Edge Detection Using Topological Gradients: A Scale-Space Approach.
Samuel AmstutzJérôme FehrenbachPublished in: J. Math. Imaging Vis. (2015)
Keyphrases
- scale space
- edge detection
- multiscale
- edge detector
- zero crossing
- scale spaces
- automatic scale selection
- gaussian scale space
- image structure
- critical points
- image processing
- multiple scales
- image enhancement
- noisy images
- scale space analysis
- scale selection
- reeb graph
- keypoints
- partial derivatives
- image features
- feature detection
- methods in computer vision
- edge localization
- gaussian derivatives
- primal sketch
- linear scale space
- multiscale representation
- gradient magnitude
- morse theory
- diffusion equation
- image segmentation
- vector valued
- noise reduction
- scale invariant
- anisotropic diffusion
- image analysis
- planar curves
- image gradient
- scale parameter
- signal to noise ratio
- gaussian filter
- noise removal
- scale space theory
- rotationally invariant
- gaussian kernel
- pattern recognition
- edge map
- saddle points
- multiscale segmentation
- wavelet transform