Autosophy image compression and vision for aerospace sensing

Klaus E. Holtz

doi:10.1117/12.138287

16 September 1992 Autosophy image compression and vision for aerospace sensing

Klaus E. Holtz

Proceedings Volume 1700, Automatic Object Recognition II; (1992) https://doi.org/10.1117/12.138287
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

Autosophy is an emerging science dealing with self-assembling structures, such as crystals or living trees. It provides a new mathematical theory of 'learning', a new post Shannon 'Information Theory' and algorithms for growing self-assembling 'Information Networks' in a memory. Autosophy methods can extract the 'True Information' from images, resulting in orders of magnitude 'lossless' images compression for transmitting aerospace sensor data and for storing these images in data bases. Robot vision is simplified by the peculiar Omni Dimensional storage method in which each image pattern or fragment is stored only once. Autosophy methods may succeed, where conventional image processing has failed, in providing electronic vision comparable to our own.

Citation Download Citation

Klaus E. Holtz "Autosophy image compression and vision for aerospace sensing", Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); https://doi.org/10.1117/12.138287

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