Lecture 1 – Introduction, image representation and the PGM format
Connectivity (bağlılık)
Image Processing ELM463 Lecture Notes
Görüntü İşleme — ders notları, ödevler, lab, projeler · Gebze Teknik Üniversitesi (GTÜ) Elektronik Mühendisliği
Digital image fundamentals, point operations and histograms, spatial filtering, morphological operations and segmentation; Python labs and a traffic-sign detection project.
Sayısal görüntü temelleri, nokta işlemleri ve histogram, uzamsal filtreleme, morfolojik işlemler ve bölütleme; Python laboratuvarları ve trafik işareti tespiti projesi.
- Semester 7 · Fall 2024–25
- 11 lecture notes
- 11 digital notes
- 2 assignments
- 6 labs
- 1 project
On this page: Lecture notes Digital notes (LaTeX) Homework Laboratory Projects GitHub repositories Textbooks
Most files are in Turkish; file and folder names are shown as they appear in the repository.
Lecture notes
Digital notes (LaTeX)
Searchable digital versions of the handwritten notes, typeset in LaTeX (the notes are written in Turkish). Template and build: latex-sablon.
Notice: The digital notes were created from the handwritten notes with the help of Claude (Anthropic); they are meant as a supplementary resource and may contain errors. Always rely on the original notes and the official course materials.
Lecture 2 – Image enhancement: intensity transformations and spatial filters
Sharpening Spatial Filters
Lecture 3 – Unsharp masking, gradient, histogram processing
Unsharp masking · Gradient of f(x,y) · Histogram Processing · Histogram Equalization · Histogram Matching
Lecture 5 – Filtering in the Frequency Domain
Filtring in the frequency domain · Fourier serisi · Fourier dönüşümü
Lecture 6 – Filtering in the frequency domain (Gaussian, Laplacian, homomorphic)
ortala · Laplacian · Zero padding · Unsharp masking · Homomorphic Filtering
Lecture 7 – Examples and image segmentation (edges, gradient, thresholding)
Image Segmentation · Basic Intensity Tresholding
Lecture 8 – Image thresholding
Otomatik eşikleme · Global eşikleme · Basic Global Tresholding · Variable Tresholding based on local image processing · Otsu Tresholding · Normalized histogram p(i)
Lecture 9 – Hough transform and connected components
Hough Transform · Örnek · Connected Component · Recursive Connected Component labeling
Lecture 10 – Morphological Image Processing
Morphological Image Processing · Dilation operator · Erosion · Opening and Closing · Hole filling
Lecture 11 – Morphological Image Processing (continued)
Conditional dilation · Reflection of h
Lecture 12 – Granulometry, geometric transformation, feature extraction
Geometric Transformasyon · Geometric Transformation · Gray level interpolasyon · Örnek · Feature Extraction
Homework
Laboratory
Projects
Traffic-sign detection with image processing
GitHub repositories
Textbooks
Sources used in the course (the books themselves are not published because of copyright):
- R. C. Gonzalez, R. E. Woods — Digital Image Processing, 3rd ed.
Other courses this semester
RF System Design for Communications · Fundamentals of Machine Learning
Open the folder on GitHub← Semester 7
Course materials belong to their instructors and GTU and are shared for educational purposes only.