Defects detection of eggplant fruit using multi spectral images

V. K. Chong, N. Kondo, K. Ninomiya, M. Monta, K. Namba

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

An eggplant fruit grading machine system was developed and introduced at Okayama, 2002. However the color TV camera that has the sensitivity of 400-700 nm corresponding to human eyes has limitation in discriminating some defects on the eggplant fruits surface due to the characteristic of the defects that have very low colors contrast with normal surface. It is known that reflectance of most of fruit skins is much higher in near infrared spectrum than in visible spectrum. Photo-diodes used in CCD originally have high sensitivity till the near infrared spectrum. In this paper, the capability of color TV camera that has the sensitivity ranging from visible region to near infrared region was investigated for defects detection on eggplant fruit.

Original languageEnglish
Pages2381-2384
Number of pages4
Publication statusPublished - Dec 1 2005
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: Aug 8 2005Aug 10 2005

Other

OtherSICE Annual Conference 2005
CountryJapan
CityOkayama
Period8/8/058/10/05

Keywords

  • Eggplant
  • Grading
  • Machine vision
  • Quality evaluation
  • Spectral reflectance
  • TV camera

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Chong, V. K., Kondo, N., Ninomiya, K., Monta, M., & Namba, K. (2005). Defects detection of eggplant fruit using multi spectral images. 2381-2384. Paper presented at SICE Annual Conference 2005, Okayama, Japan.