首页> 外文会议>Image Analysis for Multimedia Interactive Services (WIAMIS), 2007 Eighth International Workshop on; Santorini,Greece >Bayesian Region Growing and MRF-based Minimization for Texture and Colour Segmentation
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Bayesian Region Growing and MRF-based Minimization for Texture and Colour Segmentation

机译:贝叶斯区域增长和基于MRF的纹理和颜色分割最小化

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摘要

We propose a generic, unsupervised feature classification and image segmentation framework, where only the number of classes is assumed as known. Image segmentation is treated as an optimization problem. The framework involves block-based unsupervised clu
机译:我们提出了一个通用的,无监督的特征分类和图像分割框架,其中仅假设已知的类数。图像分割被视为优化问题。该框架涉及基于块的无监督clu

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