{"id":51,"date":"2020-12-10T20:52:49","date_gmt":"2020-12-10T15:22:49","guid":{"rendered":"https:\/\/data-flair.training\/news\/?p=51"},"modified":"2020-12-10T20:52:49","modified_gmt":"2020-12-10T15:22:49","slug":"python-image-processing-libraries","status":"publish","type":"post","link":"https:\/\/data-flair.training\/news\/python-image-processing-libraries\/","title":{"rendered":"Top 7 Image Processing Libraries of Python that will Dominate in 2021"},"content":{"rendered":"

Ever thought which Image Processing Libraries of Python will Dominate in 2021?<\/strong><\/p>\n

Images play a significant role in providing crucial information. For business, images and videos act as an important source of data. <\/span><\/p>\n

This is the reason, it is essential for businesses to translate and process images effectively & obtain valuable insights. <\/span><\/p>\n

To feed images as an input to various deep learning and machine learning models, it is vital to pre-process the images.<\/span><\/p>\n

So, here\u2019s presenting the top 7 image processing libraries of Python that will make your career shine like stars.<\/span><\/p>\n

Python Image Processing Libraries that will trend in 2021<\/h2>\n

1. Matplotlib<\/h3>\n

Primarily, Matplotlib is used for the purpose of 2D visualizations, but it can also be used for image processing. <\/span><\/p>\n

While, Matplotlib is not supportive of all the file formats, but is the most effective in altering images for extracting information out of it.<\/span><\/p>\n

2. SciPy<\/h3>\n

The primary use of SciPy includes mathematics and scientific computations, but it can also be used to perform basic image manipulation and processing tasks. <\/span><\/p>\n

To execute this, you need to implement algorithms by importing the scipy.ndimage module. <\/span><\/p>\n

You can carry out linear and non-linear filtering, object measurements, and binary morphology. <\/span><\/p>\n

Along with this, one can adjust interpolation, effects, filter, draw contour lines, and other similar extraction & segmentation on images.<\/span><\/p>\n

3. OpenCV<\/h3>\n

OpenCV is one of the most widely used libraries focused on image processing, face detection, object detection, and many more. <\/span><\/p>\n

It is written in C++ and easy to use and read. It is supported by more than one thousand contributors on GitHub, working towards enhancing the library for effortless image processing. <\/span><\/p>\n

OpenCV consists of more than 2500 algorithms and is used to build computer vision and machine learning applications. <\/span><\/p>\n

Such algorithms are used to perform various tasks such as identification of objects, face recognition & detection, etc.<\/span><\/p>\n

4. Scikit- Image<\/b><\/h3>\n

Scikit-Image is one of the most simple and straightforward libraries and can be used even by those having less or zero knowledge of the Python ecosystem. <\/span><\/p>\n

By transforming the original pictures, it uses NumPy arrays as image objects. <\/span><\/p>\n

Such ndarrays can either be integers or floats. As NumPy is built in C programming, it is a very fast & effective library for image processing. <\/span><\/p>\n

It implements algorithms and utilities that are for use in education, research and industry-based applications.\u00a0<\/span><\/p>\n

5. SimpleITK<\/h3>\n

While other libraries that treat images as arrays, SimpleITK considers images as sets of points on a physical region in space. <\/span><\/p>\n

The region occupied by images is defined as origin, spacing size, and cosine matrix. <\/span><\/p>\n

SimpleITK allows users to effectively process images and supports a wide range of dimensions including 2D, 3D, and 4D.<\/span><\/p>\n

6. Pillow<\/h3>\n

Various functionalities, which are generally not provided by other libraries, such as opening, filtering, manipulating, and saving images are supported by Pillow. <\/span><\/p>\n

It is an open-source library and is an advanced version of PIL, which is supported by Tidelift. <\/span><\/p>\n

Wide range of image formats are also supported by Pillow, thus making it the most efficient and must-have library for handling images.<\/span><\/p>\n

7. Mahotas<\/h3>\n

Mahotas is a computer vision and image processing library that has numerous functionalities & capabilities to carry out processes like morphological processing, watershed, thresholding, convolution & much more. <\/span><\/p>\n

It executes the task of image processing faster and consists of various algorithms built using C++. <\/span><\/p>\n

Haralick, local binary patterns are some of its advanced features which a developer can use and perform advanced image processing by extracting information from pictures.<\/span><\/p>\n

Summary<\/h2>\n

So we have discussed some of the top Python image processing libraries that will be in trend in 2021. <\/span><\/p>\n

Image processing libraries are significantly used by companies all over the world due to the advantages that it offers. <\/span><\/p>\n

Before using any of the libraries, it is important that you identify your needs and then choose the best-fit image processing library.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Ever thought which Image Processing Libraries of Python will Dominate in 2021? Images play a significant role in providing crucial information. For business, images and videos act as an important source of data. This...<\/p>\n","protected":false},"author":6722,"featured_media":60,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[104],"tags":[109,108],"class_list":["post-51","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-image-processing-libraries-of-python","tag-python-image-processing-libraries"],"yoast_head":"\nTop 7 Image Processing Libraries of Python that will Dominate in 2021 - DataFlair<\/title>\n<meta name=\"description\" content=\"Check the top 7 Image Processing Libraries of Python that will dominate in 2021. 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