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Scanner Image Analysis to Estimate Leaf Area

by Gurjot Kaur, Salam Din, Amandeep Singh Brar, Derminder Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 3
Year of Publication: 2014
Authors: Gurjot Kaur, Salam Din, Amandeep Singh Brar, Derminder Singh
10.5120/18729-9963

Gurjot Kaur, Salam Din, Amandeep Singh Brar, Derminder Singh . Scanner Image Analysis to Estimate Leaf Area. International Journal of Computer Applications. 107, 3 ( December 2014), 5-10. DOI=10.5120/18729-9963

@article{ 10.5120/18729-9963,
author = { Gurjot Kaur, Salam Din, Amandeep Singh Brar, Derminder Singh },
title = { Scanner Image Analysis to Estimate Leaf Area },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 3 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number3/18729-9963/ },
doi = { 10.5120/18729-9963 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:03.898415+05:30
%A Gurjot Kaur
%A Salam Din
%A Amandeep Singh Brar
%A Derminder Singh
%T Scanner Image Analysis to Estimate Leaf Area
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 3
%P 5-10
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Several commercial softwares are available for plant leaf area measurement. But no freeware is available for leaf area calculation. This study proposed a freeware for calculating the plant leaf area. It was hypothesized that if the error between the calculated leaf area and the actual leaf area is low then it could be used for agronomical, physiological as well as other researches. Leaves of Brassica species, turmeric, soybean and wheat with different size and shape were selected for the study. The platform used for image processing and leaf area calculation was DOTNET framework at the front end and SQL server at the back end. A digital scanner was utilized to obtain leaf images. The user can browse the scanned image of a leaf in any image format and the freeware automatically convert it into web compatible image format Joint Photographic Group. For color tonal distribution the histogram of images was computed. The colored image was converted into monochrome image by setting the threshold value in the color matrix. In image processing method leaf area was calculated through pixel number statistic. The results were compared with the results of Leaf Area Meter by Disha Infoway India Private Limited and concluded that the error rate between them is less than ±2% for Brassica species, turmeric, soybean and wheat leaves.

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Index Terms

Computer Science
Information Sciences

Keywords

User Interface Digital Image Processing

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