Abstract
A capsular introduction is provided to the theoretical framework and experimental applications of the Polar Exponential Grid (PEG) transformation, in the context of image analysis. The PEG transformation is an isomorphic representation of the image intensity array that simplifies, and potentially offers new insights about, a variety of tasks in computational vision. The PEG transform representation is described and its functional precursors in optical computing and image processing are briefly surveyed. An example is then given of PEG-based image analysis for rotation-and-scale variant template matching and the PEG transform is presented as a motif for a class of problems in stochastic estimation of object boundaries.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1144-1148 |
| Number of pages | 5 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 3 |
| State | Published - 1981 |
| Event | Unknown conference - Atlanta, Ga Duration: Mar 30 1981 → Apr 1 1981 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering