Classifying Samples

NI Classification Training Interface

Classifying Samples

Use the Classify tab to classify image samples in the NI Classification Training Interface.

Complete the following steps to classify an image sample:

  1. Click Train Classifier.
  2. Click File»Open Images.
  3. Navigate to the image you want to classify and click Open.
    Tip  You can select all of the files in a folder by enabling the Select All Files option, or you can select multiple files by holding the <Ctrl> key while clicking file names. When you select an image from the list, the Preview Image window displays the image, file type, image size, and image type. If you have selected a collection of images, the Preview window displays all images in a sequence. To view the sequence at a different rate, adjust the slide to the right of the Preview Image window.
    Tip  To browse the images you opened, use the navigation buttons.
  4. Draw an ROI around the sample you want to classify.

The assigned class label for the sample appears in the Assigned Class Label indicator.

The Classification Score is the degree of certainty that a sample is assigned to one class instead of another class. The Identification Score is the degree of similarity between a sample and members of the class to which the sample is assigned.

The Distances chart displays the distance between the classified sample and other classes.

Note  If you change the Preprocessing, Engine Options, or Particle Classifier Options settings, you must retrain the classifier.