基于Python的医学图像增强算法设计

Hui Zhou, Shuai Wu
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引用次数: 1

摘要

医学诊断的准确性取决于图像识别的准确性,因此对医学图像预处理的细节要求更为严格,特别是包含大量信息的图像边缘需要增强。因此,本文选择结合空间域的各种增强方法,将python软件应用于医学图像增强。实验结果表明,该算法不仅有效地保留了医学图像中的纹理和细节,而且增强了医学图像的轮廓和边缘,使肉眼无法观察到的一些细节得以呈现。同时,python的使用使整个算法更加实现。快速,更有利于医务人员观察医学影像的焦点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of medical image enhancement algorithm based on Python
The accuracy of medical diagnosis depends on the accuracy of image recognition, so the details of the preprocessing of medical images are more stringent, especially the edges of images that contain a lot of information need to be enhanced. Therefore, this article chooses to combine various enhancement methods in the spatial domain and apply python software to medical image enhancement. The experimental results show that the algorithm not only effectively retains the texture and details in the medical image, but also enhances the contour and edge of the medical image, so that some details that cannot be observed by the naked eye appear. At the same time, the use of python makes the whole algorithm more realized. Fast and more conducive to medical staff to observe the focus of the medical image.
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