Share Email Print

Proceedings Paper

Laser scatter feature of surface defect on apples
Author(s): Xiuqin Rao; Yibin Ying; YiKe Cen; Haibo Huang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A machine vision system for real-time fruit quality inspection was developed. The system consists of a chamber, a laser projector, a TMS-7DSP CCD camera (PULNIX Inc.), and a computer. A Meteor-II/MC frame grabber (Matrox Graphics Inc.) was inserted into the slot of the computer to grab fruit images. The laser projector and the camera were mounted at the ceiling of the chamber. An apple was put in the chamber, the spot of the laser projector was projected on the surface of the fruit, and an image was grabbed. 2 breed of apples was test, Each apple was imaged twice, one was imaged for the normal surface, and the other for the defect. The red component of the images was used to get the feature of the defect and the sound surface of the fruits. The average value, STD value and comentropy Value of red component of the laser scatter image were analyzed. The Standard Deviation value of red component of normal is more suitable to separate the defect surface from sound surface for the ShuijinFuji apples, but for bintang apples, there is more work need to do to separate the different surface with laser scatter image.

Paper Details

Date Published: 23 October 2006
PDF: 7 pages
Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 638113 (23 October 2006); doi: 10.1117/12.686065
Show Author Affiliations
Xiuqin Rao, Zhejiang Univ. (China)
Yibin Ying, Zhejiang Univ. (China)
YiKe Cen, Zhejiang Univ. (China)
Haibo Huang, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 6381:
Optics for Natural Resources, Agriculture, and Foods
Yud-Ren Chen; George E. Meyer; Shu-I Tu, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?