通过学习分割方法:不同图像的应用

12th International Conference on Image Analysis and Processing, 2003.Proceedings. Pub Date : 2003-09-17 DOI:10.1109/ICIAP.2003.1234116

H. Legal-Ayala, J. Facon

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引用次数: 0

摘要

提出了一种基于学习策略的阈值分割方法。此策略仅基于一个图像及其理想阈值版本。从每个像素和每个灰度级生成决策矩阵。在进行新的图像分割时，通过决策矩阵中的K个最近邻来评估每个像素的最佳解。对签名、指纹和磁共振图像进行对比测试。

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Segmentation approach by learning: different image applications

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.

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

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