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Global feature extraction operations for near-sensor image processing.

A Astrom1, R Forchheimer, J E Eklund

  • 1Image Process. Lab., Linkoping Univ.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1996
PubMed
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Near-sensor image processing (NSIP) enables crucial global operations for efficient image analysis. A novel 2-D global logic unit (GLU) facilitates powerful segmentation and feature extraction, implementable with current VLSI technology.

Area of Science:

  • Computer Vision
  • VLSI Design
  • Image Processing

Background:

  • Near-sensor image processing (NSIP) requires efficient global operations.
  • Traditional methods often lack the necessary computational power for real-time, on-chip processing.

Purpose of the Study:

  • To introduce a novel 2-D global logic unit (GLU) for NSIP.
  • To demonstrate the GLU's capability for advanced image segmentation and feature extraction.
  • To confirm the feasibility of implementing NSIP with global functions on a single chip.

Main Methods:

  • Definition of a 2-D global logic unit (GLU) using interconnected logical circuits.
  • Implementation of segmentation operations: hole filling, smallest circumscribing rectangle, hysteresis thresholding, and arbitrary propagation.

Related Experiment Videos

  • Development of methods for extracting object features, such as position.

    • Main Results:

    • The GLU effectively performs complex segmentation tasks.
    • Feature extraction, including object localization, is demonstrated.
    • The NSIP concept with global functions is shown to be implementable using current VLSI technology.

    Conclusions:

    • The proposed 2-D GLU is a powerful tool for NSIP.
    • This approach enables efficient on-chip image processing with global capabilities.
    • VLSI technology supports the practical implementation of advanced NSIP systems.