Category:Feature detection (computer vision)

E

• Edge detection (9 P)

• Feature (computer vision)

A

• Affine shape adaptation

B

• Blob detection

C

• Census transform
• Chessboard detection
• Circle Hough Transform
• Co-occurrence matrix
• Convolution
• Corner detection
• COSFIRE

D

• Difference of Gaussians

F

• Features from accelerated segment test

G

• Generalized structure tensor
• Geometric feature learning
• GLOH

H

• Haar-like feature
• Harris affine region detector
• Hessian affine region detector
• Histogram of oriented gradients
• Hough transform

I

• Image histogram
• Integral channel feature
• Irissometry

K

• Kadir–Brady saliency detector
• Kernel (image processing)

L

• Laplace filter
• Local binary patterns
• Local energy-based shape histogram

M

• Marr–Hildreth algorithm
• Maximally stable extremal regions

O

• Oriented FAST and rotated BRIEF

P

• Principal curvature-based region detector

R

• Ridge detection
• Robinson compass mask

S

• Scale co-occurrence matrix
• Scale-invariant feature transform
• Sobel operator
• Speeded up robust features
• Steerable filter
• Step detection
• Structure tensor