ABSTRACT
The need for adaptive image processing arises due to the need to incorporate the adaptive aspects of biological vision into machine vision systems. The inhomogeneity in images implies the existence of more than one image feature type that convey independent forms of information to the viewer. Although variations among different images can be great, a large number of images can be characterized by a small number of feature types. These are usually summarized under the labels of smooth regions, textures, and edges. The chapter describes the essential characteristics of these three kinds of features, and the image models usually employed for their characterization. It looks at how the specific capabilities of the computational intelligence techniques can address the various problems encountered in the design and parameterization of an adaptive image-processing system. The chapter also presents some of the key concepts discussed in this book.
