Egg weight detection on machine vision system

Yike Cen; Yibin Ying; Xiuqin Rao

doi:10.1117/12.686479

23 October 2006 Egg weight detection on machine vision system

Yike Cen, Yibin Ying, Xiuqin Rao

Proceedings Volume 6381, Optics for Natural Resources, Agriculture, and Foods; 638114 (2006) https://doi.org/10.1117/12.686479
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

Abstract

A machine vision system for egg weight detection was developed. Egg image was grabbed by a CCD camera and a frame grabber. An indicator composed of R, G, B intensity was used for image segmentation. A series of algorithms were developed to evaluate egg's vertical diameter, maximal horizontal diameter, upper horizontal diameter and nether horizontal diameter. Based on extracted four size features of vertical and maximal/upper/nether horizontal diameter, a regression model between egg's weight and its size was established using SAS, which was used to detect egg's weight. The experiment results indicated that, for egg weight detection on the machine vision system, the correlative coefficient of the regression model was 0.9781 and the absolute error was no more than ±3 g, which would be lower work load on human graders and an increased flexibility in the egg quality control process in egg's industrialization.

Citation Download Citation

Yike Cen, Yibin Ying, and Xiuqin Rao "Egg weight detection on machine vision system", Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 638114 (23 October 2006); https://doi.org/10.1117/12.686479

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available