Chapter 10: Extracting salient image structuresChapter 10 in Scale-Space Theory in Computer Vision experimentally demonstrates how the scale-space primal sketch can be used for extracting significant blob-like structures from image data as well as associated scale levels for treating those. By sorting the basic primitives in the scale-space primal sketch, the scale-space blobs, with respect to their normalized volumes in scale-space, a ranking on significance is obtained. Such descriptors constitute coarse segmentation cues, and can serve as regions of interest to other processes.
The treatment is based on two basic assumptions;
Responsible for this page: Tony Lindeberg