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   -> Volume 5, Issue 2


Preprint: Wavelet Based Feature Driven Identification and
 
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Raghu Machiraju (raghu@cis.ohio-state.edu)
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PostPosted: Wed Dec 04, 2002 9:49 am    
Subject: Preprint: Wavelet Based Feature Driven Identification and
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Preprint: Wavelet Based Feature Driven Identification and

Enhancement of Medical Images

A preprint with the following title

Wavelet Based Feature Driven Identification and Enhancement of
Medical Images

is available for your perusal. If interested please contact Prof. Roni
Yagel at yagel@cis.ohio-state.edu. The abstract is placed below for
those interested.

Raghu

Abstract: Much information in an image is concentrated in a few
regions. These are dominated by feature characterized by
discontinuities in color intensity. In this paper, we present a wave
let based image analysis algorithm that identifies features that
persist across the scales of the wavelet decomposition. This is
achieved through the notion of sub-band combining which we introduce
here. We first decompose the image into scales using the wavelet
transform. Then, for each pixel, the combining process computes a
function that collects all the information available at the sub-band
(detail) scales. The result is a mask image indicating the
significance of every point. Additional processing and image
enhancement can now concentrate their efforts in regions where the
mask show high values. Medical images, which are bandlimited and
contain no illumination artifacts, are especially suited to take
advantage of sub-band combining. We show how our method can be
employed to remove noise, enhance, and smooth features in images from
MRI and mammography. Also, we allude to the use of this method to
compression, image metrics, and volume rendering.
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