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Plant Leaf Recognition using Gabor Filter

by Jyotismita Chaki, Ranjan Parekh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 10
Year of Publication: 2012
Authors: Jyotismita Chaki, Ranjan Parekh
10.5120/8927-3000

Jyotismita Chaki, Ranjan Parekh . Plant Leaf Recognition using Gabor Filter. International Journal of Computer Applications. 56, 10 ( October 2012), 26-29. DOI=10.5120/8927-3000

@article{ 10.5120/8927-3000,
author = { Jyotismita Chaki, Ranjan Parekh },
title = { Plant Leaf Recognition using Gabor Filter },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 10 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number10/8927-3000/ },
doi = { 10.5120/8927-3000 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:58:28.970595+05:30
%A Jyotismita Chaki
%A Ranjan Parekh
%T Plant Leaf Recognition using Gabor Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 10
%P 26-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes an automated system for recognizing plant species based on leaf images. Plant leaf images of three plant types are analyzed using Gabor Filter by varying the filter parameters. Leaf images are convolved with Gabor filters followed by a separation of the real and imaginary portions of the signal. Absolute difference between the real and imaginary signals form the scalar feature value used for discrimination. Associated parameters like filter size, standard deviation, phase shift and orientation are varied to investigate which combination provides the best recognition accuracies. Classification is done by subtracting the test samples from the mean of the training set. The data set consists of 120 images divided into 3 classes. Accuracy obtained is comparable to the best results reported in literature.

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Index Terms

Computer Science
Information Sciences

Keywords

Gabor Filter Leaf Classification

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