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Leaf image analysis towards plant identification


Bhattacharyya, D and Kim, TH and Lee, G-S, Leaf image analysis towards plant identification, Communications in Computer and Information Science, 8-10 December 2011, Jeju Island, South Korea, pp. 113-125. ISBN 978-3-642-27182-3 (2011) [Refereed Conference Paper]

Copyright Statement

Copyright 2011 Springer-Verlag Berlin Heidelberg

DOI: doi:10.1007/978-3-642-27183-0_13


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.

Item Details

Item Type:Refereed Conference Paper
Keywords:image processing, pattern recognition, image segmentation, classification
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Image processing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the environmental sciences
UTAS Author:Kim, TH (Dr Tai Kim)
ID Code:120709
Year Published:2011
Deposited By:Information and Communication Technology
Deposited On:2017-08-30
Last Modified:2018-03-14

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