Image thresholding

ITK is an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis.

Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data. It is widely used and contributed in the medical imaging field.

Strengths

Highly optimized C++, well commented Consistently updated (new) algorithms many tools and softwares are built upon it connected with VTK Insight Journal (open code and sample data) Extensive list of examples & tutorials

Limitations

yet detached from the bioimage analysis world hard to use for end users without development skills

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.