OpenCV is a popular open-source library for computer vision and image processing in Python.

Scikit-Image is a Python library specifically designed for image processing tasks, providing a wide range of functions for image manipulation and analysis.

Pillow is a Python library for image manipulation and editing, offering various functions for resizing, cropping, rotating, and applying filters to images.

TensorFlow is primarily a machine learning library, widely used for building and training neural networks for various tasks, including image processing and computer vision.

OpenCV offers a comprehensive collection of algorithms for image processing and computer vision tasks, making it a versatile library for various image-related applications.

The ImageFilter module in Pillow provides a range of filters that can be applied to images for various effects, such as blurring, sharpening, and edge detection.

Scikit-Image offers a variety of image segmentation algorithms, making it a suitable choice for tasks such as object detection and region-based analysis.

The imread() function in OpenCV is used to read and load an image from a specified file path.

TensorFlow is widely used for image classification tasks, as it provides powerful tools for building and training deep learning models for image recognition and classification.

The imshow() function in OpenCV is used to display an image on a window for visualization purposes.

OpenCV provides a range of object detection algorithms, making it a popular choice for tasks such as face detection, pedestrian detection, and object tracking.

The imwrite() function in OpenCV is used to write and save an image to a specified file path.

Scikit-Image offers a variety of image enhancement algorithms, such as histogram equalization, contrast adjustment, and noise reduction.

The Canny() function in OpenCV is used for edge detection in images, identifying and highlighting the boundaries of objects.

OpenCV provides algorithms for image stitching, which is the process of combining multiple images into a single panoramic image.