Processing, ICIP 2005, vol. 1, pp. I– 545–I–548 (September 2005)
Goëau, H., Bonnet, P., Joly, A., Boujemaa, N., Barthelemy, D., Molino, J.F., Birnbaum, P., Mouysset, E., Picard, M.: The CLEF 2011 plant images classification task. In: CLEF (Notebook Papers/Labs/Workshop) (2011)
Goëau, H., Bonnet, P., Joly, A., Yahiaoui, I., Barthélémy, D., Boujemaa, N., Molino, J.F.: The IMAGECLEF 2012 Plant identification Task. In: CLEF 2012, Rome, Italy (September 2012)
Ip, H.H., Shen, D.: An affine-invariant active contour model (ai-snake) for model-based segmentation. Image and Vision Computing 16(2), 135–146 (1998)
Joly, A., Buisson, O.: A posteriori multi-probe locality hashing. In: 16th ACM International Conference on Multimedia, pp. 209–218 (2008)
Jović, M., Hatakeyama, Y., Dong, F., Hirota, K.: Image retrieval based on similarity score fusion from feature similarity ranking lists. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds.) FSKD 2006. LNCS (LNAI), vol. 4223, pp. 461–470. Springer, Heidelberg (2006)
Laga, H., Kurtek, S., Srivastava, A., Golzarian, M., Miklavcic, S.: A riemannian elastic metric for shape-based plant leaf classification. In: Digital Image Computing: Techniques and Applications (2012)
Ling, H., Jacobs, D.: Shape classification using the inner-distance. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(2), 286–299 (2007)
Mingqiang, Y., Kidiyo, K., Joseph, R.: A survey of shape feature extraction techniques. In: Pattern Recognition Techniques, Technology and Applications. InTech (2008) ISBN: 978-953-7619-24-4
Mokhtarian, F., Abbasi, S.: Matching shapes with self-intersections: application to leaf classification. IEEE Transactions on Image Processing 13(5), 653–661 (2004)
Mokhtarian, F., Abbasi, S., Kittler, J.: Robust and efficient shape indexing through curvature scale space. In: British Machine Vision Conference, BMVC (1996)
Mouine, S., Yahiaoui, I., Verroust-Blondet, A.: Advanced shape context for plant species identification using leaf image retrieval. In: 2nd ACM International Conference on Multimedia Retrieval, ICMR 2012, pp. 49:1–49:8 (2012)
Nam, Y., Hwang, E., Kim, D.: A similarity-based leaf image retrieval scheme: Joining shape and venation features. Computer Vision and Image Understanding 110(2), 245–259 (2008)
Neto, J.C., Meyer, G.E., Jones, D.D., Samal, A.K.: Plant species identification using elliptic Fourier leaf shape analysis. Computers and Electronics in Agriculture 50(2), 121–134 (2006)
Shen, D., Wong, W., Ip, H.: Affine-invariant image retrieval by correspondence matching of shapes (May 1999)
Shen, D., Ip, H.H., Teoh, E.K.: Affine invariant detection of perceptually parallel 3d planar curves. Pattern Recognition 33(11), 1909–1918 (2000)
Wu, S., Bao, F., Xu, E., Wang, Y.X., Chang, Y.F., Xiang, Q.L.: A leaf recognition algorithm for plant classification using probabilistic neural network. In: 2007 IEEE International Symposium on Signal Processing and Information Technology, pp. 11–16 (December 2007)
Xie, J., Heng, P.A., Shah, M.: Shape matching and modeling using skeletal context. Pattern Recogn. 41(5), 1756–1767 (2008)
Yahiaoui, I., Mzoughi, O., Boujemaa, N.: Leaf shape descriptor for tree species identification. In: Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, ICME 2012, pp. 254–259 (2012)
Zahn, C.T., Roskies, R.Z.: Fourier descriptors for plane closed curves. IEEE Trans. Comput. 21(3), 269–281 (1972)
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Mouine, S., Yahiaoui, I., Verroust-Blondet, A. (2013). Combining Leaf Salient Points and Leaf Contour Descriptions for Plant Species Recognition. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_24
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DOI: https://doi.org/10.1007/978-3-642-39094-4_24
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