IEEE Xplore - Login

Cart | Sitemap | Help

Login


	BROWSE	SEARCH	IEEE XPLORE GUIDE	SUPPORT


Article Information

Scale selection for anisotropic scale-space: application to volumetric tumor characterization Okada, K.; Comaniciu, D.; Krishnan, A. Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on Volume 1, Issue , 27 June-2 July 2004 Page(s): I-594 - I-601 Vol.1 Digital Object Identifier 10.1109/CVPR.2004.1315086 Summary:A unified approach for treating the scale selection problem in the anisotropic scale-space is proposed. The anisotropic scale-space is a generalization of the classical isotropic Gaussian scale-space by considering the Gaussian kernel with a fully parameterized analysis scale (bandwidth) matrix. The "maximum-over-scales" and the "most-stable-over-scales" criteria are constructed by employing the "L-normalized scale-space derivatives", i.e., response-normalized derivatives in the anisotropic scale-space. This extension allows us to directly analyze the anisotropic (ellipsoidal) shape of local structures. The main conclusions are (i) the norm of the γ- and L-normalized anisotropic scale-space derivatives with a constant γ =1/2 are maximized regardless of the signal's dimension iff the analysis scale matrix is equal to the signal's covariance and (ii) the most-stable-over-scales criterion with the isotropic scale-space outperforms the maximum-over-scales criterion in the presence of noise. Experiments with 1D and 2D synthetic data confirm the above findings. 3D implementations of the most-stable-over-scales methods are applied to the problem of estimating anisotropic spreads of pulmonary tumors shown in high-resolution computed-tomography (HRCT) images. Comparison of the first- and second-order methods shows the advantage of exploiting the second-order information. » View citation and abstract



IEEE Members

Log in by entering your IEEE Web Account Username and Password. IEEE Communications Society members: If you subscribe to the IEEE Electronic Periodicals Package or IEEE Electronic Periodicals Package Plus, you must access your subscription at www.comsoc.org.



Users at Subscribing Institutions

Check with your librarian, information professional, or system manager to determine if you need to log in. Please complete the online Technical Support Form if you need assistance.



Already Purchased This Article?

Select the Purchase History link to access the document. You will have 5 Days after purchase to access the Full Text PDF. Please complete the online Technical Support Form if you need assistance.



Guests

• Search and access Abstract records free of charge • Register for table of contents alerts • Purchase Full Text PDF documents » Learn more about subscription options or how to become an IEEE Member.

You are not logged in.

Username

Password

» Forgot your password?

Please remember to log out when you have finished your session.

You must log in to access:
• Advanced or Author Search
• CrossRef Search
• AbstractPlus Records
• Full Text PDF
• Full Text HTML

Access this document

» Buy this document now

» Learn more about

subscription options

» Learn more about

purchasing articles

and standards

Learn more about IEEE Subscriptions

Help Contact Us Privacy & Security IEEE.org