Ten Common python Image Processing Tools

Original title: 10 python image manipulation tool.

Author | Parul Pandi

Translation | Angelo Joel, Jimmy Hua

Today, our world is full of data, and images become an important part of these data. But no matter what purpose it is used for, these images need to be processed. Image processing is the process of analyzing and processing digital images, the main purpose of which is to improve their quality or extract some information from them, and then use it for a certain purpose.

Common tasks in image processing include displaying images, basic operations such as cropping, flipping and rotating, image segmentation, classification and feature extraction, image restoration and image recognition. Python is a suitable choice for this image processing task, because it is becoming more and more popular as a scientific programming language, and many of the most advanced image processing tools are provided to everyone for free in its ecosystem.

Let's take a look at common Python libraries that can be used in image processing tasks.

1.scikit-image

Scikit-image is an open source Python package, which is suitable for numpy arrays. It implements algorithms and practical tools for research, education and industrial applications. Even for those unfamiliar with the Python ecosystem, this is a fairly simple and straightforward library. This code was written by an active volunteer community, with high quality and peer review.

resources

Rich examples and practical use cases are recorded in the document. Read the following documents:

/abidrahmank/opencv 2-Python- tutorial

use

The following is an example, which shows the function of OpenCV-Python, and creates a new fruit image fusion by pyramid method, named "Orapple".

6. simple CV

SimpleCV is also an open source framework for building computer vision applications. With it, you can access several high-performance computer vision libraries, such as OpenCV, without learning bit depth, file format, color space and so on.

Its learning curve is much smaller than OpenCV, as their slogan says, "Computer vision becomes simple". Some viewpoints supporting SimpleCV are:

Even beginners can write simple machine vision tests. Cameras, video files, images and video streams are all interoperable resources.

The official documents are very easy to understand, and there are a lot of examples and use cases to learn:

/hhatto/pgmagick

use

There are few image processing activities that can be performed with pgmagick, such as:

Image scaling

Edge extraction

10. Picaro

Pycairo is a Python bundled image processing library cairo. Cairo is a 2D graphics library for drawing vector graphics. Vector graphics are interesting because they don't lose clarity when resizing or converting. Pycairo is a set of bindings for cairo, which can be used to call cairo commands from Python.

resources

The GitHub library of Pycairo is a good resource with detailed installation and use instructions. There is also an introductory guide with a short tutorial on Pycairo.

Library: /pygobject/pycairo guide: https://pycairo.readthedocs.io/en/latest/tutorial.html usage

Draw lines, basic shapes, and radial gradients with Pycairo:

abstract

There are some useful free Python image processing libraries, some of which are well known and some may be new to you. Try to get to know them better.