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 enhanceme...

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Bibliographic Details
Published in2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) pp. 482 - 485
Main Authors Zhou, Hui, Wu, Shuai
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.01.2021
Subjects
Canny operator
Image edge detection
Image enhancement
Medical diagnostic imaging
medical image
Power electronics
Python
Roberts operator
Software
Software algorithms
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DOI10.1109/ICPECA51329.2021.9362581

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Summary: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.
DOI:10.1109/ICPECA51329.2021.9362581