Automated

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.

View your multi-channel data as a montage with one image per channel plus a merged, color channel (useful to create figures for communication). 

This viewer plugin will split all N channels of the active sequence into a montage of N+1 images, with one image for each channel, plus an additionnal color (merge) rendering.

Anisotropic filter implements the classical Coherence Enhancing Diffusion Filter [Weickert]. The plugins works on the first band of a 2D, 3D and 4D sequence. 2D and 3D algorithms are proposed. For the 3D case 2 options are available: CED 1D option is the classical filter that acts mainly on the most homogeneous structure direction; CED 2D option acts on the tangential plane of the structure.

Image segmentation by representative colors selection. Two versions are available :

• thresholding
• positive and negative colors selection and SVM learning