Novel approach for assessment of translation, rotation, and overall information content of patterns

Mohammad Farhang Daemi; R. L. Beurle; Mohammad K. Ibrahim

doi:10.1117/12.57053

1 February 1992 Novel approach for assessment of translation, rotation, and overall information content of patterns

Mohammad Farhang Daemi, R. L. Beurle, Mohammad K. Ibrahim

Proceedings Volume 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques; (1992) https://doi.org/10.1117/12.57053
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

A preliminary investigation confirmed the possibility of assessing the translation and rotation information content of simple binary images viewed at the output of a sensor array. In this paper, following a brief summary of the essence of the techniques used, we show how the translation and rotation component of the information are related to the overall information associated with a particular pattern. The overall information may be regarded as the information associated with a particular input pattern which may occupy any of the possible orientations and positions with equal probability. Simple rectangular patterns are used to illustrate the results, which are discussed in detail, but the technique is applicable to any shape.

Citation Download Citation

Mohammad Farhang Daemi, R. L. Beurle, and Mohammad K. Ibrahim "Novel approach for assessment of translation, rotation, and overall information content of patterns", Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); https://doi.org/10.1117/12.57053

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