Image Processing · Digital lecture note
Lecture 7 – Examples and image segmentation (edges, gradient, thresholding)
Görüntü İşleme – Örnekler ve Image Segmentation (kenar, gradyan, eşikleme)
- Course
- Image Processing (ELM463)
- Semester
- Semester 7 · Fall 2024–25
- Format
- PDF · 6 pages · 0.2 MB · handwriting-style LaTeX
- Language
- Turkish
- Original note
- Ders7.pdf
Open the PDF (0.2 MB)LaTeX source (.tex)Original handwritten note
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.
What is in this note?
Section headings of the note (in Turkish):
- Image Segmentation
- Basic Intensity Tresholding
Text of the note
Show as plain text (Turkish; formulas and drawings are not included)
(a) → Tüm bölgelerin toplamı image'ı oluşturmalı
(c) → Her bölgenin kendi pikselleri var
(f) varyanstan bulunabilir 3×3 pencereyle
double edge sonuç var
Sınırları belirlemek, bölgeyi bulmak için edge detection
(b) Merkezi bulabiliyor olman lazım
Zero crossing → pozitiften negatife geçişin olduğu yer
birinci dereceden türevinin mutlağı 1'den büyük olmalı
direction of gradient vector
iki ayrı görüntü var
Basic Intensity Tresholding
Global tek eşik