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* '''Object Attribute'''-based methods search a measure of similarity between the gray-level and the binarized images, such as fuzzy shape similarity, edge coincidence, etc.
* '''Spatial''' methods [that] use higher-order probability distribution and/or correlation between pixels
* '''Local''' methods adapt the threshold value on each pixel to the local image characteristics. In these methods, a different T is selected for each pixel in the image. The T can be of many types like mean, gaussian, median, mode(not used generally).
==Multiband thresholding==
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