The paper presents an highly selective algorithm for detecting extended and almost rectilinear shapes in digital images, in presence of structured and unstructured noise; it exploits the Gradient-based Hough Transform, followed by a special purpose correlation process in the parameter space. The paper discusses the algorithm and its application in a quality inspection task for detecting fabrication defects in mechanical pieces.
A highly selective HT based algorithm for detecting extended, almost rectilinear shapes / Cucchiara, R.; Filicori, F.. - 970:(1995), pp. 692-698. (Intervento presentato al convegno 6th International Conference on Computer Analysis of Images and Patterns, CAIP 1995 tenutosi a cze nel 1995) [10.1007/3-540-60268-2_366].
A highly selective HT based algorithm for detecting extended, almost rectilinear shapes
Cucchiara R.;
1995
Abstract
The paper presents an highly selective algorithm for detecting extended and almost rectilinear shapes in digital images, in presence of structured and unstructured noise; it exploits the Gradient-based Hough Transform, followed by a special purpose correlation process in the parameter space. The paper discusses the algorithm and its application in a quality inspection task for detecting fabrication defects in mechanical pieces.
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