Medical image processing using python and open cv. (April 2020)
- Record Type:
- Journal Article
- Title:
- Medical image processing using python and open cv. (April 2020)
- Main Title:
- Medical image processing using python and open cv
- Authors:
- Widodo, C E
Adi, K
Gernowo, R - Abstract:
- 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.
- Is Part Of:
- Journal of physics. Volume 1524(2020)
- Journal:
- Journal of physics
- Issue:
- Volume 1524(2020)
- Issue Display:
- Volume 1524, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 1524
- Issue:
- 1
- Issue Sort Value:
- 2020-1524-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1524/1/012003 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25499.xml