Python Image Processing Toolbox: Essential Libraries and Packages

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Image processing in Python is a vast and diverse field that involves manipulating and analyzing images using various techniques and libraries. Here’s an overview of the key aspects of image processing in Python:

1. Libraries:

a. OpenCV (Open Source Computer Vision):

• OpenCV is one of the most widely used open-source libraries for computer vision and image processing tasks.
• It provides functions for image manipulation, feature extraction, object detection, and more.
• Supports various image file formats and video processing.

b. PIL/Pillow (Python Imaging Library):

• PIL, now maintained as Pillow, is another popular library for working with images in Python.
• Offers basic image processing operations, including opening, manipulating, and saving images.

c. Scikit-image:

• scikit-image is a collection of algorithms for image processing in the scikit-learn library ecosystem.
• Includes tools for filtering, segmentation, morphological operations, and more.

d. Mahotas: