Abstract
A major motivation for this research has been to investigate whether or not the scale-space model allows for determination and detection of stable phenomena. In this chapter it will be demonstrated that such determination and detection are indeed possible, and that the suggested representation can be used for extracting regions of interest with associated stable scales from image in a solely bottom-up data-driven way. The treatment is based on the following assumption:
Structures, which are significant in scale-space, are likely to correspond to significant structures in the image.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1994 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Lindeberg, T. (1994). Detecting salient blob-like image structures and their scales. In: Scale-Space Theory in Computer Vision. The Springer International Series in Engineering and Computer Science, vol 256. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6465-9_10
Download citation
DOI: https://doi.org/10.1007/978-1-4757-6465-9_10
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5139-7
Online ISBN: 978-1-4757-6465-9
eBook Packages: Springer Book Archive