Image Processing · Digital lecture note
Lecture 12 – Granulometry, geometric transformation, feature extraction
Görüntü İşleme – Ders 12: Granulometry, geometrik dönüşüm, feature extraction
- Course
- Image Processing (ELM463)
- Semester
- Semester 7 · Fall 2024–25
- Format
- PDF · 8 pages · 0.2 MB · handwriting-style LaTeX
- Language
- Turkish
- Original note
- Ders-12.pdf
Open the PDF (0.2 MB)LaTeX source (.tex)Original handwritten note
What is in this note?
Section headings of the note (in Turkish):
- Geometric Transformasyon
- Geometric Transformation
- Gray level interpolasyon
- Örnek
- Feature Extraction
Text of the note
Show as plain text (Turkish; formulas and drawings are not included)
Parçacık sayma Granulometry
opening erosion, dialation
yapı elemanı her adımda büyütülür
Her pikselin değeri toplanır
ne büyüklükte objeler var
hepsini aynı boyutta görmez
for x=0 ; nrows in target
for y=0 ; ncols in target
compute x = inverse spatial transformation of x
y = inverse spatial Transformation y
f(x,y) = gray level interpolation of g(x,y)
scaling: x=xc y=yc c büyünce görüntü büyür
Gray level interpolasyon
level 0: nearest neighbour (NN)
level 1: bilinear interpolation (BI)
Moment hesabı yapabiliriz
Texture analizi Co-occurance Matrix