A Pipeline Architecture For Real-Time Connected Components Labeling

James S. J. Lee; C. Lin

doi:10.1117/12.948999

21 March 1989 A Pipeline Architecture For Real-Time Connected Components Labeling

James S. J. Lee, C. Lin

Proceedings Volume 1004, Automated Inspection and High-Speed Vision Architectures II; (1989) https://doi.org/10.1117/12.948999
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

A pipeline based connected components labeling architecture is described; the algorithm (an extension of Rosenfeld et al. (1966)) and architecture were verified by software simulation. The transitive closure label equivalence process is performed by a content addressable memory. The scheme takes full advantage of the concurrent memory operations provided by content addressable memory, and performs the connected components labeling in only two pipeline frames, independent of the complexity of component shapes in the input image. The connected components labeling module can work in conjunction with the existing feature and moment extraction hardware. The pipeline based architecture allows other image processing operations to be performed in the same pipeline preceding the connected components labeling module. Thus, the connected components operations effectively take no additional operation time. This simple architecture should be low cost and easy to implement in hardware.

Citation Download Citation

James S. J. Lee and C. Lin "A Pipeline Architecture For Real-Time Connected Components Labeling", Proc. SPIE 1004, Automated Inspection and High-Speed Vision Architectures II, (21 March 1989); https://doi.org/10.1117/12.948999

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