Computer Vision News - March 2021

18 Computer Vision Tool Below there is an example of code which deals with loading images from ImageJ scripting interface or the scikit-image library, displaying them and applying some filters through PyImageJ, conversion to NumPy library and use of NumPy operations. # Start ImageJ with Fiji plugins ij = imagej.init('sc.fiji:fiji:2.0.0-pre-10') # Import a blood vessel image with scikit-image. url = 'https://www.fi.edu/sites/fi.live.franklinds.webair.com/files/styles/featured _large/public/General_EduRes_Heart_BloodVessels_0.jpg' img = io.imread(url) img = np.mean(img, axis= 2 ) # Show image through ImageJ ij.py.show(img) # Use ImageJ to run a feature enhancement algorithm to highlight vessels in image result = np.zeros(img.shape) sigma1 = 8 sigma2 = 2 ij.op ().filter().dog( ij.py.to_java(result), ij.py.to_java(img), sigma1, sigma2) ij.py.show(result, cmap = 'PRGn') "It can be included in complex computer vision and machine learning pipelines, making it a uniquely versatile program."