[Insight-developers] Statistics: Mean shift mode estimator

Miller, James V (Research) millerjv at crd . ge . com
Fri, 13 Jun 2003 08:56:14 -0400


You go Jisung!

A couple of things to think about:

1) Mean shift could be applied to histograms to identify the modes or
classes
2) Mean shift can be applied to scattered "points" in a high dimensional
space
3) Mean shift can be applied to filter (smooth) an image
4) Mean shift can be used for image segmentation
5) Mean shift can be used for "tracking" an object from slice to slice or
frame to frame.  It has been used a lot for people trackers.  But could also
be applied to vascular tracking, etc.

#1 and #2 are general statistical approaches that can be used by many
applications.  The rest are applications of mean shift that may use the
techniques developed in #1 and #2.

When applied to very high dimensional spaces (say 50), it sounds like people
stray from k-d trees and use "locality sensity hashing".

Jim


-----Original Message-----
From: Jisung Kim [mailto:bahrahm at yahoo . com]
Sent: Thursday, June 12, 2003 4:25 PM
To: Miller, James V (Research); Insight-developers (E-mail)
Subject: Re: [Insight-developers] Statistics: Mean shift mode estimator


Hi. I read the paper. The filtering and segmentation
methods seem to be a good example of kernel density
techniques. My k-d tree implementation probably
accelerate the mean shift vector calculation part
(range search). Even the non-terminal nodes of the k-d
tree store the vector sum and the number of
measurement vectors below each node. If nobody wants
to pursuit these methods, I want to try.


--- "Miller, James V (Research)" <millerjv at crd . ge . com>
wrote:
> Does anyone have plans to add a "mean shift" mode
> estimator to ITK?
>  
> http://www . computer . org/tpami/tp1995/i0790abs . htm
> <http://www . computer . org/tpami/tp1995/i0790abs . htm> 
>  
>
http://www . caip . rutgers . edu/~comanici/Papers/MsAnalysis . pdf
>
<http://www . caip . rutgers . edu/~comanici/Papers/MsAnalysis . pdf>
> 
>  
>  
>  
> 
> Jim Miller 
> _____________________________________
> Visualization & Computer Vision
> GE Research
> Bldg. KW, Room C218B
> P.O. Box 8, Schenectady NY 12301
> 
> millerjv at research . ge . com
> <mailto:millerjv at research . ge . com> 
> 
> james . miller at research . ge . com
> (518) 387-4005, Dial Comm: 8*833-4005, 
> Cell: (518) 505-7065, Fax: (518) 387-6981 
> 
>  
> 


=====
Jisung Kim
bahrahm at yahoo . com
106 Mason Farm Rd.
129 Radiology Research Lab., CB# 7515
Univ. of North Carolina at Chapel Hill
Chapel Hill, NC 27599-7515

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