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Leaf image analysis towards plant identification

conference contribution
posted on 2023-05-23, 12:38 authored by Bhattacharyya, D, Kim, TH, Lee, G-S
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.

History

Publication title

Communications in Computer and Information Science

Volume

260

Editors

T-H Kim, H Adeli, C Ramos, B-H Kan

Pagination

113-125

ISBN

978-3-642-27182-3

Department/School

School of Information and Communication Technology

Publisher

Springer, Berlin, Heidelberg

Place of publication

Germany

Event title

Communications in Computer and Information Science 260: Proceedings of the 2011 International Conference on Signal Processing, Image Processing and Pattern Recognition

Event Venue

Jeju Island, South Korea

Date of Event (Start Date)

2011-12-08

Date of Event (End Date)

2011-12-10

Rights statement

Copyright 2011 Springer-Verlag Berlin Heidelberg

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the environmental sciences

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