Naive Bayes Clustering

The naive Bayes classifier is a simple but effective classification algorithm which can be used for image segmentation/clustering. We have created a custom naive Bayes classifier and integrated it into the QCPA framework. This method is suitable only when you

Particle Analysis

Particle analysis provides information on the spatial properties of clusters/patches in an image, such as the shape, size angle and distribution of particles within a given cluster/patch. This is typically run within the QCPA framework, but can be used in

RNL Clustering

The RNL clustering technique was developed specifically for the QCPA workflow, parts of which require a colour image be segmented into different pattern elements or ‘clusters’. Unlike previous approaches this technique uses log receptor noise limited (RNL) modelling of Delta-S