Two-stage high-precision visual inspection of surface mount devices

Hong Kyu Chung; Rae-Hong Park

doi:10.1117/12.276900

1 October 1997 Two-stage high-precision visual inspection of surface mount devices

Hong Kyu Chung, Rae-Hong Park

Author Affiliations +

Journal of Electronic Imaging, Vol. 6, Issue 4, (October 1997). https://doi.org/10.1117/12.276900

Abstract

A two-stage high-precision algorithm for detecting the orientation and position of the surface mount device (SMD) is described. In the preprocessing step, a coarse orientation of the SMD is obtained by line fitting. A high-precision fuzzy Hough transform (FHT) is applied to the corner points to estimate precisely the orientation of the device, with its position determined by using four detected corner points. The FHT employed has a real-valued accumulator over the limited range of angles that is determined in the preprocessing step. Computer simulation with a number of test images shows that the parameters obtained by the presented algorithm are more accurate than those by conventional methods such as the moment method, projection method, and Hough transform methods. It can be applied to fast and accurate automatic inspection and placement systems.

Citation Download Citation

Hong Kyu Chung and Rae-Hong Park "Two-stage high-precision visual inspection of surface mount devices," Journal of Electronic Imaging 6(4), (1 October 1997). https://doi.org/10.1117/12.276900

Published: 1 October 1997

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