Fast and subpixel precise blob detection and attribution

Abstract

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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