CLASSIFYING IMAGE FEATURES
Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
1 . A method for classifying different parts of a sample into respective classes based on an image stack comprising a set of more than three spectral images, the method comprising using one or more processors to perform the following steps: classifying different regions of the image stack into respective classes based on the set of more than three spectral images, wherein each region comprises multiple pixels so that each classification involves both spectral and spatial information.
2 . Apparatus comprising:
a means for obtaining an image stack comprising a set of more than three spectral images; and
an electronic processor coupled to the means and configured to classify different regions of the image stack into respective classes based on the set of more than three spectral images, wherein each region comprises multiple pixels so that each classification involves both spectral and spatial information.