Defects detection of eggplant fruit using multi spectral images

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

Defects detection of eggplant fruit using multi spectral images

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

Research output: Contribution to conference › Paper

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 language	English
Pages	2381-2384
Number of pages	4
Publication status	Published - Dec 1 2005
Event	SICE Annual Conference 2005 - Okayama, Japan Duration: Aug 8 2005 → Aug 10 2005

Other

Other	SICE Annual Conference 2005
Country	Japan
City	Okayama
Period	8/8/05 → 8/10/05

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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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.

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AU - Chong, V. K.

AU - Kondo, N.

AU - Ninomiya, K.

AU - Monta, M.

AU - Namba, K.

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

KW - Eggplant

KW - Grading

KW - Machine vision

KW - Quality evaluation

KW - Spectral reflectance

KW - TV camera

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