<br>What is the optimal way to handle RGB images for registration? I need to read more of the software guide for a better understanding, but I have some time pressure and any advice from the list would be really useful right now.<br>
<br>"If you decide to interpret RGB images as simply three independent channels then you should<br>rather use the itk::Vector type as pixel type. In this way, you will have access to the set of<br>operations that are defined in Vector spaces. The current implementation of the RGBPixel in<br>
ITK presumes that RGB color images are intended to be used in applications where a formal<br>interpretation of color is desired, therefore only the operations that are valid in a color space are<br>available in the RGBPixel class." (ITK Software Guide, p. 44.)<br>
<br>Should we use itk::Vector as the pixel type for image registration of RGB images? Is the alternative to split each RGB channel and use a registration for each channel, then somehow "average" the registration transformations or select the transform with the best metric outcome?<br>
<br>I have a stack of 2D microscopy images. Each image is a 2D TIFF with RGB pixels (ImageJ indicates the data is 32 bits/pix, so it's probably 4 x 8 bit RGBA, but the A-alpha channel is a waste of space in this data). For example,<br>
<a href="ftp://ftp.buckinstitute.org/dweber/section_0445_w1.tif">ftp://ftp.buckinstitute.org/dweber/section_0445_w1.tif</a><br><a href="ftp://ftp.buckinstitute.org/dweber/section_0446_w1.tif">ftp://ftp.buckinstitute.org/dweber/section_0446_w1.tif</a><br>
<br>I general, the registation should use an affine transformation, maybe a multi-resolution process.<br><br>BTW, using the example code for ImageRegistration1.cxx, I get the following warnings from the image reader:<br>TIFFReadDirectory: Warning, worm1_autoalign_tifResCorrect/section_0447_w1.tif: wrong data type 7 for "RichTIFFIPTC"; tag ignored.<br>
TIFFReadDirectory: Warning, worm1_autoalign_tifResCorrect/section_0447_w1.tif: unknown field with tag 34665 (0x8769) encountered.<br><br>TIA,<br>Darren<br><br>