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Multiscale image segmentation by integrated edge and region detection.

M Tabb1, N Ahuja

  • 1Dept. of Electr. and Comput. Eng., Illinois Univ., Urbana, IL.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1997
PubMed
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This study introduces a novel algorithm for multiscale image segmentation, explicitly detecting image structures at various scales. It enables robust structure extraction without smoothing, even at coarser scales, for improved image analysis.

Area of Science:

  • Computer Vision
  • Image Processing
  • Pattern Recognition

Background:

  • Traditional multiscale image segmentation often uses scale-space representations where structure is implicit and smoothed.
  • Existing methods struggle with explicit structure extraction and integrating scale selection with detection.

Purpose of the Study:

  • To develop an algorithm for detecting low-level image structure at multiple scales.
  • To present a new concept of scale that explicitly represents image structures across scales.
  • To facilitate integrated detection of edges and regions without restrictive models.

Main Methods:

  • Introduced a new concept of scale representing image structures across scales.
  • Developed a nonlinear transform to make image structures explicit in the transformed domain.

Related Experiment Videos

  • Identified perceptually relevant structures as those stable to scale changes, performing Gestalt analysis.

    • Main Results:

    • The algorithm detects homogeneous regions surrounded by closed edge contours at multiple scales.
    • Structures are made explicit and stable structures are identified as perceptually relevant.
    • Automatic determination of all scale parameters allows identification of arbitrary geometries without smoothing.

    Conclusions:

    • The proposed method effectively addresses the limitations of scale-space approaches in structure extraction.
    • It enables integrated detection of edges and regions, facilitating Gestalt analysis.
    • The algorithm provides robust multiscale image segmentation and structure detection for complex geometries.