Computer Vision News - May 2016

Tool The above command will invoke a built-in GUI inside the browser (no annoying popups). This interface has some very useful features: (1) built-in 3D support, which gives you control to navigate through the axial slices, (2) examine the pixel values and (3) point selection with the correct orientation right inside the iPython notebook. In the example above we selected three points, marked with yellow cross 0, 1 and 2, inside the lung region. To get the points, values and coordinates use the following command: COMPUTER VISION NEWS 13 In the code below we read the CT data file and rescale the intensities for improved visualization. Now we will prepare the input for the region-growing by defining the pre- selected seed points. SimpleITK has a built-in framework for such a task, with smooth interaction for 3D data. Thus, the seed-points selection step performs quite smoothly in the browser itself (no external GUI is required). All you have to do is to invoke the following command by: