ABSTRACT
Feature analysis and pattern classification are often the final steps in the image analysis process. Feature analysis involves examining the features extracted from the images and determining if and how they can be used to solve the imaging problem under consideration. In some cases, the extracted features may not solve the problem, and the information obtained by analyzing the features can be used to determine further analysis methods that may prove helpful, including additional features that may be needed. Pattern classification, also called pattern recognition, involves the classification of objects into categories or classes. For many imaging applications, this classification needs to be done automatically, via a computer. The patterns to be classified consist of the extracted feature information, which are associated with image objects and the classes or categories will be application dependent.
