Image Processing · Digital lecture note
Lecture 9 – Hough transform and connected components
Görüntü İşleme – Hough dönüşümü ve bağlı bileşenler
- Course
- Image Processing (ELM463)
- Semester
- Semester 7 · Fall 2024–25
- Format
- PDF · 10 pages · 0.3 MB · handwriting-style LaTeX
- Language
- Turkish
- Original note
- Ders9.pdf
Open the PDF (0.3 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):
- Hough Transform
- Örnek
- Connected Component
- Recursive Connected Component labeling
Text of the note
Show as plain text (Turkish; formulas and drawings are not included)
Input : binary image (0,1) [edge map]
y_i=a x_i+b b 0 olursa y merkezden geçer
doğru a 'yı bildiğinde aynı b 'de yoğunlaşma olacak
2 tane line var
eğimi 3 yaparsak 3'ün üstü line olur
peki hangi sıklıkla
a lineer olsa da ona göre açı lineer değil
ve θ aşağıdaki gibi
Recursive Connected Component labeling
while end of image is reached
do\ continue to scan image until
an unlabeled ``1'' pixel is reached.
if (not end of image)\
assign a new label to the pixel
recursively assign same label to