Abstract
Image processing techniques may be applied to assist a human observer in TV-reconnaissance tasks. Various enhancement methods have been investigated experimentally with regard to their measurable influence on observer performance. Global contrast enhancement by means of linear histogram stretching proved to be most suitable in target detection, in comparison with histogram equalization or histogram hyperbolization. In case of target classification local enhancement techniques and zoom operations resulted in an essential increase of observer performance. When implementing interactive image processing techniques in observation tasks the design of a convenient man-machine interface is a focal point. An operator station is put forward, whereby an observer may specify procedures and parameters by means of interactive tools (joystick, lightpen, function keys) using a user-guiding menu technique.
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