A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition
A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Processing of engineering line drawings for automatic input to CAD
Pattern Recognition
Computer Vision, Graphics, and Image Processing
A new set of fast algorithms for mathematical morphology I: idempotent geodesic transforms
CVGIP: Image Understanding
An analysis of histogram-based thresholding algorithms
CVGIP: Graphical Models and Image Processing
Evaluation of Binarization Methods for Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge-Based Segmentation for Automatic Map Interpretation
Selected Papers from the First International Workshop on Graphics Recognition, Methods and Applications
The Performance Evaluation of Thresholding Algorithms for Optical character Recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Processing Poor Quality Line Drawings by Local Estimation of Noise
Proceedings of the 4th International Conference on Pattern Recognition
Unimodal thresholding for Laplacian-based Canny-Deriche filter
Pattern Recognition Letters
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John Canny's two-level thresholding with hysteresis is now a de facto standard in edge detection. The method consistently outperforms single threshold techniques and is simple to use, but relies on edge detection operators' ability to produce thin input data. To date, thresholding with hysteresis has only been applicable to thick data such as line drawings by top-down systems using a priori knowledge of image content to specify the pixel tracks to be considered. We present, and discuss within the context of line drawing interpretation, a morphological implementation of thresholding with hysteresis that requires only simple thresholding and idempotent dilation and which is applicable to thick data. Initial experiments with the technique are described. A more complete evaluation and formal comparison of the performance of the proposed algorithm with alternative line drawing binarisation methods is underway and will be the subject of a future report.