Data scientists are working on the pre-process of images before installing into machine learning and artificial intelligence models. They need to use image processing tools for multiple machine learning as well as deep learning tasks. Meanwhile, Python is a very popular and trending programming language with a wide variety of Python libraries. Thus, it is essential to use Python libraries for image processing in completing all machine learning tasks. Let's explore some of the top ten image processing Python libraries to use in 2022 efficiently and effectively.
Scikit-Image is one of the top open-source image processing Python libraries for being a collection of algorithms for image processing. It is free of restriction with high-quality and consists of peer-reviewed code. It covers algorithms for segmentation, geometric transformations, analysis, feature detection, and many more. It is popular for working with NumPy arrays as image objects.
SciPy is a well-known Python library for image processing and is also known as scipy.ndimage. It offers a wide range of general image processing and analysis functions designed to operate with multiple arrays of arbitrary dimensionality. There are multiple functions sharing common properties with a more efficient output argument. Ndimage is a short term for n-dimensional image with common tasks like basic manipulations, image filtering, classifications, opening and writing to image files, and many more.
Mahotas is a popular computer vision and image processing Python library with multiple algorithms implemented in C++ for efficient speed. This image processing tool is known for operating in Numpy arrays with a clean Python interface. It consists of more than 100 functions for image processing like a watershed, hit and miss, convolution, morphological processing, and many more.
Pillow is one of the well-known Python libraries for image processing and is popular for image archival and batch processing applications. It helps to add image processing functionalities to the Python interpreters while offering extensive file format support and an efficient internal representation. This image processing tool is designed for faster access to data stored in a basic pixel format. One can create thumbnails, convert between file formats, print images, and many more.
OpenCV is one of the popular image processing tools for computer vision and image processing tasks for multiple different applications. It is an open-source Python library to process images and videos for face recognition, object identification, as well as human handwriting. It consists of multiple numerical operations with a combination of Numpy. The image processing library helps to convert images into multi-dimensional arrays to simplify manipulation.
SimpleITK is one of the best open-source and cross-platform systems for being an image processing Python library. It is known for supporting 2D and 3D images with a selected set of Pixel types for those. There is a registration framework for fast alignment of 2D and 3D intra and inter-modality images with an abundance of filters for image segmentation workflows. There is a wide range of tools for evaluating segmentation results for supporting 20 image file formats with easy conversion between formats.
Matplotlib is very helpful for being an image module to work with images in Python. It also includes two useful methods that are used to read images as well as to display the image. It is specialized in 2D plots of arrays as a multi-platform data visualization library on Numpy arrays.
NumPy is a popular image processing Python library with ndarray to set and modify pixel values, trim images, concatenate images, and many more. One can complete multiple image processing without using other Python libraries. It helps in colour reduction, binarization, paste with slice, positive or negative inversion, and many more functionalities for efficient reading and saving images.
SimpleCV is a well-known open-source framework for creating computer vision applications with image processing. It is an interface for open-source machine vision libraries in Python with a readable interface for cameras, image manipulation, format conversion, feature extraction, and many more. It helps in making computer vision tasks very easy and simple over-complex code.
Pgmagick is one of the top Python libraries for image processing for the GraphicMagick library. It is also known as the Swiss Army Knife of image processing in the community of programming languages. The image processing tool consists of a set of tools and libraries to provide assistance in image editing as well as image manipulation.
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