A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pulse and staircase edge models
Computer Vision, Graphics, and Image Processing
Context dependent edge detection and evaluation
Pattern Recognition
Robust Visual Method for Assessing the Relative Performance of Edge-Detection Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparison of edge detectors: a methodology and initial study
Computer Vision and Image Understanding
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Edge detector evaluation using empirical ROC curves
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Comparison of edge detector performance through use in an object recognition task
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Evaluating Image Segmentation Algorithms Using the Pareto Front
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
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
A methodology for quantitative performance evaluation of detection algorithms
IEEE Transactions on Image Processing
Capture of hair geometry from multiple images
ACM SIGGRAPH 2004 Papers
Automatic selection of edge detector parameters based on spatial and statistical measures
Computer Vision and Image Understanding
Optimal combination of document binarization techniques using a self-organizing map neural network
Engineering Applications of Artificial Intelligence
Evaluation for uncertain image classification and segmentation
Pattern Recognition
A method for assessment of segmentation success considering uncertainty in the edge positions
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
Evaluating edge detection through boundary detection
EURASIP Journal on Applied Signal Processing
Blind restoration of atmospherically degraded images by automatic best step-edge detection
Pattern Recognition Letters
Automatic generation of consensus ground truth for the comparison of edge detection techniques
Image and Vision Computing
Image segmentation evaluation: A survey of unsupervised methods
Computer Vision and Image Understanding
Comparative study of contour detection evaluation criteria based on dissimilarity measures
Journal on Image and Video Processing - Regular
On candidates selection for hysteresis thresholds in edge detection
Pattern Recognition
Proceedings of the International Workshop on Multilingual OCR
Automatic selection of edge detector parameters based on spatial and statistical measures
Computer Vision and Image Understanding
Solving the process of hysteresis without determining the optimal thresholds
Pattern Recognition
Estimation of proper parameter values for document binarization
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Boolean derivatives with application to edge detection for imaging systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Image Processing
A gravitational approach to edge detection based on triangular norms
Pattern Recognition
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
Pattern Recognition Letters
A novel method to look for the hysteresis thresholds for the Canny edge detector
Pattern Recognition
Comparative evaluation of noise insensitivity of linear edge detection techniques
Pattern Recognition and Image Analysis
Automatic edge detection by combining kohonen SOM and the canny operator
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Automatic evaluation of document binarization results
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Modeling, evaluation and control of a road image processing chain
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Fast communication: Analysis and improvement of SUSAN algorithm
Signal Processing
Generating fuzzy edge images from gradient magnitudes
Computer Vision and Image Understanding
Quantitative error measures for edge detection
Pattern Recognition
Multiscale edge detection based on Gaussian smoothing and edge tracking
Knowledge-Based Systems
Unsupervised edge detection and noise detection from a single image
Pattern Recognition
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Subjective evaluation by human observers is usually used to analyze and select an edge detector parametric setup when real-world images are considered. In this paper, we propose a statistical objective performance analysis and detector parameter selection, using detection results produced by different detector parameters. Using the correspondence between the different detection results, an estimated best edge map, utilized as an estimated ground truth (EGT), is obtained. This is done using both a receiver operating characteristics (ROC) analysis and a Chi-square test, and considers the trade off between information and noisiness in the detection results. The best edge detector parameter set (PS) is then selected by the same statistical approach, using the EGT. Results are demonstrated for several edge detection techniques, and compared to published subjective evaluation results. The method developed here suggests a general tool to assist in practical implementations of parametric edge detectors where an automatic process is required.