Abstract
Plants can be classified and identified by naturally or artificially as per the botanists. Plants can be identified by their leaves also. There are different varieties of plants grown throughout the world. Their identifications are studied using various laboratory methods. The morphological and genetically characteristics are employed to classify different leafs as well as plants. However, the presence of wide morphological varieties through evolution among the various leaf cultivars made it more complex and difficult to classify them. Leaf structures play a very crucial role in determining the characteristics of a plant. The broad and narrow shaped leaves, leaf arrangement, leaf margin characteristics features which differentiate various leaf of a plant. In this paper, we propose the methods to identify the leaf using an image analysis based approach.
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Bhattacharyya, D., Kim, Th., Lee, Gs. (2011). Leaf Image Analysis towards Plant Identification. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_13
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DOI: https://doi.org/10.1007/978-3-642-27183-0_13
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