BIOcorelabSem 3
DIGITAL IMAGE PROCESSING LAB
BME 3242
Syllabus
- 01Image Processing in Python
- 02Introduction
- 03Image processing - Display and Simple Manipulations
- 04Contrast Enhancement and Discrete Fourier Transform of an Image
- 05Image filtering - Spatial and Frequency domain filtering
- 06Discrete Cosine Transform of an Image - examples and exercises with CT/MRI data
- 07Geometrical Transformation of an Image - Applications
- 08Radon Transform
References
- Hans-Petter Halvorsen. Python for science and engineering. Hans-Petter Halvorsen – a Blog about Technology, 2019, https://www.halvorsen.blog/
- Sinan Kalkan, Onur Tolga Sehitoglu, and Gokturk Ucoluk. Programming with Python for Engineers. 2021, https://ceng240.github.io/
- Jan Erik Solem. Programming Computer Vision with Python: Tools and algorithms for analyzing images. O'Reilly Media, Inc., 2012.
Credits Structure
0Lecture
0Tutorial
3Practical
1Total