Adaptive image processing a computational intelligence perspective
In this book, we consider the application of computational intelligence techniques to the problem of adaptive image processing. In adaptive image processing, it is usually required to identify each image pixel with a particular feature type (eg., smooth regions, edges, textures, etc.) for separate processing, which constitutes
a segmentation problem. We will then establish image models to describe the desired appearance of the respective feature types or, in other words, to characterize each feature type. Finally, we modify the pixel values in such a way that the appearance of the processed features conforms more closely with that specified by the feature models, where the degree of discrepancy is usually measured in terms of a cost function. In other words, we are searching for a set of parameters which minimize this function, i.e., an optimization problem.
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