Pattern Recognition
Pattern recognition
A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Performance study of several global thresholding techniques for segmentation
Computer Vision, Graphics, and Image Processing
Elements of information theory
Elements of information theory
An analysis of histogram-based thresholding algorithms
CVGIP: Graphical Models and Image Processing
Optimum Image Thresholding via Class Uncertainty and Region Homogeneity
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge detection by scale multiplication in wavelet domain
Pattern Recognition Letters
Canny Edge Detection Enhancement by Scale Multiplication
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locally adaptive block thresholding method with continuity constraint
Pattern Recognition Letters
Thresholding of noisy shoeprint images based on pixel context
Pattern Recognition Letters
Multilevel thresholding for image segmentation through a fast statistical recursive algorithm
Pattern Recognition Letters
Optimal multi-level thresholding using a two-stage Otsu optimization approach
Pattern Recognition Letters
Image thresholding by variational minimax optimization
Pattern Recognition
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Histogram thresholding using fuzzy and rough measures of association error
IEEE Transactions on Image Processing
Characteristic analysis of Otsu threshold and its applications
Pattern Recognition Letters
Median-based image thresholding
Image and Vision Computing
A modified valley-emphasis method for automatic thresholding
Pattern Recognition Letters
Ridler and Calvard's, Kittler and Illingworth's and Otsu's methods for image thresholding
Pattern Recognition Letters
Image Thresholding Using Graph Cuts
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Adaptive thresholding by variational method
IEEE Transactions on Image Processing
A recursive thresholding technique for image segmentation
IEEE Transactions on Image Processing
Image segmentation by histogram thresholding using fuzzy sets
IEEE Transactions on Image Processing
Tsallis entropy and the long-range correlation in image thresholding
Signal Processing
Image bilevel thresholding based on stable transition region set
Digital Signal Processing
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Otsu method is one of the most popular image thresholding methods. The segmentation results of Otsu method are in general acceptable for the gray level images with bimodal histogram patterns that can be approximated with mixture Gaussian modal. However, it is difficult for Otsu method to determine the reliable thresholds for the images with mixture non-Gaussian modal, such as mixture Rayleigh modal, mixture extreme value modal, mixture Beta modal, mixture uniform modal, comb-like modal. In order to determine automatically the robust and optimum thresholds for the images with various histogram patterns, this paper proposes a new global thresholding method based on a maximum-image-similarity idea. The idea is inspired by analyzing the relationship between Otsu method and Pearson correlation coefficient (PCC), which provides a novel interpretation of Otsu method from the perspective of maximizing image similarity. It is then natural to construct a maximum similarity thresholding (MST) framework by generalizing Otsu method with the maximum-image-similarity concept. As an example, a novel MST method is directly designed according to this framework, and its robustness and effectiveness are confirmed by the experimental results on 41 synthetic images and 86 real world images with various histogram shapes. Its extension to multilevel thresholding case is also discussed briefly.