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Common image processing tasks include display 、 tailoring 、 Flip 、 rotate 、 Image segmentation 、 Feature extraction, etc ,Python It is an excellent choice for these image processing tasks , recently , Palo · Pandi （Parul Pandey ） Tidy up 10 The most commonly used Python library , For image processing tasks . These libraries provide a simple and intuitive way to transform images and understand underlying data .
This is a relationship with NumPy Array used together with open source Python package . It is implemented for research , Algorithms and utilities for education and industry applications . It is a fairly simple and direct Library , And the code quality is high .
It is Python One of the core libraries in programming , And provide support for arrays . An image is essentially a standard that contains pixels of data points NumPy Array . therefore , By using the basic NumPy operation , You can modify the pixel value of the image .
It can be used for basic image manipulation and processing tasks , Especially sub modules scipy.ndimage（ stay SciPy v1.1.0 in ） Provided in n dimension NumPy Functions running on the array . The software package currently includes linear and nonlinear filtering , Binary form ,B Functions such as spline interpolation and object measurement .
PIL（Python Imaging Library） It's a free Python Programming language library , It adds to the opening , Support for manipulating and saving many different image formats . however ,PIL The last version of was published in 2009 year , Then the update stopped . and Pillow It is an actively developed PIL Branch , It is easier to install , Can run on all mainstream operating systems , And support Python 3. The library contains basic image processing functions , Including point operations , Use a set of built-in convolution kernels for filtering and color space conversion .
this （Open Source Computer Vision Library） It is one of the most widely used libraries in computer vision applications . It's fast , It is also easy to code and deploy , This makes it an excellent choice for executing compute intensive computer vision programs .
It provides access to several high-performance computer vision libraries , But there is no need to know bit depth , File format , Color space, etc . Its learning curve is much smaller than OpenCV,
It contains traditional image processing functions , And more modern computer vision functions for feature computing , Including point of interest detection and local descriptor . Use Python Writing interface , For rapid development ,Mahotas Library runs fast , The code is simple , Little dependence .
This is a base ITK（Insight Segmentation and Registration Toolkit） Build a simplified layer , It aims to promote its application in rapid prototyping , Application of transaction and interpretation language . It is also an image analysis toolkit , With a large number of components , Support general filtering operations , Image segmentation and registration .
This is based on Python Of GraphicsMagick The wrapper for the library .GraphicsMagick Image processing system , Sometimes called Swiss Army knife for image processing . Its powerful and efficient collection of tools and libraries supports more than 88 Read on three main formats , Write and manipulate images .
It is Cairo A group of graphic libraries Python binding .Cairo Is a tool for drawing vector graphics 2D Graphics library . Vector graphics do not lose clarity when resizing or transforming .Pycairo It can be downloaded from Python call Cairo command .
Link to the original text ：https://opensource.com/article/19/3/python-image-manipulation-tools
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