CLASSIFY THE PLANT SPECIES BASED ON LOBES, SINUSES AND MARGIN
DOI:
https://doi.org/10.11113/jt.v75.4973Keywords:
Leaf classiï¬cation, centroid contour distance, disk filter, ï¬nd the peak, ï¬nd the valleys, lobes, sinuses, teeth, marginAbstract
This paper proposed a novel approach to cluster the species of plants based on their lobes, sinuses and margin. Firstly, all the boundary points in the clockwise or anticlockwise direction were selected. Then, an estimated centre point for leaf boundary points was used to compute the distance between the leaf boundary points and centre point. Next, the peaks and valleys from the distance found stated above were located where peaks represent lobes and valleys represent the sinuses. The number of peak and valleys is calculated to cluster the plant according to the rule-based method. From the results obtained, the accuracy for the plant clustering is up to 100 percent.
References
Wang, J. X. Du, and G. J. Zhang. 2005. Recognition of Leaf Images Based on Shape Features Using a Hypersphere Classifier. In Proceedings of International Conference on Intelligent Computing, Ser. LNCS.
Ye, Y., C. Chen, C. T. Li, H. Fu, and Z. Chi. 2004. A Computerized Plant Species Recognition System. In Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing. Hong Kong. October 2004.
Pornpanomchai, C., C. Kuakiatngam, P. Supapattranon and N. Siriwisesokul. 2011. Leaf And Flower Recognition System (e-botanist). IACSIT International Journal of Engineering and Technology. August 2011. 3(4).
Kadir, A., L. E. Nugroho, A. Susanto and P. I. Santosa. 2011. A Comparative Experiment of Several Shape Methods in Recognizing Plants. International Journal of Computer Science and Information Technology. June 2011.
Kadir, A., L. E. Nugroho, A. Susanto and P. I. Santosa. 2011. Foliage Plant Retrieval Using Polar Fourier Transform, Color Moments and Vein Features. Signal and Image Processing. September 2011.
Pornpanomchai, C., S. Rimdusit, P. Tanasap and C. Chaiyod. 2011. Thai Herb Leaf Image Recognition System (THLIRS). Kasetsart J. (Nat. Sci.).
Kadir, A., L. E. Nugroho, A. Susanto, and P. I. Santosa. 2011. Neural Network Application on Foliage Plant Identification. International Journal of Computer Applications.
Kadir, A., L. E. Nugroho, A. Susanto, and P. I. Santosa. 2011. Leaf Classification Using Shape, Color, and Texture Features. International Journal of Computer Trends and Technology. July to Aug Issue 2011, August 2011.
Bama, B. S., S. M. Valli, S. Raju and V. A. Kumar. 2011. Content Based Leaf Image Retrieval (CBLIR) Using Shape, Color and Texture Features. Indian Journal of Computer Science and Engineering (IJCSE).
Zhang, X. and F. Zhang. 2008. Images Features Extraction of Tobacco Leaves. Congress on Image and Signal Processing.
Gu, X., J. X. Du, and X. F. Wang. 2005. Leaf Recognition Based on the Combination of Wavelet Transform and Gaussian Interpolation. In Proceeding of International Conference on Intelligent Computer. Hefei, China. 23-26 August 2005. 253-262.
Singh, K., I. Gupta, and S. Gupta. 2010. SVM-BDT PNN and Fourier Moment Technique for Classification of Leaf Shape. International Journal of Signal Processing, Image Processing and Pattern Recognition. 3(4): 67-78.
Qi, H., and J. G. Yang. 2003. Sawtooth Feature Extraction of Leaf Edge Based on Support Vector Machine. In Proceedings of the Second International Conference on Machine Learning and Cybernetics. November 2003.
Fu, H., Z. Chi, D. Feng, and J. Song. 2004. Machine Learning Techniques for Ontology-based Leaf Classification. In IEEE 2004 8th International Conference on Control, Automation, Robotics and Vision. Kunming, China. 2004.
Chaki, J. and R. Parekh. 2011. Plant Leaf Recognition Using Shaped Based Features and Neural Network Classifiers. International Journal of Advanced Computer Science and Applications (IJACSA). 2011.
Knight, D., J. Painter, M. Potter. 2010. Automatic Plant Leaf Classification for a Mobile Field Guide. Rapport rechnique, Universite de Stanford.
Beghin, T., J. S. Cope, P. Remagnino, and S. Barman. 2012. Shape and Texture Based Plant Leaf Classification. Digital Imaging Research Centre.
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