A knowledge based system for image understanding

Reports the development, using expert system technology, of a model for image understanding which takes as its input the basic transactions involved in image enhancement and image encodement, and generates as its output recommendations as to the best approach or set of processes to analyse an image. The paper examines the broad area of visual processing and utilises the study of human visual information processing as a starting point for the model. Inevitably, this approach draws away from the more statistical/mathematical algorithmic methods of image processing towards the fundamental aspects of psychological study and stresses the need to develop a theory for visual information processing in order to perform the complex task of image understanding.<
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