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I have a series of images. I want to be able to draw a curve on the image and track the curve in the series. For example, in the figure below, the left image illustrates the original image at time 0 and the one on the right is the curve I want to track in the next images in later times $t>0$. In fact, the edges that are marked as red change with time. In other words, the region, whose a portion of its boundary is shown in the figure, gets enlarged and shrunken in the subsequent images and I want to be able to track this.

Could someone kindly introduce me to one of the methods that is used to track a predefined curves according to the movement of the boundary which is the closest to it?

enter image description here

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From my experience, I have successfully utilized Leo Grady's Random Walks method for this. The code is also available here. It works very well and can easily be made to run in real-time depending on the contour and image size. You could watch the video from my implementation here. Note that though, it might perfom differently than the original.

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  • $\begingroup$ So, you start off with drawing a curve and then the method takes care of tracking it in other images? $\endgroup$ Commented Dec 4, 2014 at 22:02
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    $\begingroup$ That's right. Two curves actually. One for the pixels outside the region, one for the inside. The rest is taken care of. It is a binary labeling and thus the problem is binary segmentation. However, this is a tracking method, which will let you to follow it through the sequence. $\endgroup$ Commented Dec 4, 2014 at 22:03
  • $\begingroup$ Fantastic. This is what I am looking for. The video link you provided is very helpful. What function in the toolbox should be called for this task? $\endgroup$ Commented Dec 4, 2014 at 22:05
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    $\begingroup$ Well a series of functions but yes the toolbox would greatly assist you. $\endgroup$ Commented Dec 4, 2014 at 22:11
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    $\begingroup$ It is in the toolbox you download already. $\endgroup$ Commented Dec 4, 2014 at 22:12

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