A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Fast Algorithms for Low-Level Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
A fast thresholding selection procedure for multimodal and unimodal histograms
Pattern Recognition Letters
Robust Visual Method for Assessing the Relative Performance of Edge-Detection Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Thresholding Images of Line Drawings with Hysteresis
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Real-time thresholding with Euler numbers
Pattern Recognition Letters
Fast image thresholding by finding the zero(s) of the first derivative of between-class variance
Machine Vision and Applications
Unimodal thresholding for edge detection
Pattern Recognition
Pattern Recognition Letters
Segmentation of Images Having Unimodal Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphological grayscale reconstruction in image analysis: applications and efficient algorithms
IEEE Transactions on Image Processing
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A unimodal thresholding method for the Laplacian-based Canny-Deriche edge detector featuring a double-thresholding approach and reconstruction strategy was proposed. In this method, an improved image segmentation technique derived from an image histogram was developed. The accuracy of the segmentation was compared with the Otsu, Rosin, and Canny-hysteresis techniques. It was shown that the proposed method is more robust and accurate in detecting edges, resulting in a sensitivity of consistently more than 17.1%, with a standard deviation of less than 0.087, and a figure of merit (FOM) greater than 0.787 for all images tested in this study.