Adaptive Windows for Texture Discrimination | Zendy

B. Kani | Zendy; Manissa J. Dobree-Wilson | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Adaptive Windows for Texture Discrimination

Author(s) -

B. Kani,

Manissa J. Dobree-Wilson

Publication year - 1987

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.1.35

Subject(s) - texture (cosmology) , computer science , window (computing) , task (project management) , artificial intelligence , computer vision , human visual system model , image texture , image (mathematics) , adaptive system , image processing , engineering , operating system , systems engineering

The application of image processing operators known as adaptive windows to the task of complex texture discrimination is reported. Comparisons are made with the ability of the pre-attentive human visual system for the same tasks. A modification to the standard adaptive window is presented which has several advantages for this type of image processing task. The performance of the adaptive windows is reported with reference to texture described in terms of statistical parameters, textons and periodicity radii.

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