Computer Vision News - March 2021

17 ImageJ Trials with different thresholds If we are satisfied with the threshold, we can press on Apply and obtain a segmentation similar to the image below on the right. Original RGB image and final segmentation result The capacities of ImageJ do not end here! Through its user-friendly interface, the software can be used to apply filters, remove background, analyze distributions, apply shape transformations and much more. ImageJ in combination with other tools ImageJ also offers possibilities of integration with other programs. Worth of note are the set of wrapper functions available under the name of PyImageJ and the IJ-OpenCV library, which combines ImageJ and OpenCV for processing images in biomedicine. PyImageJ can provide a lot of flexibility merging ImageJ tools with the well-known libraries available from the Python software ecosystem, including NumPy, SciPy, scikit-image, ITK and more. You can add the library through pip or create a dedicated environment using conda: conda create -n pyimagej -c conda-forge pyimagej openjdk= 8 conda activate pyimagej