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Segmentation approach by learning: different image applications

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2 Author(s)
Legal-Ayala, H.A. ; PUC-PR, Pontificia Univ. Catolica do Parana, Curitiba, Brazil ; Facon, J.

We present a new segmentation approach by thresholding based on learning strategy. This strategy is based only on one image and its ideal thresholded version. A decision matrix is generated from each pixel and each gray level. At the moment of new image segmentation, the best solution for each pixel is evaluated by means of K nearest neighbors in the decision matrix. Comparative tests were performed on signature, fingerprint and magnetic resonance images.

Published in:

Image Analysis and Processing, 2003.Proceedings. 12th International Conference on

Date of Conference:

17-19 Sept. 2003