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Leaf image analysis towards plant identification
Citation
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
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.
Item Details
Item Type: | Refereed Conference Paper |
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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 |
Downloads: | 0 |
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