Image alignment

[Shaoqing Zhang]

Dear everyone,

Now I am doing FRET image analysis. And I am now using Matlab command

tform = cp2tform(input_points, base_points, 'lwm')

to align the CFP and YFP images.

But it is required a lot of reference points which are obtained manually and usually I have to many images to deal with. Is there a better (automated at best) way to do image registration? Thank you very much in advance.

Sincerely,

Shaoqing Zhang
University of Pennsylvania

[Colin Poczatek]

The TurboReg/StackReg plugins are very good.  We use them with our plugin.

http://bigwww.epfl.ch/thevenaz/turboreg/

Shaoqing Zhang wrote:

> Dear everyone,
>
> Now I am doing FRET image analysis. And I am now using Matlab command
>
> tform = cp2tform(input_points, base_points, 'lwm')
>
> to align the CFP and YFP images.
>
> But it is required a lot of reference points which are obtained manually and usually I have to many images to deal with. Is there a better (automated at best) way to do image registration? Thank you very much in advance.
>
> Sincerely,
>
> Shaoqing Zhang
> University of Pennsylvania
>  

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[Shaoqing Zhang]

Thanks a lot to Colin!

Our fluorescence images are usually composed of some spread spots, and local weighted mean (lwm) is the best option. And there is no this transform in TurboReg/StackReg plugins. I hope to get more help on this from everyone. Thanks.

Shaoqing

> Date: Thu, 14 May 2009 10:32:51 -0400
> From: [hidden email]
> Subject: Re: Image alignment
> To: [hidden email]
>
> The TurboReg/StackReg plugins are very good.  We use them with our plugin.
>
> http://bigwww.epfl.ch/thevenaz/turboreg/
>
> Shaoqing Zhang wrote:
> > Dear everyone,
> >
> > Now I am doing FRET image analysis. And I am now using Matlab command
> >
> > tform = cp2tform(input_points, base_points, 'lwm')
> >
> > to align the CFP and YFP images.
> >
> > But it is required a lot of reference points which are obtained manually and usually I have to many images to deal with. Is there a better (automated at best) way to do image registration? Thank you very much in advance.
> >
> > Sincerely,
> >
> > Shaoqing Zhang
> > University of Pennsylvania
> >  
>
>
>
> The information in this e-mail is intended only for the person to whom it is
> addressed. If you believe this e-mail was sent to you in error and the e-mail
> contains patient information, please contact the Partners Compliance HelpLine at
> http://www.partners.org/complianceline . If the e-mail was sent to you in error
> but does not contain patient information, please contact the sender and properly
> dispose of the e-mail.