Detection of age and defect of grapevine leaves using hyper spectral imaging

Tanmoy Debnath, Sourabhi Debnath, Manoranjan Paul

Research output: Book chapter/Published conference paperConference paper

Abstract

This paper demonstrates the potential of using hyperspectral imaging for detecting age and defects of grapevine leaves. For age detection studies a number of grapevine healthy leaves and for defect detection analysis 9 different defective leaves have been selected. Hyperspectral images of these leaves covered spectral wavelengths from 380 nm to 1000 nm. A number of features from the brightness in ultra violet (UV), visible (VIS) and near infrared (NIR) regions were derived to obtain the correlation of age and defect. From the experimental studies it has been observed that the mean brightness in terms of original reflection in visible range has correlation with different ages of grapevine leaves. Moreover, the position of mean 1st derivative brightness peak in VIS region, variation index of brightness and rate of change of brightness i.e., mean 1st derivative brightness at NIR provide a good indication about the age of the leaves. For defect detection whole area and selective areas containing the defects on the leaves have been experimentally analysed to determine which option provides better defect detection. Variation index of brightness was also employed as a guide to obtain information to distinguish healthy and unhealthy leaves using hyperspectral imaging. The experimental results demonstrated that hyperspectral imaging has excellent potential as a non-destructive as well as a non-contact method to detect age and defects of grapevine leaves.

Original languageEnglish
Title of host publicationImage and Video Technology - 9th Pacific-Rim Symposium, PSIVT 2019, Proceedings
EditorsChilwoo Lee, Zhixun Su, Akihiro Sugimoto
Place of PublicationSwitzerland
PublisherSpringer
Pages92-105
Number of pages14
ISBN (Electronic)9783030348793
ISBN (Print)9783030348786
DOIs
Publication statusPublished - 01 Jan 2019
Event9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019 - Charles Sturt University Study Centre, Sydney, Australia
Duration: 18 Nov 201922 Nov 2019
http://www.psivt.org/psivt2019/
http://www.psivt.org/psivt2019/program.html (program)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11854 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019
CountryAustralia
CitySydney
Period18/11/1922/11/19
Internet address

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