Software Alternatives & Reviews

Python: The Best Image Processing Libraries

Scikit Image NumPy Matplotlib
  1. scikit-image is a collection of algorithms for image processing.
    Pricing:
    • Open Source
    Scikit-image The Scikit-image library is a collection of image processing algorithms that are designed to be easy to use and understand. It includes algorithms for common tasks like edge detection, feature extraction, and image restoration. If you are just starting out in image processing, then this is a good library to check out!

    #Image Analysis #OCR #Data Science And Machine Learning 7 social mentions

  2. 2
    NumPy is the fundamental package for scientific computing with Python
    Pricing:
    • Open Source
    Numpy While not exactly an image processing library, numpy is one of the most important libraries for scientific computing in Python today. It provides powerful tools like linear algebra and Fourier transforms that make it easier to work with images. If you are doing serious mathematics or data analysis with your images, then this is probably the library you want to use.

    #Data Science And Machine Learning #Data Science Tools #Python Tools 107 social mentions

  3. matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
    Pricing:
    • Open Source
    Matplotlib The matplotlib library is a plotting library for Python. It can be used to generate plots in either the "matlab" style or the more traditional gnuplot-style, depending on your preference. Best of all, it's actually built into numpy; simply use np.imshow() and youj'll be on your way!

    #Development #Data Visualization #Technical Computing 98 social mentions

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