Top Python Libraries For Image Processing In 2021

1

OpenCV

To build computer vision and machine learning models, OpenCV has more than 2500+ algorithms. These algorithms are very much useful to perform various tasks such as face recognition, object detection, and many more. Let’s see some examples where we can perform using OpenCV:

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2

Scikit Image

Scikit-Image Scikit-Image is another great open-source image processing library. It is useful in almost any computer vision task. It is among one of the most simple and straightforward libraries. Some parts of this library are written in Cython ( It is a superset of python programming language designed to make python faster as C language). It provides a large number of algorithms which include segmentation, color space manipulation, geometric transformation, filtering, morphology, feature detection, and many more.

#Image Analysis #OCR #Data Science And Machine Learning 6 social mentions

3

SciPy

SciPy is primarily used for mathematical and scientific computations, but sometimes it can also be used for basic image manipulation and processing tasks using the submodule scipy.ndimage.At the end of the day, images are just multidimensional arrays, SciPy provides a set of functions that are used to operate n-dimensional Numpy operations. SciPy provides some basic image processing operations such as Face Detection, Convolution, Image Segmentation, Reading Images, Feature Extraction, and many more. Along with this, you also perform filtering, draw contour lines on images.

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4

python pillow

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5

Matplotlib

Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.

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6

ITK

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7

NumPy

Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.

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Mahotas It is another open-source python library for computer vision and image processing. It was designed for biometric informatics. It provides many algorithms which are written in C++ for speed with a good python interface. It read and writes images in NumPy arrays.

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