Chapter 7: The scalespace primal sketchChapter 7 in ScaleSpace Theory in Computer Vision presents a representation for making explicit image structures in scalespace as well as the relations between image structures at different scales. The representation is based on blobs that are either brighter or darker than the background. At any scale in scalespace greylevel blobs are defined at that scale. Then, these greylevel blobs are linked across scales into objects called scalespace blobs. The relations between these blobs at different scales define a hierarchical data structure called the scalespace primal sketch, and it is proposed that the volume of a scalespace blob in scalespace constitutes a natural measure of blob significance.To enable comparisons of significance between structures at different scales, it is necessary to measure significance in such a way that structures at different scales are treated in a uniform manner. It is shown how a definition of a transformed scale parameter, effective scale, can be expressed such that it gives intuitive results for both continuous and discrete signals. The volumes of the greylevel blobs must be transformed in a similar manner. That normalization is based on simulation results accumulated for a set of reference signals.
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