Scale-Space Image Analysis Based on Hermite Polynomials Theory.
Shérif Makram-EbeidBenoit MoryPublished in: Scale-Space (2003)
Keyphrases
- scale space
- image analysis
- multiscale
- gaussian derivatives
- scale spaces
- feature detection
- gaussian scale space
- scale selection
- multiple scales
- critical points
- gaussian kernel
- image structure
- image features
- methods in computer vision
- scale invariant
- diffusion equation
- planar curves
- scale parameter
- scale space analysis
- linear scale space theory
- edge detector
- deep structure
- multiscale representation
- vector valued
- automatic scale selection
- image processing
- pattern recognition
- remote sensing
- keypoints
- primal sketch
- singular points
- rotationally invariant
- multiresolution
- morphological scale space
- image segmentation
- multiscale segmentation
- saddle points
- object recognition
- denoising
- linear scale space
- zero crossing
- neural network
- general theory