Edge Detection and Linear Feature Extraction Using a 2-D Random Field Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Moving Objects Using the Rigidity Constraint
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Edge Detection and Surface Reconstruction Using Refined Regularization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Angular Dispersion of Gradient Direction for Detecting Edge Ribbons
IEEE Transactions on Pattern Analysis and Machine Intelligence
Logical/Linear Operators for Image Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
An Adaptive Contour Closure Algorithm and Its Experimental Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection with Embedded Confidence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
Σynergos—Synergetic VisionResearch
Real-Time Systems
Stand-alone objective segmentation quality evaluation
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
Ambiguity distance: an edge evaluation measure using fuzziness of edges
Fuzzy Sets and Systems - Information processing
An Objective Comparison Methodology of Edge Detection Algorithms Using a Structure from Motion Task
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Evaluation of global image thresholding for change detection
Pattern Recognition Letters
A Method for Objective Edge Detection Evaluation and Detector Parameter Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Accurate and robust line segment extraction by analyzing distribution around peaks in Hough space
Computer Vision and Image Understanding
A new efficient SVM-based edge detection method
Pattern Recognition Letters
A simple cell model with dominating opponent inhibition for robust image processing
Neural Networks - 2004 Special issue Vision and brain
Salient Closed Boundary Extraction with Ratio Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new method for important points extraction
CompSysTech '04 Proceedings of the 5th international conference on Computer systems and technologies
mCLOVER: mobile content-based leaf image retrieval system
Proceedings of the 13th annual ACM international conference on Multimedia
An Evaluation System for String Extraction in the Airline Coupon Project
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Performance evaluation of corner detectors using consistency and accuracy measures
Computer Vision and Image Understanding
Automatic selection of edge detector parameters based on spatial and statistical measures
Computer Vision and Image Understanding
A Statistics-Based Approach to Binary Image Registration with Uncertainty Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new edge detector based on Fresnel diffraction
Pattern Recognition Letters
Image and Vision Computing
A novel approach for edge detection based on the theory of universal gravity
Pattern Recognition
Stand-alone objective segmentation quality evaluation
EURASIP Journal on Applied Signal Processing
Editorial: performance evaluation in image processing
EURASIP Journal on Applied Signal Processing
Evaluating edge detection through boundary detection
EURASIP Journal on Applied Signal Processing
Performance characterization in computer vision: A guide to best practices
Computer Vision and Image Understanding
A direction based novel edge detector
ICAI'06 Proceedings of the 7th WSEAS International Conference on Automation & Information
On candidates selection for hysteresis thresholds in edge detection
Pattern Recognition
An adaptive segmentation method using MRF model for suburban aerial images
International Journal of Computer Applications in Technology
Information Sciences: an International Journal
Performance evaluation of corner detectors using consistency and accuracy measures
Computer Vision and Image Understanding
Automatic selection of edge detector parameters based on spatial and statistical measures
Computer Vision and Image Understanding
Histogram thresholding using fuzzy and rough measures of association error
IEEE Transactions on Image Processing
A robust approach for automatic detection and segmentation of cracks in underground pipeline images
Image and Vision Computing
Solving the process of hysteresis without determining the optimal thresholds
Pattern Recognition
Gradient histogram: Thresholding in a region of interest for edge detection
Image and Vision Computing
Fast line-segment extraction for semi-dense stereo matching
RobVis'08 Proceedings of the 2nd international conference on Robot vision
A segmentation approach in novel real time 3D plant recognition system
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
A new methodology for evaluation of edge detectors
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
IEEE Transactions on Image Processing
A gravitational approach to edge detection based on triangular norms
Pattern Recognition
Dynamic background modeling for a safe road design
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
An improved method for edge detection based on interval type-2 fuzzy logic
Expert Systems with Applications: An International Journal
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
Goal evaluation of segmentation algorithms for traffic sign recognition
IEEE Transactions on Intelligent Transportation Systems
Pattern Recognition Letters
A novel method to look for the hysteresis thresholds for the Canny edge detector
Pattern Recognition
Robust line detection using two-orthogonal direction image scanning
Computer Vision and Image Understanding
Morphological image enhancement procedure design by using genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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
ELIS: an efficient leaf image retrieval system
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Evaluating minimum spanning tree based segmentation algorithms
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
The performance of various edge detector algorithms in the analysis of total hip replacement x-rays
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Eigen transformation based edge detector for gray images
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Improved method for gradient-threshold edge detector based on HVS
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Cognition theory based performance characterization in computer vision
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Fast measuring particle size by using the information of particle boundary and shape
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Performance characterization in computer vision: the role of visual cognition theory
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
A subjective method for image segmentation evaluation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
A shape-based retrieval scheme for leaf images
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
CLOVER: a mobile content-based leaf image retrieval system
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
Unimodal thresholding for Laplacian-based Canny-Deriche filter
Pattern Recognition Letters
Noise-robust edge detector combining isotropic and anisotropic Gaussian kernels
Pattern Recognition
Generating fuzzy edge images from gradient magnitudes
Computer Vision and Image Understanding
Image segmentation using fuzzy logic, neural networks and genetic algorithms: survey and trends
Machine Graphics & Vision International Journal
Quantitative error measures for edge detection
Pattern Recognition
A Performance Evaluation of Volumetric 3D Interest Point Detectors
International Journal of Computer Vision
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A new method for evaluating edge detection algorithms is presented and applied to measure the relative performance of algorithms by Canny, Nalwa-Binford, Iverson-Zucker, Bergholm, and Rothwell. The basic measure of performance is a visual rating score which indicates the perceived quality of the edges for identifying an object. The process of evaluating edge detection algorithms with this performance measure requires the collection of a set of gray-scale images, optimizing the input parameters for each algorithm, conducting visual evaluation experiments and applying statistical analysis methods. The novel aspect of this work is the use of a visual task and real images of complex scenes in evaluating edge detectors. The method is appealing because, by definition, the results agree with visual evaluations of the edge images.