A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Adaptive Determination of Filter Scales for Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast thresholding selection procedure for multimodal and unimodal histograms
Pattern Recognition Letters
Edges: saliency measures and automatic thresholding
Machine Vision and Applications
Robust Visual Method for Assessing the Relative Performance of Edge-Detection Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge detector evaluation using empirical ROC curves
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
A Method for Objective Edge Detection Evaluation and Detector Parameter Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comments on "ground from figure discrimination"
Pattern Recognition Letters
Characterization of empirical discrepancy evaluation measures
Pattern Recognition Letters
Automatic selection of edge detector parameters based on spatial and statistical measures
Computer Vision and Image Understanding
Unimodal thresholding for edge detection
Pattern Recognition
Evaluation of global thresholding techniques in non-contextual edge detection
Pattern Recognition Letters
Thresholding in edge detection: a statistical approach
IEEE Transactions on Image Processing
Solving the process of hysteresis without determining the optimal thresholds
Pattern Recognition
IEEE Transactions on Image Processing
A gravitational approach to edge detection based on triangular norms
Pattern Recognition
Edge detection in the feature space
Image and Vision Computing
Pattern Recognition Letters
A novel method to look for the hysteresis thresholds for the Canny edge detector
Pattern Recognition
Generating fuzzy edge images from gradient magnitudes
Computer Vision and Image Understanding
Segmentation for high-throughput image analysis: watershed masked clustering
ISoLA'12 Proceedings of the 5th international conference on Leveraging Applications of Formal Methods, Verification and Validation: applications and case studies - Volume Part II
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
Information Sciences: an International Journal
On the impact of anisotropic diffusion on edge detection
Pattern Recognition
A new gravitational image edge detection method using edge explorer agents
Natural Computing: an international journal
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Manual determination of hysteresis thresholds is time-consuming. Several methods approach the problem of unsupervised determination of edge detector parameters, but they require human intervention to establish the initial range of values in which to detect the best parameter value and the result depends on the range of values initially used. In this paper, a method is proposed to determine candidates to hysteresis thresholds in an unsupervised manner. The method provides a criterion to reduce in a significant way the number of initial values to be considered as threshold candidates. The proposed method can be applied to any feature image provided by an edge detector upon which hysteresis must be implemented.