Image thresholding

This plugin threshold an image using the Maximum Entropy algorithm, which aims at maximizing the inter-class entropy. Entropy is defined as -sum(p.*log2(p)), where p contains the histogram bin counts. This thresholding is very useful to segment images with few bright objects on large dark background. In ImageJ/FIJI you can acces this tool in Image->Adjust->Threshold and choose in the list In Aphelion, you can access this tool in Seglmentation->Threshold-> AphImgEntropyThreshold

This plugin automatically threshold an image using the Mixture Modeling algorithm. It is an histogram-based technique that assumes that the histogram distribution is represented by two Gaussian curves.

This ImageJ plugin segments the image in classes by thresholding. It uses the same algorithm found in Otsu Thresholding, but was adapted to output more than 2 classes out of the process.