OIL MCUT - Digital Image Processing
This pages in contain teaching material that use in the classroom for teaching Digital image processing. please contack us if you have question or problem from this course.
Setting Environment
Follow this Guideline to Setting Environment.
Teaching Material
The teaching material comes from Sandipan Dey's book titled Hands-on Image Processing with Python
Chapter 1: Getting started with Image Processing
Chapter 2: Sampling & Fourier Transform
Chapter 3: Convolution and Frequency domain Filtering
Chapter 4: Image Enhancement
Chapter 5: Image Enhancements using Derivatives
Chapter 6: Mophological Image Processing
Chapter 7: Extracting Image Features and Descriptors
Chapter 8: Image Segmentation
Chapter 9: Classical Machine Learning Methods in Image Processing
Chapter 10: Deep Learning Models in Image Processing
Chapter 11: Deep Learning - Object Detection, Segmentation, Transfer Learning and Neural Style Transfer
Chapter 12: Some Additional Problems in Image Processing
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Assigment
Assigment 1: Read paper