16 September 1992 Autosophy image compression and vision for aerospace sensing
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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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Klaus E. Holtz, Klaus E. Holtz, "Autosophy image compression and vision for aerospace sensing", Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); doi: 10.1117/12.138287; https://doi.org/10.1117/12.138287
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