Fast adaptive algorithms for low-level scene analysis: applications of polar exponential grid (PEG) representation to high-speed, scale-and-rotation invariant target segmentation
Conference
·
· Proc. SPIE Int. Soc. Opt. Eng.; (United States)
OSTI ID:5070657
Presents results of experimental studies in image understanding. Two experiments are discussed, one on image correlation and another on target boundary estimation. The experiments are demonstrative of polar exponential grid (peg) representation, an approach to sensory data coding which the authors believe will facilitate problems in 3-d machine perception. The discussion of the image correlation experiment is largely an exposition of the peg-representation concept and approaches to its computer implementation. A robust stochastic, parallel computation segmentation algorithm, the peg parallel hierarchical ripple filter (peg-phrf), is presented. 18 references.
- Research Organization:
- Brown Univ., Providence, RI
- OSTI ID:
- 5070657
- Journal Information:
- Proc. SPIE Int. Soc. Opt. Eng.; (United States), Vol. 281; Conference: Techniques and Applications of Image Understanding, Washington, DC, USA, 21 Apr 1981
- Country of Publication:
- United States
- Language:
- English
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