Published on 23rd Feb 2024
greyscale technique
Scikit-image uses NumPy arrays as image objects by transforming the original pictures
ease of use and readability
OpenCV is written in C++ but also comes with Python wrapper and can work in tandem with NumPy, SciPy, and Matplotlib.
over 100 functionalities
Mahotas can compute 2D and 3D images through mahotas features haralick module and perform advanced image processing by extracting information from pictures
supports a wide range of dimensions
SimpleITK treats images as a set of points on a physical region in space
Vast Array of libraries
SciPy is primarily used for mathematics and scientific computations, but you can also implement algorithms for image manipulation.
Supports most image format
Pillow includes various processes in image processing such as point operations, filtering, manipulating.
Best Used in 2D visualisations
Matplotlib is effective in altering images for extracting information out of it.