This paper introduces an algorithm for fast and subpixel precise detection of small, compact image primitives ("blobs"). The algorithm is based on differential geometry and incorporates a complete scale-space description. Hence, blobs of arbitrary size can be extracted by just adjusting the scale parameter. In addition to center point and boundary of a blob, also a number of attributes are extracted. These describe the specific blob characteristics in more detail and, thus, allow for a subsequent classification of blobs. Several examples on real images illustrate the performance of the proposed algorithm.


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    Title :

    Fast and subpixel precise blob detection and attribution


    Contributors:
    Hinz, S. (author)


    Publication date :

    2005-01-01


    Size :

    187287 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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