NEW SENSOR GEOMETRIES FOR IMAGE PROCESSING: COMPUTER VISION IN THE POLAR EXPONENTIAL GRID.

P. S. Schenker, E. G. Cande, K. M. Wong, W. R. Patterson

    Research output: Contribution to journalConference articlepeer-review

    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 languageEnglish (US)
    Pages (from-to)1144-1148
    Number of pages5
    JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Volume3
    StatePublished - 1981
    EventUnknown conference - Atlanta, Ga
    Duration: Mar 30 1981Apr 1 1981

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

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