<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Hello,<div class=""><br class=""></div><div class="">I would also add that many ITK algorithms are designed to be scalable with larger images and more CPU cores. On the other hand, OpenCV sometimes is geared toward faster execution on smaller images.</div><div class=""><br class=""></div><div class="">HTH,</div><div class="">Brad</div><div class=""><br class=""><div><blockquote type="cite" class=""><div class="">On Jan 12, 2016, at 10:28 AM, Dženan Zukić <<a href="mailto:dzenanz@gmail.com" class="">dzenanz@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div dir="ltr" class=""><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Welcome to the community Andreas,</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><br class=""></div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">ITK and OpenCV serve a different purpose. ITK is a general n-dimensional image manipulation library, including registration and segmentation. ITK is mostly geared towards 3D, but also frequently used for 2D and 4D tasks. OpenCV is geared towards computer vision, meaning 2D with a focus on efficiency at the expense of ease of use and generality. OpenCV is rich with camera modelling and associated transformations.</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><br class=""></div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">To do a performance comparison of these two libraries, you would need to find some areas where they overlap, e.g. image transformation and resamlping. Then implement such a task using both libraries, and compare quality of results and execution time. Make sure to use release builds for timing measurements.</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><br class=""></div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Regards,</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Dženan</div></div><div class="gmail_extra"><br class=""><div class="gmail_quote">On Tue, Jan 12, 2016 at 6:07 AM, Andreas Klos <span dir="ltr" class=""><<a href="mailto:aklos@outlook.de" target="_blank" class="">aklos@outlook.de</a>></span> wrote:<br class=""><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div class=""><div dir="ltr" class=""> Dear ITK-community,<br class="">Like the topic of my question might suggest, i am interested in the evaluation of the performance of the open source library ITK. I am new at the developer front, and i am not really shure how a performance test should look like. My overall goal is to compare two open source libraries. The open source libraries i am looking for are the ITK- and the OpenCV library. I know that there are serveral ways to perform a comparison. One way i would do it is to check the performance differences between them.<br class=""> <br class="">I am looking forward to here from you, <br class="">high regard Andreas<br class=""> </div></div>
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