3d models from 2d image slices

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OpenCV is mainly targeted at image and video processing with an emphasis on processing pixels.
It can be very useful for analyzing your slices, e.g. for segmentation, contours, enhancement etc. You can also measure pixel counts in each slice with when summed up will give you the volume. Once you have your segmentation, the pixel positions + the slice number is a 3D model.

Hi, As previously answered, OpenCV is more targeted to 2D(+t) image processing. If you need 3D reconstruction, you can check the efficient PointCloudLibrary (http://www.pointclouds.org/).

I used it to display 2D OpenCV images "slice" with the third dimension related to time. It is really easy to make the link between the two libs.

Once transfered your 2D slices to PCL, there are many state of the art methods to segment 3D objects, extract 3D envelops, etc.

Check my question/autoanswer that shows a basic OpenCV cv::Mat transfer to PCL. http://answers.opencv.org/question/3098/display-in-3d-at-set-of-binary-labelled-cvmat/

3D rendering is really impressive, that great even for demos.

Regarding 3D object segmentation, here is a link to related PCL doc :

http://docs.pointclouds.org/trunk/group__segmentation.html

Good luck !