Segmentation approach by learning: different image applications
نویسندگان
چکیده
We present a new segmentation approach by thresholding based on learning strategy. This strategy is based only onto one image and its ideal thresholded version. A decision matrix is generated from each pixel and each gray level. At the moment of new images 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.
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