Noise-robust edge detector combining isotropic and anisotropic Gaussian kernels
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Publication:645906
DOI10.1016/j.patcog.2011.07.020zbMath1225.68235OpenAlexW1990773344MaRDI QIDQ645906
Wei-Chuan Zhang, Shui, Penglang
Publication date: 10 November 2011
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2011.07.020
edge detectionanisotropic directional derivativesanisotropic Gaussian kernels (ANGKs)edge resolutionedge stretch effect
Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)
Related Items (9)
Efficient Analysis and Detection of Edges Through Directional Multiscale Representations ⋮ Hardy variation framework for restoration of weather degraded images ⋮ Corner detection using multi-directional structure tensor with multiple scales ⋮ Neuro-inspired edge feature fusion using Choquet integrals ⋮ Characterization of complex image spatial structures based on symmetrical Weibull distribution model for texture pattern classification ⋮ Optimal learning with anisotropic Gaussian SVMs ⋮ Hyperspectral imaging using notions from type-2 fuzzy sets ⋮ Joint contours, corner and T-junction detection: an approach inspired by the mammal visual system ⋮ Multiscale edge detection using first-order derivative of anisotropic Gaussian kernels
Cites Work
- Continuous curvelet transform. I: Resolution of the wavefront set
- Continuous curvelet transform. II: Discretization and frames
- Fast anisotropic gauss filtering
- Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
- Singularity detection and processing with wavelets
- Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II
- Edge Detector Evaluation Using Empirical ROC Curves
- Comparison of Edge Detector Performance through Use in an Object Recognition Task
- Active contours without edges
- A Shearlet Approach to Edge Analysis and Detection
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