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Biomedical images enhancement based on the properties of morphological spectra

机译:基于形态光谱特性的生物医学图像增强

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摘要

The method enhancing distinctiveness of the micro-morphological structures, developed using the properties of morphological spectra of their monochromatic 2D images, is presented and its effects on the bone section image are statistically compared with enhancements by Sobel, Roberts and Laplace high-pass filters. Comparison of different filters based on statistical parameters of the classes of selected image details is presented. The preferable method for choosing filtering weight coefficients is described and illustrated by an example of processing an electron-microscope image of a biotechnological specimen. The applicability of this approach and possible development directions are discussed. (C) 2014 Nalecz Institute of Biocybemetics and Biomedical Engineering. Published by Elsevier Sp. z o.o. All rights reserved.
机译:提出了利用其单色2D图像的形态谱特性开发的增强微形态结构独特性的方法,并与Sobel,Roberts和Laplace高通滤波器的增强方法进行了统计比较,从而比较了其对骨切片图像的影响。提出了基于所选图像细节类别的统计参数对不同滤镜的比较。通过处理生物技术样本的电子显微镜图像的示例来描述和说明选择滤波权重系数的最佳方法。讨论了这种方法的适用性和可能的​​发展方向。 (C)2014 Nalecz生物仿制药和生物医学工程研究所。由Elsevier Sp。发行。动物园。版权所有。

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