Without knowing the exact image resolution/size, I would expect difficulties with the hessian at least: on a hessian image each pixel is a 3x3 double matrix... just multiply...and add intermediate images inbetween the pipeline, other procesess..<div>
<br></div><div>You may certainly experiment some memory problems. Check this thread for tips related to memory and speed optimizations within ITK: <a href="http://old.nabble.com/Guidelines-for-speed-and-memory-footprint-optimization-td30178329.html">http://old.nabble.com/Guidelines-for-speed-and-memory-footprint-optimization-td30178329.html</a></div>
<div><div><br><br><div class="gmail_quote">On Thu, Nov 25, 2010 at 5:54 PM, Arunachalam Kana <span dir="ltr"><<a href="mailto:Kana.Arunachalam@fh-wels.at" target="_blank">Kana.Arunachalam@fh-wels.at</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div lang="DE-AT" link="blue" vlink="purple"><div><p>Hi ITK Users,</p><p> </p><p><span lang="EN-GB">Situation: I have 32Gb unsigned short image and I use a 64bit machine, with linux, and my RAM size is 64Gb. I would like to apply the following itk algorithm:</span></p>
<p><span lang="EN-GB">Step1: Original image -> Anisotropic diffusion image filter -> smoothed image</span></p><p><span lang="EN-GB"> </span></p><p><span lang="EN-GB">Step 2: Own filter: I calculate the hessian for the input image. I use the hessian image and the input image to segment and produce an output image.</span></p>
<p><span lang="EN-GB"> Smoothed image -> hessianrecurssivegaussianimagefilter-> smoothed image + hessian image ->segmentation function -> segmented image</span></p><p><span lang="EN-GB"> </span></p><p><span lang="EN-GB">Step 3: Segmented image -> 3dbinarythinning -> thinned image.</span></p>
<p><span lang="EN-GB"> </span></p><p><span lang="EN-GB">After every step the output image will be save to local hard disk.</span></p><p><span lang="EN-GB"> </span></p><p><span lang="EN-GB">Questions:</span></p><p style="margin-left:18.0pt">
<span lang="EN-GB"><span>1.<span style="font:7.0pt "Times New Roman""> </span></span></span><span lang="EN-GB">Will there be any memory problem in application of anisotropic diffusion filter, hessian filter and 3dbinarythinning? </span></p>
<p style="margin-left:18.0pt"><span lang="EN-GB"><span>2.<span style="font:7.0pt "Times New Roman""> </span></span></span><span lang="EN-GB">If the answer is yes to the above question. How can i solve it? </span></p>
<p><span lang="EN-GB">Thank you,</span></p><p><span lang="EN-GB">Regards,</span></p><p style="margin:0cm;margin-bottom:.0001pt">Kana Arunachalam Kannappan</p><p style="margin:0cm;margin-bottom:.0001pt">Research Associate</p>
<p style="margin:0cm;margin-bottom:.0001pt">FH OÖ Forschungs & Entwicklungs GmbH</p><p style="margin:0cm;margin-bottom:.0001pt">Stelzhamer Strasse 23,</p><p style="margin:0cm;margin-bottom:.0001pt">4600 Wels,</p><p style="margin:0cm;margin-bottom:.0001pt">
Austria.</p><p style="margin:0cm;margin-bottom:.0001pt">Phone: +43 (0)7242 72811 -4420</p><p style="margin:0cm;margin-bottom:.0001pt"><a href="mailto:kana.arunachalam@fh-wels.at" target="_blank">kana.arunachalam@fh-wels.at</a></p>
<p style="margin:0cm;margin-bottom:.0001pt"><a href="http://www.fh-ooe.at" target="_blank">www.fh-ooe.at</a>; <a href="http://www.3dct.at" target="_blank">www.3dct.at</a></p><p> </p></div></div><br>_____________________________________<br>
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