Abstract

The segmentation process is a crucial step in any computer-based vision system or application, due to its inherent difficulty and the importance of its results, which are decisive for the global efficiency of the vision system. The objective of segmentation is to individualize any different regions present in any particular image. Our main concern in this chapter is to model the image segmentation process as a pattern recognition problem, which, as an important practical corollary, implies that any method or technique from the pattern recognition field can, in principle, be applied to solve the segmentation problem in any computer-based vision system or application.KeywordsImage SegmentationMarkov Random FieldSegmentation ProcessDiscriminant FeatureDiscriminant VariableThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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