基于直觉模糊方法的脑磁共振成像形态学梯度

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-09 DOI:10.1109/AIC-MITCSA.2016.7759924

Mohammed Y. Kamil

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引用次数: 10

摘要

形态学操作常用图像梯度对医学图像中的灰度级图像进行处理。医学图像通常光照不足，一些边缘不能准确地看到。本文采用了基于Hamacher t-范数和t-保形的模糊数学形态学的形态梯度(侵蚀-膨胀计算)，并与经典形态梯度进行了比较。评价结果表明，与基于统计图像质量的经典形态学方法相比，模糊形态学方法在脑磁共振成像中的有效性。

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Morphological gradient in brain magnetic resonance imaging based on intuitionistic fuzzy approach

The morphological operations commonly used image gradient for gray level images in medical images. Medical images are usually poorly illuminated and several edges are not visible accurately. This paper have used the morphological gradient (erosion-dilation computation) of the fuzzy mathematical morphology based on Hamacher t-norm and t-conorm, and comparison with classical morphological gradient. The results of evaluation shown clearly of the effectiveness of the fuzzy morphological approach in brain magnetic resonance imaging compared to classical morphological based on statistical image quality.

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来源期刊

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)

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