6.2.2 The Classification Algorithm
The Classification algorithm uses class descriptions to classify image objects. It evaluates the class
description and determines whether an image object can be a member of a class.
Classes without a class description are assumed to have a membership value of one. You can use
this algorithm if you want to apply fuzzy logic to membership functions, or if you have combined
conditions in a class description.
Based on the calculated membership value, information about the three best-fitting classes is
stored in the image object classification window; therefore, you can see into what other classes this
image object would fit and possibly fine-tune your settings. To apply this function:
1. In the Edit Process dialog box, select classification from the Algorithm list and define the
domain
2. From the algorithm parameters, select active classes that can be assigned to the image objects
3. Select Erase Old Classification to remove existing classifications that do not match the class
description
4. Select Use Class Description if you want to use the class description for classification. Class
descriptions are evaluated for all classes. An image object is assigned to the class with the
highest membership value.