Meaningful Scales Detection: an Unsupervised Noise Detection Algorithm for Digital Contours
This work presents an algorithm which permits to detect locally on digital contour what is the amount of noise estimated from a given maximal scale. The method is based on the asymptotic properties of the length of the maximal segment primitive.
Main Authors: | Bertrand Kerautret, Jacques-Olivier Lachaud |
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Format: | Article |
Language: | English |
Published: |
Image Processing On Line
2014-05-01
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Series: | Image Processing On Line |
Online Access: | http://www.ipol.im/pub/art/2014/75/ |
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