Digital image analysis to measure lesion area of cucumber anthracnose by Colletotrichum orbiculare

Min Sun Kwack, Eui Nam Kim, Hojoung Lee, Jin Won Kim, Se Chul Chun, Ki Deok Kim

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

A method was developed using scanned computer images and software programs to measure the lesion area on leaves with cucumber anthracnose caused by Colletotrichum orbiculare. After cucumber plants were inoculated with various concentrations of conidia, lesions on diseased leaves were scanned, manipulated with Adobe Photoshop 6.0, and measured using the blob analysis feature in Matrox Inspector 2.2. The method requires relatively low-cost equipment including a scanner, a personal computer, and two programs: Adobe Photoshop 6.0 and Matrox Inspector 2.2. Because stored images are used, the lesion area can be measured as time permits. Processing the images requires about 3min per sample. The image assessment accurately detected anthracnose lesions on cucumber leaves and could be applied to other foliar necrotic or spot diseases.

Original languageEnglish
Pages (from-to)418-421
Number of pages4
JournalJournal of General Plant Pathology
Volume71
Issue number6
DOIs
Publication statusPublished - 2005 Dec 1

Fingerprint

Colletotrichum orbiculare
lesions (plant)
anthracnose
digital images
cucumbers
image analysis
leaves
scanners
conidia
methodology
sampling

Keywords

  • Anthracnose
  • Colletotrichum orbiculare
  • Disease quantification
  • Image analysis
  • Lesion area

ASJC Scopus subject areas

  • Plant Science

Cite this

Digital image analysis to measure lesion area of cucumber anthracnose by Colletotrichum orbiculare. / Kwack, Min Sun; Kim, Eui Nam; Lee, Hojoung; Kim, Jin Won; Chun, Se Chul; Kim, Ki Deok.

In: Journal of General Plant Pathology, Vol. 71, No. 6, 01.12.2005, p. 418-421.

Research output: Contribution to journalArticle

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