Image Edge Detection And Width Estimation With V2A Filters

Wim L.G. van Warmerdam; V.Ralph Algazi

doi:10.1117/12.942725

19 February 1988 Image Edge Detection And Width Estimation With Δ2G Filters

Wim L.G. van Warmerdam, V.Ralph Algazi

Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942725
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

Abstract

We present an algorithm that uses the zero-crossing information obtained from multiple resolution Laplacian of a 2-D Gaussian (VG) filtering to estimate the location, orientation, width (blur) and shape of the intensity changes in an image. Based on a ramp edge model of image edges, the algorithm uses the response zero-crossing slope to determine the width of a possible intensity change. It describes the intensity change in the region about the zero-crossing from the derivatives of the Gaussian smoothed image at the filter scale corresponding to the width.

Citation Download Citation

Wim L.G. van Warmerdam and V.Ralph Algazi "Image Edge Detection And Width Estimation With Δ2G Filters", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942725

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