IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Precision in Noise-Free Digital Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Localization and Noise in Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Authenticating Edges Produced by Zero-Crossing Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge-Labeling Using Dictionary-Based Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coping with Discontinuities in Computer Vision: Their Detection, Classification, and Measurement
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Localization Performance Measure and Optimal Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Residual Analysis for Feature Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Edge Detectors for Ramp Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Smoothing: A General Tool for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Optimal Infinite Impulse Response Edge Detection Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Cost Minimization Approach to Edge Detection Using Simulated Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Achievable Accuracy in Edge Localization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Widths Yield Reliable Finite Differences (Computer Vision)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reasoning About Edges in Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving edge detection by an objective edge evaluation
SAC '92 Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's
Optimal Edge Detection using Expansion Matching and Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Transform for Multiscale Image Segmentation by Integrated Edge and Region Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Ramp Edge Detection Using Expansion Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Precision in Estimating the Location of Edges and Corners
Journal of Mathematical Imaging and Vision
Model-Based Detection and Localization of Circular Landmarksin Aerial Images
International Journal of Computer Vision
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Image Field Categorization and Edge/Corner Detection from Gradient Covariance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge, Junction, and Corner Detection Using Color Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection with Embedded Confidence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evolutionary Approaches to Figure-Ground Separation
Applied Intelligence
Subpixel Edge Location in Binary Images Using Dithering
IEEE Transactions on Pattern Analysis and Machine Intelligence
An algorithm for automatic detection of runways in aerial images
Machine Graphics & Vision International Journal
Representing Edge Models via Local Principal Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Model-Based Image Segmentation Using Local Self-Adapting Separation Criteria
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Optimal DSNR detector for ramp edges
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Estimating adaptive kernels from local image grey value changes
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
International Journal of Computer Vision
Computer Vision and Image Understanding
Detecting objects in images in real-time computer vision systems using structured geometric models
Programming and Computing Software
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
A new edge detector based on Fresnel diffraction
Pattern Recognition Letters
A novel approach for edge detection based on the theory of universal gravity
Pattern Recognition
A biologically motivated multiresolution approach to contour detection
EURASIP Journal on Applied Signal Processing
Unimodal thresholding for edge detection
Pattern Recognition
Expert Systems with Applications: An International Journal
International Journal of Remote Sensing
Computer Vision and Image Understanding
High-accuracy edge detection with Blurred Edge Model
Image and Vision Computing
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
Fast and accurate Gaussian derivatives based on B-splines
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Efficient combination of the fuzzy hough transform and the burns segment detector
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Sub-pixel edge detection based on an improved moment
Image and Vision Computing
ACM SIGGRAPH 2011 papers
Pattern Recognition Letters
Novel statistical approaches to the quantitative combination of multiple edge detectors
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Image bilevel thresholding based on stable transition region set
Digital Signal Processing
Accurate subpixel edge location based on partial area effect
Image and Vision Computing
Two-dimensional multi-pixel anisotropic Gaussian filter for edge-line segment (ELS) detection
Image and Vision Computing
| Hi-index | 0.15 |
An edge in an image corresponds to a discontinuity in the intensity surface of the underlying scene. It can be approximated by a piecewise straight curve composed of edgels, i.e., short, linear edgeelements, each characterized by a direction and a position. The approach to edgel-detection here, is to fit a series of one-dimensional surfaces to each window (kernel of the operator) and accept the surfacedescription which is adequate in the least squares sense and has the fewest parameters. (A one-dimensional surface is one which is constant along some direction.) The tanh is an adequate basis for the step-edge and its combinations are adequate for the roof-edge and the line-edge. The proposed method of step-edgel detection is robust with respect to noise; for (step-size/noise) 2.5, it has subpixel position localization (position