High-resolution method for locating round objects in large-distortion image

Zhanghua Huang; Hao Zhang; Meng Li; Huaiyu Cai

doi:10.1117/12.481738

5 September 2002 High-resolution method for locating round objects in large-distortion image

Zhanghua Huang, Hao Zhang, Meng Li, Huaiyu Cai

Proceedings Volume 4921, Optical Manufacturing Technologies; (2002) https://doi.org/10.1117/12.481738
Event: Photonics Asia, 2002, Shanghai, China

Abstract

Accurate object location is a key problem in image measurement system and the basis of other image processing procedures. In our project, we aim to locate some chromatic round objects in a large field. In this paper, the regions where the objects lie are isolated firstly from the original image using their color information, in which the edges of objects are detected. A novel fast method for fitting an ellipse to the edge points in the region is presented, by which the geometric distortion is calibrated by the ellipse model calculated linearly according to the position of the region. And the position of object with the precision of one pixel is obtained through edge fitting. Finally the accurate data in 1/5 pixel result from subpixel subdivision.

Citation Download Citation

Zhanghua Huang, Hao Zhang, Meng Li, and Huaiyu Cai "High-resolution method for locating round objects in large-distortion image", Proc. SPIE 4921, Optical Manufacturing Technologies, (5 September 2002); https://doi.org/10.1117/12.481738

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