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Proceedings Paper

Soft image processing
Author(s): Jean-Pierre Reveilles; J. Yeacoub
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Paper Abstract

Edges of general images are generally made of the noise (or singular) points of images. Some purely discrete and very simple algorithms, like Sobel one, are able to approximate these edges, but, unhappily, they lack accuracy. Using the restriction of gray level images to 3 X 3 masks interpreted as 3D digital surfaces, we give a new way of computing exactly the normal vector, or gradient, at regular points. We derive from this study a new discrete algorithm, based on Max Area Triangles contained in 3 X 3 masks, able to make a finer distinction between regular and singular point on any image and giving softer boundaries.

Paper Details

Date Published: 30 September 1996
PDF: 10 pages
Proc. SPIE 2826, Vision Geometry V, (30 September 1996); doi: 10.1117/12.251794
Show Author Affiliations
Jean-Pierre Reveilles, Univ. d'Auvergne (France)
J. Yeacoub, Univ. Louis Pasteur (France)

Published in SPIE Proceedings Vol. 2826:
Vision Geometry V
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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