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A new method for image segmentation based on fuzzy knowledge

机译:基于模糊知识的图像分割新方法

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摘要

Within this work a method for knowledge based fuzzy image segmentation is introduced. The basic idea comes from the field of automated medical MRI segmentation where the well-known standard methods have proven insufficient to solve the task. Therefore, a method especially for the problems concerning vagueness in medical imaging has been developed. Beside the improved segmentation procedures, the development has a general impact on the conventional model of image analysis.
机译:在这项工作中,介绍了一种基于知识的模糊图像分割方法。基本思想来自自动医学MRI分割领域,在该领域中,众所周知的标准方法已被证明不足以解决任务。因此,已经开发出一种特别用于解决与医学成像中的模糊性有关的问题的方法。除了改进的分割程序,该开发对常规的图像分析模型也产生了总体影响。

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