A note on the gradient of a multi-image
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge extraction using entropy operator
Computer Vision, Graphics, and Image Processing
Edge Detection and Linear Feature Extraction Using a 2-D Random Field Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance characterization in computer vision
CVGIP: Image Understanding
Performance characteristics of vision algorithms
Machine Vision and Applications - Special issue on performance evaluation
A protocol for performance evaluation of line detection algorithms
Machine Vision and Applications - Special issue on performance evaluation
Evaluation and comparison of different segmentation algorithms
Pattern Recognition Letters
Comparison of edge detectors: a methodology and initial study
Computer Vision and Image Understanding
Color image processing and applications
Color image processing and applications
Edge detector evaluation using empirical ROC curves
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Comparison of Methods for Detecting Corner Points from Digital Curves
Selected Papers from the First International Workshop on Graphics Recognition, Methods and Applications
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
Characterization of empirical discrepancy evaluation measures
Pattern Recognition Letters
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Amsterdam Library of Object Images
International Journal of Computer Vision
Evaluation of global thresholding techniques in non-contextual edge detection
Pattern Recognition Letters
Detecting boundaries in a vector field
IEEE Transactions on Signal Processing
Vector order statistics operators as color edge detectors
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Contour detection based on nonclassical receptive field inhibition
IEEE Transactions on Image Processing
Color edge detection using vector order statistics
IEEE Transactions on Image Processing
Edge detection of color images using directional operators
IEEE Transactions on Circuits and Systems for Video Technology
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
Pattern Recognition Letters
An ant-inspired algorithm for detection of image edge features
Applied Soft Computing
Automatic construction of invariant features using genetic programming for edge detection
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Unsupervised edge detection and noise detection from a single image
Pattern Recognition
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Two new methods are proposed to automatically generate consensus ground truth for real images: Minimean and Minimax methods. These methods and a version of the Yitzhaky and Peli method have been used to provide ground truth for the comparison of edge detection techniques. The developed experiments have revealed that the Minimean consensus method is suitable for the comparison of edge detectors because its results are equivalent to those obtained with artificial or manual ground truth.