Shift-Variant Image Processing For Scale-Invariant Recognition

Carlo Braccini; Giuseppe Gambardella; Aldo Grattarola

doi:10.1117/12.935318

26 October 1983 Shift-Variant Image Processing For Scale-Invariant Recognition

Carlo Braccini, Giuseppe Gambardella, Aldo Grattarola

Proceedings Volume 0397, Applications of Digital Image Processing V; (1983) https://doi.org/10.1117/12.935318
Event: 1983 International Technical Conference/Europe, 1983, Geneva, Switzerland

Abstract

The recognition of patterns independently from their size is a fundamental requirement in many applications, such as in computational or robotic vision. In particular the need of scale-invariant recognition exists when, according to a simplified experimental scheme, the patterns to be recognized are 2-D representations of objects whose distance from the acquisition system is unknown. Several scale-independent recognition systems have already been developed and presented in the literature: some of them are based on iconic, i.e. template matching, techniques, some on syntactic procedures. Quite often, however, the images to be recognized must first go through some kind of preprocessing, as for noise cleaning or edge reinforcement purposes. In such cases one has to operate so that the global processing is still scale-invariant. This requires that the preprocessing must be itself scale-invariant, in the sense that scale changes of the input image are simply translated into scale changes of the output, with no shape distortion taking place. This paper shows that no classical linear shift-invariant filter guarantees such a property and presents the most general class of linear scale-invariant filters. Several interesting subclasses of such (shift-variant) filters are discussed as well as the related implementation problems.

Citation Download Citation

Carlo Braccini, Giuseppe Gambardella, and Aldo Grattarola "Shift-Variant Image Processing For Scale-Invariant Recognition", Proc. SPIE 0397, Applications of Digital Image Processing V, (26 October 1983); https://doi.org/10.1117/12.935318

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