19 February 1988 Image Edge Detection And Width Estimation With Δ2G Filters
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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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wim L.G. van Warmerdam, Wim L.G. van Warmerdam, V.Ralph Algazi, V.Ralph Algazi, "Image Edge Detection And Width Estimation With Δ2G Filters", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942725; https://doi.org/10.1117/12.942725
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