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Proceedings Paper

Autosophy image compression and vision for aerospace sensing
Author(s): Klaus E. Holtz
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Paper 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.

Paper Details

Date Published: 16 September 1992
PDF: 14 pages
Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); doi: 10.1117/12.138287
Show Author Affiliations
Klaus E. Holtz, Omni Dimensional Networks (United States)


Published in SPIE Proceedings Vol. 1700:
Automatic Object Recognition II
Firooz A. Sadjadi, Editor(s)

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