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Edge detection and curve enhancement using the facet model and parametrized relaxation labelling

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3 Author(s)
Matalas, I. ; Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci. Technol. & Med., London, UK ; Benjamin, R. ; Kitney, R.

We present a method for detecting and labeling the edge structures in digital grey-scale images in two distinct stages: 1) a variant of the cubic facet model detects location, orientation and curvature of the putative edge points; and 2) a relaxation labeling network reinforces meaningful edge structures and suppresses noisy edges. Each node label of this network is a 3D vector parametrizing the orientation and curvature of the corresponding edge point. A hysteresis step in the relaxation process maximizes connected contours. For certain images, prefiltering by adaptive smoothing improves robustness against noise and spatial blurring

Published in:

Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on  (Volume:1 )

Date of Conference:

9-13 Oct 1994