Julia is a high-level programming language designed for high-performance numerical analysis and computational science. Distinctive aspects of Julia’s design include a type system with parametric polymorphism and types in a fully dynamic programming language and multiple dispatch as its core programming paradigm.
An introduction to scientific image processing with the Python OpenCV package. Topics include splitting and merging of color channels, morphological filters, image thresholding and segmentation.
Python, like most interpreted languages, can be very slow. But there are best practices and some programming tricks that can speed it up considerably. This can make the difference between finishing the work in an acceptable time, or being unable to finish a project.