Study Of A Class Of Invariant Recognition For Machine Vision

C. H. Chen; Rong-Hou Wu

doi:10.1117/12.937244

20 November 1986 Study Of A Class Of Invariant Recognition For Machine Vision

C. H. Chen, Rong-Hou Wu

Proceedings Volume 0707, Visual Communications and Image Processing; (1986) https://doi.org/10.1117/12.937244
Event: Cambridge Symposium-Fiber/LASE '86, 1986, Cambridge, MA, United States

Abstract

This paper is concerned with the use of circular harmonic expansion for rotation invariant recognition, Mellin transform for scale invariant recognition and the combination of circular harmonic expansion with Mellin transform for rotation & scale invariant recognition. Distance measures between the reference image, or vector reference, and the test image are defined for comparison with a threshold for object recognition. In addition to providing the desired mathematical properties, the class of invariant recognition algorithms examined successfully detected the objects (targets) under different rotations and scale changes.

Citation Download Citation

C. H. Chen and Rong-Hou Wu "Study Of A Class Of Invariant Recognition For Machine Vision", Proc. SPIE 0707, Visual Communications and Image Processing, (20 November 1986); https://doi.org/10.1117/12.937244

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