2D fuzzy spatial relations and their applications to DICOM medical images

Marko Jocic, D. Obradovic, Z. Konjovic, E. Pap
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引用次数: 5

Abstract

In this paper we propose a model of fuzzy spatial relations, which can be used to describe imprecise spatial data on 2D images. This model defines relations very similar to those existing in natural language and reasoning, like “on the left side of the image”, “in the center of the image”, “right/left of”, “above/below of”, “(very) close to”, “(very) far from”, “at distance of”, etc. Composition operators and, or, not and subtract are defined in order to combine these basic fuzzy spatial relations into more complex ones. In addition, formula for calculating membership value of imprecise region to fuzzy spatial relation is defined. Proposed model is verified through the example of practical application on DICOM medical images.
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二维模糊空间关系及其在DICOM医学图像中的应用
本文提出了一种模糊空间关系模型,该模型可用于描述二维图像上的不精确空间数据。该模型定义的关系与自然语言和推理中存在的关系非常相似,如“在图像的左侧”、“在图像的中心”、“在图像的右侧/左侧”、“在图像的上方/下方”、“(非常)接近”、“(非常)远离”、“在……的距离”等。为了将这些基本的模糊空间关系组合成更复杂的空间关系,定义了复合运算符and、or、not和subtract。此外,还定义了不精确区域对模糊空间关系隶属度的计算公式。通过DICOM医学图像的实际应用实例验证了该模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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