boratanrikulu / image_processing

Keeps all lesson materials tidy and up to date. The repo includes my all notes, homeworks and lab codes.

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Image Processing

This course is given by Meriç Çetin at Pamukkale University.
Last update: March 18, 2020

The purpose of this repo is to keep all lesson materials tidy and up to date.
The repo includes my all notes, homeworks and lab codes.

All presentations are published on EDS.

Feel free to send PR to improve this repo.
If you need to contact me: boratanrikulu.dev/contact.

Content

Week Subject (notes) Presentation LAB Homeworks
1 Image processing basics. Slide
2 Basic concepts. Slide Obtaining artificial image from natural image.
3 RGB and pixels. Slide 1
Slide 2
Reducing pixels.
and
Converting 8-bit grayscale image to X-bit grayscale images.
and
Stretching contrast.
4 Image improvements.
-
improvements made by changing the contrast and dynamic range.
Slide Lab Regional histogram balancing.
5 Image improvements.
-
filtering / filtering processes.
(filtering in the space region.)
Slide Lab Low-pass filter.
6 Image improvements.
-
filtering / filtering processes.
(median filter, sharpening filters.)
Slide Lab Median filter.

About

Keeps all lesson materials tidy and up to date. The repo includes my all notes, homeworks and lab codes.

License:MIT License


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Language:MATLAB 100.0%