One such problem that we address in this paper is correcting for slowly varying background spatial intensity in Magnetic Resonance images. We demonstrate the ...

In this work, we propose a generalized scale model which is spatially adaptive like other local morphometric models, and yet possesses the global spirit of ...

One such problem that we address in this paper is correcting for slowly varying background spatial intensity in Magnetic Resonance images. We demonstrate the ...

We qualitatively and quantitatively demonstrate the superiority of our generalized scale-based correction method over an existing scale-based correction ...

ABSTRACT scale is a fundamental concept useful in almost all image processing and analysis tasks including segmentation,.

both the g- and ball-scale correction methods. Keywords: scale, generalized scale, noise, inhomogeneity correction, MRI, Image analysis, Image processing. 1 ...

Oct 29, 2015 · PDF | On Jan 1, 2006, Anant Madabhushi published Generalized scale: Theory, algorithms, and application to image inhomogeneity correction ...

A new morphometric scale model is presented that is referred to as generalized scale which combines the properties of local scale models with the global ...

Generalized scale: Theory, algorithms, and application to image inhomogeneity correction.

g-scale was shown to have interesting theoretical properties, and its superiority to an existing image background inhomogeneity correction method was ...