13 October 1994 Iterative refining algorithm for regularization
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Proceedings Volume 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision; (1994); doi: 10.1117/12.189100
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
The work here presented proposes an iterative refining algorithm to build a sequence of convex functionals based essentially on a weak thin-plate under tension model for smoothing. This algorithm is applied to structure estimation and edge detection problems. The sequence of functionals is obtained by modifying continuously and iteratively continuous non-binary line processes which control regularity of the surface. This is done by comparing the smoothed estimation with initial data (sparse or dense), that is evaluating signal-to-noise characteristics.
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Francesco P. Lovergine, Ettore Stella, Arcangelo Distante, "Iterative refining algorithm for regularization", Proc. SPIE 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision, (13 October 1994); doi: 10.1117/12.189100; https://doi.org/10.1117/12.189100
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KEYWORDS
Process control

Edge detection

Smoothing

Binary data

Data analysis

Data modeling

Detection and tracking algorithms

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