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Association of adaptative smoothing and Markovian models for detection of valley bottoms on strongly noisy images [nondestructive testing]

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3 Author(s)
Azencott, R. ; Univ. de Paris-Sud, Orsay, France ; Chalmond, B. ; Coldefy, F.

The paper is related to a nondestructive control industrial task: the detection of defects in γ radiographic images. The images are very noisy and have a strong luminosity gradient. The authors adopt a Bayes-Markov model in order to estimate the noise, the gradient and the defects. The proposed model is general and can be used in other situations for detecting valley bottoms in noisy images

Published in:

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992