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

机译:基于直觉模糊方法的脑磁共振成像中的形态梯度

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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.
机译:形态学操作通常将图像梯度用于医学图像中的灰度图像。医学图像通常照明不佳,并且无法准确看到多个边缘。本文采用了基于Hamacher t-范数和t-conorm的模糊数学形态学的形态学梯度(侵蚀膨胀计算),并与经典形态学梯度进行了比较。评价结果清楚地表明,与基于统计图像质量的经典形态学相比,模糊形态学方法在脑磁共振成像中的有效性。

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