Extending the SKIPSM binary skeletonization implementation

Ahti A. Hujanen; Frederick M. Waltz

doi:10.1117/12.223968

3 October 1995 Extending the SKIPSM binary skeletonization implementation

Ahti A. Hujanen, Frederick M. Waltz

Proceedings Volume 2597, Machine Vision Applications, Architectures, and Systems Integration IV; (1995) https://doi.org/10.1117/12.223968
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

Skeletonization of binary images is an essential step in the inspection of many products, most notably printed circuit boards. It also is used in many other situations, an unusual example being the location of branching points on growing plants for purposes of cutting and vegetative propagation. Commercially available image processing boards typically cannot perform this operation, although they readily perform the easier task of repeated binary erosion. It has been shown that, in addition to hundreds of other image processing operations, the inexpensive standard SKIPSM (separated-kernel image processing using finite state machines) architecture can be used to implement binary skeletonization in one pipelined pass per stage of erosion. This paper considers the feasibility of extending the SKIPSM skeletonization implementation to obtain 'hairless' skeletons by using Jang and Chin's algorithm instead of Floeder's algorithm as used in the first implementation.

Citation Download Citation

Ahti A. Hujanen and Frederick M. Waltz "Extending the SKIPSM binary skeletonization implementation", Proc. SPIE 2597, Machine Vision Applications, Architectures, and Systems Integration IV, (3 October 1995); https://doi.org/10.1117/12.223968

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