Abstract

This paper presents the implementation of the Python programming language and the Open CV library in medical image processing. Medical images play an important role in identifying diseases and detecting whether organs are functioning properly. Image processing related to medical images is an active research field where various techniques are used to facilitate diagnosis and various image processing techniques can be used. In this study, image processing was performed including image preprocessing, histogram equalization, smoothening, erosion, and dilation. The use of python was chosen because this programming language is open source with a lot of available resources. The open CV library is also available free of charge and provides tons of image processing functions. The software can also be installed in a small Raspberry Pi computer and low electrical power usage making it very suitable as an efficient resource of the medical image processing system.

Details

Title
Medical image processing using python and open cv
Author
Widodo, C E 1 ; Adi, K 1 ; Gernowo, R 1 

 Department of Physics, Faculty of Science and Mathematics Diponegoro University, Semarang Indonesia 
Publication year
2020
Publication date
Apr 2020
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2557250989
Copyright
© 2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.