Rotation invariant bipolar filter design for object classification

Tracy D. Hudson, Deanna K. McMillen, Amy S. Kransteuber, Shizhuo Yin, Mingzhe Lu, F. T.S. Yu

    Research output: Contribution to journalConference article

    Abstract

    A novel training technique for synthesizing a 3D rotation invariant bipolar filter has previously been presented (OSA Annual Meeting, October 1994). An extension of this idea is now presented. Previously, a training process using a simulated annealing algorithm for the filter was designed to yield optical correlations that were Gaussian-shaped for the preferred target and a null response for non-targeted objects. However, it is proposed that one may effectively choose other shapes for the output correlation by altering the computed filter response of the simulated annealing algorithm. A selection of basic geometric shapes may be chosen to correspond to particular classes of objects. As an illustrative example, the filter may be designed to yield a rectangular-shaped correlation in the output plane if the input object is a tank while yielding a triangular-shaped correlation for a truck input. These shaped correlations in the output plane of the optical processor may be more easily distinguished from each other and from spurious background noise through simple morphological processing of the output plane. Computer simulations of the correlation results of these filters will be presented. The design of a photorefractive-based optical correlator that implements bipolar composite filters will also be discussed.

    Original languageEnglish (US)
    Pages (from-to)274-284
    Number of pages11
    JournalProceedings of SPIE - The International Society for Optical Engineering
    Volume2529
    DOIs
    StatePublished - Aug 18 1995
    EventPhotorefractive Fiber and Crystal Devices: Materials, Optical Properties, and Applications 1995 - San Diego, United States
    Duration: Jul 9 1995Jul 14 1995

      Fingerprint

    All Science Journal Classification (ASJC) codes

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

    Cite this