The Computation of Visible-Surface Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward a Symbolic Representation of Intensity Changes in Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Singularity Theory and Phantom Edges in Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Three-Module Strategy for Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
High precision electron beam positioning using computer image analysis for electron beam testing
Microelectronic Engineering
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 Detection and Linear Feature Extraction Using a 2-D Random Field Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Geometry of Differential Operators with Application to Image Processing
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
Partial Shape Recognition: A Landmark-Based Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Algorithms for Low-Level Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extensions of Scale-Space Filtering to Machine-Sensing Systems
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
Recursive Regularization Filters: Design, Properties, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Contour Decomposition Using a Constant Curvature Criterion
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
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
Adaptive Determination of Filter Scales for Edge Detection
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
On the Edge Location Error for Local Maximum and Zero-Crossing Edge Detectors
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
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Scaling Theorems for Zero Crossings of Bandlimited Signals
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Constraints to Compute Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topographical Properties of Generic Images
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Differentiation-Based Edge DetectionUsing the Logarithmic Image Processing Model
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Game-Theoretic Integration for Image Segmentation
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Generalization to Novel Views: Universal, Class-based, andModel-based Processing
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Relations Between Regularization and Diffusion Filtering
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Edge Detection with Embedded Confidence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Converting Discrete Images to Partitioning Trees
IEEE Transactions on Visualization and Computer Graphics
A Fast Gibbs Sampler for Synthesizing Constrained Fractals
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Detection, Localization, and Estimation of Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Accuracy of the Computation of Optical Flow and of the Recovery of Motion Parameters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Early Jump-Out Corner Detectors
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bar Code Waveform Recognition Using Peak Locations
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Location Error of Curved Edges in Low-Pass Filtered 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelet Transform for Analyzing Fog Visibility
IEEE Intelligent Systems
Representing Edge Models via Local Principal Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Scale-Space Properties of Regularization Methods
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
How the Spatial Filters of Area V1 Can Be Used for a Nearly Ideal Edge Detection
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
A Cooperating Strategy for Objects Recognition
Shape, Contour and Grouping in Computer Vision
Thin nets and crest lines: application to satellite data and medical images
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Representing medical images with partitioning trees
VIS '92 Proceedings of the 3rd conference on Visualization '92
Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real time contour tracking with a new edge detector
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Lung detection in CT images by using improved active control model
BioMed'06 Proceedings of the 24th IASTED international conference on Biomedical engineering
Extracting image orientation feature by using integration operator
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A novel approach for edge detection based on the theory of universal gravity
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Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computers and Electrical Engineering
Edge detection by wavelet scale correlation
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
A Mathematical Operator for Automatic and Real Time Analysis of Sequences of Vascular Images
MDA '08 Proceedings of the 3rd international conference on Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry
An edge detection approach based on directional wavelet transform
Computers & Mathematics with Applications
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
A novel iris segmentation using radial-suppression edge detection
Signal Processing
Computer Vision and Image Understanding
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On the accuracy of image normalization by Zernike moments
Image and Vision Computing
Gradient histogram: Thresholding in a region of interest for edge detection
Image and Vision Computing
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
Ranking corner points by the angular difference between dominant edges
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
Edge structure preserving image denoising
Signal Processing
A gravitational approach to edge detection based on triangular norms
Pattern Recognition
Augmented reality for art, design and cultural heritage: system design and evaluation
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FABC: retinal vessel segmentation using adaboost
IEEE Transactions on Information Technology in Biomedicine
Low-complexity one-dimensional edge detection in wireless sensor networks
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Wavelet based boundary detection
ICOSSE'06 Proceedings of the 5th WSEAS international conference on System science and simulation in engineering
Reducing aliasing in images: a PDE-based diffusion revisited
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Multiscale extension of the gravitational approach to edge detection
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
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Generating fuzzy edge images from gradient magnitudes
Computer Vision and Image Understanding
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
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ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Multiscale edge detection based on Gaussian smoothing and edge tracking
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IEEE Transactions on Very Large Scale Integration (VLSI) Systems
On the impact of anisotropic diffusion on edge detection
Pattern Recognition
Two-dimensional multi-pixel anisotropic Gaussian filter for edge-line segment (ELS) detection
Image and Vision Computing
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Edge detection is the process that attempts to characterize the intensity changes in the image in terms of the physical processes that have originated them. A critical, intermediate goal of edge detection is the detection and characterization of significant intensity changes. This paper discusses this part of the edge detection problem. To characterize the types of intensity changes derivatives of different types, and possibly different scales, are needed. Thus, we consider this part of edge detection as a problem in numerical differentiation. We show that numerical differentiation of images is an ill-posed problem in the sense of Hadamard. Differentiation needs to be regularized by a regularizing filtering operation before differentiation. This shows that this part of edge detection consists of two steps, a filtering step and a differentiation step. Following this perspective, the paper discusses in detail the following theoretical aspects of edge detection. 1) The properties of different types of filters-with minimal uncertainty, with a bandpass spectrum, and with limited support-are derived. Minimal uncertainty filters optimize a tradeoff between computational efficiency and regularizing properties. 2) Relationships among several 2-D differential operators are established. In particular, we characterize the relation between the Laplacian and the second directional derivative along the gradient. Zero crossings of the Laplacian are not the only features computed in early vision. 3) Geometrical and topological properties of the zero crossings of differential operators are studied in terms of transversality and Morse theory.