[Insight-developers] Statistics: Mean shift mode estimator

[Jisung Kim]

Sounds good to me.

--- "Miller, James V (Research)" <millerjv at crd . ge . com>
wrote:
> Jisung, 
> 
> I would suggest doing a mean shift from a histogram
> as well.
> 
> Jim
> 
> -----Original Message-----
> From: Jisung Kim [mailto:bahrahm at yahoo . com]
> Sent: Friday, June 13, 2003 9:31 AM
> To: Miller, James V (Research); Insight-developers
> (E-mail)
> Subject: RE: [Insight-developers] Statistics: Mean
> shift mode estimator
> 
> 
> Thanks Jim.
> 
> I would first try implement the mean shift mode
> seeking technique using k-d tree. And then I would
> implement a smoothing filter and a segmentation
> method
> using the mode seeking technique previously
> implemented.
> 
> And then I might extend the mode seeking technique
> with other range search techniques. 
> 
> Does it sound OK?
> 
> --- "Miller, James V (Research)"
> <millerjv at crd . ge . com>
> wrote:
> > 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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> >
>
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> 
> 
> =====
> 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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=====
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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