Discrete derivative approximations with scale-space properties: A basis for low-level feature extraction.
Tony LindebergPublished in: J. Math. Imaging Vis. (1993)
Keyphrases
- scale space
- linear scale space theory
- multiscale
- low level feature extraction
- zero crossing
- scale spaces
- vector valued
- gaussian scale space
- multiple scales
- feature detection
- gaussian kernel
- edge detector
- scale invariant
- scale selection
- image structure
- deep structure
- diffusion equation
- linear scale space
- image analysis
- partial derivatives
- scale space analysis
- multiscale representation
- scale space theory
- image features
- critical points
- keypoints
- scale parameter
- gaussian derivatives
- methods in computer vision
- automatic scale selection
- laplacian operator
- geodesic metric
- gaussian filter
- planar curves
- singular points
- computer vision
- edge detection
- image segmentation