The Classifier command is used to convert regions of interest, formally extracted from the image using a segmentation algorithm such as threshold, into objects, where each object is assigned to an object class. For classified objects metrics are calculated, they are stored to the resulting database and can be used in further object-processing steps.

ImageC's classifier provides several filter methods which can be used to to filter out artefact. All objects which match the filter criteria are assigned to the match class, objects not matching the filter criteria are assigned to the no match. The filter can be set for each threshold classes individually. This allows the classifier to assign each ROI of a threshold classes to a specific match and no match object class. Use the button to add as many filters as needed. As a rule, one filter for each threshold class is used.

Tip See section Objects for more detailed information about object metrics.

Objects are extracted from a binary image representing thee regions of interest of the image. For each extracted object a class is assigned and metrics are measured. Objects are stored to the resulting database and can be used in further pipeline steps.