COSFIRE

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Feature detection
Edge detection
Canny Deriche Differential Sobel Prewitt Robinson Roberts cross
Corner detection
Harris operator Shi and Tomasi Level curve curvature Hessian feature strength measures SUSAN FAST
Blob detection
Laplacian of Gaussian (LoG) Difference of Gaussians (DoG) Determinant of Hessian (DoH) Maximally stable extremal regions PCBR
Ridge detection
Hough transform
Hough transform Generalized Hough transform
Structure tensor
Structure tensor Generalized structure tensor
Affine invariant feature detection
Affine shape adaptation Harris affine Hessian affine
Feature description
SIFT SURF GLOH HOG
Scale space
Scale-space axioms Implementation details Pyramids
v t e

COSFIRE stands for Combination Of Shifted FIlter REsponses.

COSFIRE is a trainable filter,^[1] which can be used for interest point (keypoint) detection and pattern recognition in the field of computer vision.

References

[edit]

↑ G. Azzopardi and N. Petkov, Trainable COSFIRE filters for keypoint detection and pattern recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, in print, 2012, DOI:10.1109/TPAMI.2012.106

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References