While many systems for optical reading of printed matter have been developed and are now in wide use, comparatively little success has been achieved in the automatic interpretation of optical images of three-dimensional scenes. This paper is addressed to the latter problem and is specifically concerned with automatic recognition of aircraft types from optical images. An experimental system is described in which certain features called moment invariants are extracted from binary television images and are then used for automatic classification. This experimental system has exhibited a significantly lower error rate than human observers in a limited laboratory test involving 132 images of six aircraft types. Preliminary indications are that this performance can be extended to a wider class of objects and that identification can be accomplished in one second or less with a small computer.


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    Title :

    Aircraft identification by moment invariants


    Additional title:

    Flugzeugidentifizierung durch Moment-Invarianten


    Contributors:

    Published in:

    Publication date :

    1977


    Size :

    8 Seiten, 17 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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