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<strong>Definiens</strong> <strong>Developer</strong> 7 - User Guide<br />

2 Basic Concepts<br />

2.9 Class and Classification<br />

A class is a category of image objects. It can both be used to simply label image objects<br />

or to describe its semantic meaning. Classification is a procedure that associates image<br />

objects with an appropriate class labeled by a name and a color.<br />

Figure 12: Legend window listing classes.<br />

Information contained in image objects is used as a filter for classification. Based on this,<br />

image objects can be analyzed according defined criteria and assigned to classes that<br />

best meet these criteria.<br />

The classes can be grouped in a hierarchical manner, allowing the passing down of their<br />

defining class descriptions to child classes using the inheritance hierarchy. Classes form a<br />

structured network, called class hierarchy.<br />

Figure 13: Sample Class Hierarchy window.<br />

Through the process of classification, each image object is assigned to a certain—or<br />

no—class and thus connected with the class hierarchy. The result of the classification is a<br />

network of classified image objects with concrete attributes, concrete relations to each<br />

other and concrete relations to the classes in the class hierarchy.<br />

2.10 Image Object Hierarchy<br />

During image analysis, multiple image object levels can be created and layered above<br />

the basic pixel level. Two or more image object levels build the image object hierarchy.<br />

Put simply: The image object hierarchy serves as a storage rack for all image objects<br />

levels which represent the different shelves storing the image objects. Thus the image<br />

object hierarchy provides the working environment for the extraction of image<br />

information.<br />

The entirety of image objects is organized into a hierarchical network of image objects.<br />

Such a network is called image object hierarchy. It consists of one or more image object<br />

levels, from fine resolution on the lowest image object level to coarse resolution on the<br />

highest image object level.<br />

26

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