Unimodal thresholding

By Paul L. Rosin. Pattern Recognition, 2001

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Image thresholding using Tsallis entropy (2004, background): “The nonextensive entropy is a recent development in statistical mechanics and it is a new formalism in which a real quantity q was introduced as parameter for physical systems that present long range interactions, long time memories and fractal-type structures.”
A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment (2007, background): “…according to a difference operator (this is the typical case of multispectral images) or a ratio/log-ratio operator (as usually done in a SAR image), as well as with more complex strategies based on context-sensitive dissimilarity measures that are computed between statistical distributions [14].”
An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images (2002, methodology): “…image processing literature some automatic techniques for choosing a suitable decision threshold for change-detection problems have been proposed [28], in remote-sensing applications such a choice has generally been made by using nonautomatic heuristic strategies based on trial-and-error…”