A Fourier Approach to 3D Local Feature Estimation from Volume Data | Zendy

Abhir Bhalerao | Zendy; R. Wilson | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Fourier Approach to 3D Local Feature Estimation from Volume Data

Author(s) -

Abhir Bhalerao,

R. Wilson

Publication year - 2001

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.15.48

Subject(s) - fourier transform , computer science , object (grammar) , representation (politics) , feature (linguistics) , artificial intelligence , volume (thermodynamics) , pattern recognition (psychology) , computer vision , process (computing) , feature extraction , estimation , algorithm , mathematics , physics , engineering , mathematical analysis , linguistics , philosophy , systems engineering , quantum mechanics , politics , political science , law , operating system

This paper describes an estimation and representation method for object structure in 3D image data. A windowed Fourier transform is used to estimate the parameters of 3D local structures (lines, planes and spheres) across a number of window sizes or scales. We present the estimation method and describe a decision process which aims to find the simplest object description. Results of the method on test data and blood vessels from magnetic resonance imaging are presented.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research