A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge detection and motion detection
Image and Vision Computing
Image segmentation and uncertainty
Image segmentation and uncertainty
Finding Edges and Lines in Images
Finding Edges and Lines in Images
Optimal Edge Detection using Expansion Matching and Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge and Line Feature Extraction Based on Covariance Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Ramp Edge Detection Using Expansion Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Edge Detection Technique Using the Facet Model and Parameterized Relaxation Labeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Assessment Through Bootstrap
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Discrete Expression of Canny's Criteria for Step Edge Detector Performances Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Close-Form Solution and Parameter Selection for Convex Minimization-Based Edge-Preserving Smoothing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Uncertainty Propagation and the Matching of Junctions as Feature Groupings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge detection by scale multiplication in wavelet domain
Pattern Recognition Letters
Representing Edge Models via Local Principal Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Optimal DSNR detector for ramp edges
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Gradient detection in discrete log-polar images
Pattern Recognition Letters
Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gradient histogram: Thresholding in a region of interest for edge detection
Image and Vision Computing
Multi-edge detection by isotropical 2-D ISEF cascade
Pattern Recognition
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
Robust correspondenceless 3-d iris location for immersive environments
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Edge Detection Filter based on Mumford-Shah Green Function
SIAM Journal on Imaging Sciences
Efficient closed-form solution to generalized boundary detection
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Two-dimensional multi-pixel anisotropic Gaussian filter for edge-line segment (ELS) detection
Image and Vision Computing
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It is argued that the best way to model an edge is by assuming all ideal mathematical function passed through a low-pass filter and and immersed in noise. Using techniques similar to those developed by J. Canny (1983, 1986) and L.A. Spacek (1986), optimal filters are derived for ramp edges of various slopes. The optimal nonrecursive filter for ideal step edges is then derived as a limiting case of the filters for ramp edges. Because there are no step edges in images, edge detection is improved when the ramp filter is used instead of the filters developed for step edges. For practical purposes, some convolution masks are given which can be used directly for edge detection without the need to go into the details of the subject.