1998 | OriginalPaper | Buchkapitel
Target Recognition
verfasst von : Thomas Lindblad, PhD, Jason M. Kinser, DSc
Erschienen in: Image Processing using Pulse-Coupled Neural Networks
Verlag: Springer London
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Target recognition is the ability to find and delineate objects within an image. This is not an easy task for most applications. The targets can be presented in a variety of different views, rotations, scales, illumination, etc. Traditional target recognition methods have been successful only in limited cases and views. However, the three basic steps to Automatic Target Recognition or ATR are well known: (i) segment the image into regions, (ii) determine features in the image regions, and (iii) classify the regions by their features. Living creatures do this ail the time. Flies do it. Fish do it. Spiders do it, even little spiders. Yet it is still eluding researchers.