Local scales in oscillatory patterns and boundaries of objects<br/><br/>

Monday, October 5, 2009 - 9:00am - 9:45am
Lind 305
Triet Le (Yale University)
In this talk, we study the problem of extracting local
scales of oscillatory patterns in images and on plane curves. In the
first case, Given a multi-scale representation {u(t)} of an image f,
we are
interested in automatically picking out a few choices of t_i(x), which
we call local scales, that better represent the multi-scale structure
of f at x. We will characterize local scales coming from the Gaussian
kernel. In the second case, we propose an approach to extracting
local scales on curves to segment objects with irregular boundaries.
Theory and experimental results will be presented with applications to
image decomposition/denoising.
MSC Code: