A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representation of local geometry in the visual system
Biological Cybernetics
Two stages of curve detection suggest two styles of visual computation
Neural Computation
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Operator Which Locates Edges in Digitized Pictures
Journal of the ACM (JACM)
Steerable-Scalable Kernels for Edge Detection and Junction Analysis
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Toward discrete geometric models for early vision
Toward discrete geometric models for early vision
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Robust Visual Method for Assessing the Relative Performance of Edge-Detection Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Unbiased Detector of Curvilinear Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Scale Control for Edge Detection and Blur Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Image Segmentation—Part I: Detection of Regular Curves in a Vector Graph
International Journal of Computer Vision
Topographic Maps and Local Contrast Changes in Natural Images
International Journal of Computer Vision
International Journal of Computer Vision
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Edge Detection with Embedded Confidence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Complexity, Confusion, and Perceptual Grouping. Part I: The Curve-like Representation
Journal of Mathematical Imaging and Vision
Complexity, Confusion, and Perceptual Grouping. Part I: The Curve-like Representation
International Journal of Computer Vision - Joint special issue on image analysis
Contour-Based Correspondence for Stereo
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
A Markov Process Using Curvature for Filtering Curve Images
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
On Computing Visual Flows with Boundaries: The Case of Shading and Edges
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Computing in Cortical Columns: Curve Inference and Stereo Correspondence
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Sketches with Curvature: The Curve Indicator Random Field and Markov Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Perceptual Organization of Texture Flow: A Contextual Inference Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual Grouping by Selection of a Logically Minimal Model
International Journal of Computer Vision
Computation in a single Neuron: Hodgkin and Huxley revisited
Neural Computation
Suggestive contours for conveying shape
ACM SIGGRAPH 2003 Papers
Salient Closed Boundary Extraction with Ratio Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contextual Inference in Contour-Based Stereo Correspondence
International Journal of Computer Vision
Contour detection based on contextual influences
Image and Vision Computing
Image and Vision Computing
Highlight lines for conveying shape
Proceedings of the 5th international symposium on Non-photorealistic animation and rendering
Evaluating edge detection through boundary detection
EURASIP Journal on Applied Signal Processing
Demarcating curves for shape illustration
ACM SIGGRAPH Asia 2008 papers
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Robust line detection using two-orthogonal direction image scanning
Computer Vision and Image Understanding
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
An improved representation of junctions through asymmetric tensor diffusion
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Edge Drawing: A combined real-time edge and segment detector
Journal of Visual Communication and Image Representation
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We propose a language for designing image measurement operators suitable for early vision. We refer to them as logical/linear (L/L) operators, since they unify aspects of linear operator theory and Boolean logic. A family of these operators appropriate for measuring the low-order differential structure of image curves is developed. These L/L operators are derived by decomposing a linear model into logical components to ensure that certain structural preconditions for the existence of an image curve are upheld. Tangential conditions guarantee continuity, while normal conditions select and categorize contrast profiles. The resulting operators allow for coarse measurement of curvilinear differential structure (orientation and curvature) while successfully segregating edge-and line-like features. By thus reducing the incidence of false-positive responses, these operators are a substantial improvement over (thresholded) linear operators which attempt to resolve the same class of features.