A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Automatic thresholding of gray-level pictures using two-dimensional entropy
Computer Vision, Graphics, and Image Processing
Nonextensive Entropic Image Thresholding
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
Image thresholding using Tsallis entropy
Pattern Recognition Letters
A new criterion for automatic multilevel thresholding
IEEE Transactions on Image Processing
Image histogram thresholding based on multiobjective optimization
Signal Processing
Fractional differentiation and non-Pareto multiobjective optimization for image thresholding
Engineering Applications of Artificial Intelligence
Computational applications of nonextensive statistical mechanics
Journal of Computational and Applied Mathematics
A thresholding method based on two-dimensional fractional differentiation
Image and Vision Computing
Optimal threshold selection for tomogram segmentation by reprojection of the reconstructed image
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
A 2-phase 2-D thresholding algorithm
Digital Signal Processing
Engineering Applications of Artificial Intelligence
Median-based image thresholding
Image and Vision Computing
Two-dimensional minimum local cross-entropy thresholding based on co-occurrence matrix
Computers and Electrical Engineering
Tsallis entropy and the long-range correlation in image thresholding
Signal Processing
Secure randomized image watermarking based on singular value decomposition
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
q-Gaussian mixture models for image and video semantic indexing
Journal of Visual Communication and Image Representation
Entropic image thresholding based on GLGM histogram
Pattern Recognition Letters
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In this paper, we present a thresholding technique based on two-dimensional Tsallis-Havrda-Charvat entropy. The effectiveness of the proposed method is demonstrated by using examples from the real-world and synthetic images.