open source image processing library for the Python programming language
Factsheet
scikit-image
Original author Stéfan van der Walt
Initial release August 2009; 16 years ago (2009-08)
scikit-image
Original author Stéfan van der Walt
Initial release August 2009; 16 years ago (2009-08)
scikit-image
scikit-image.org
scikit-image: Image processing in Python — scikit-image
scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. The scikit-image team is hard at work at bringing you scikit-image v2, ...
GeeksforGeeks
geeksforgeeks.org › python › image-processing-in-python
Image Processing in Python - GeeksforGeeks
July 11, 2025 - OpenCV (Open Source Computer Vision) is one of the most popular libraries for image processing in Python offering extensive functionalities for handling images and videos In this article we will look into some of the image processing methods.
image processing/analysis in Python
I'm not an expert here. I'm actually commenting because I'm also interested. However you can copy paste your whole question into chatGPT and have an answer in less than 5 seconds. More on reddit.com
7
2
May 14, 2023opencv - Image Processing in Python to Determine Structure Area - Stack Overflow
I'm working on a Python project where I need to determine the area of a structure from given images. Here's what I've done so far: Read the image. Convert the image to grayscale. Binarize the gray... More on stackoverflow.com
Best place/book to learn image processing concepts?
Back in 2002, I took a graduate image processing course. The class text was Fundamentals-Digital Image Processing by Anil K. Jain. http://www.amazon.com/Fundamentals-Digital-Image-Processing-Anil/dp/0133361659 Looks like my old university is still using it as the required text. I also purchased Rafael C. Gonzalez and Richard E. Woods Digital Image Processing. http://www.amazon.com/Digital-Image-Processing-Rafael-Gonzalez/dp/013168728X/ http://www.imageprocessingplace.com/ While taking the course, I primarily used the instructor's hand written notes and Jain's book. The Gonzalez book came in handy as a secondary reference. On of my early managers had Gonzalez as his thesis advisor. I'm surprised how much these books have gone up. I paid 60.74 euros for Jain's book. More on reddit.com
8
7
July 16, 2014Image processing books (Advanced/Expert)
Congratulations and well done! I'd look at both image processing and software engineering books in equal measure, you need both skills. CV books I think you should own: Image Processing - Gonzalez & Woods Computer Vision - Forsyth & Ponce Multi view geometry - Hartley & Zisserman For software dev I'd always have a copy of Design Patterns on the shelf,an Introduction to Algorithms and also something like Clean Code. There are so many good books out there I'm looking forward to hearing other recommendations. More on reddit.com
15
14
March 2, 2021What Python library is used for image processing in this course?
You will use scikit-image throughout the course, along with NumPy for working with image arrays and pixel data.
datacamp.com
datacamp.com › home › python
Image Processing in Python Course | DataCamp
What prior Python knowledge do I need?
This is an intermediate course. You should know Python functions, iterators, and basic Python, as the exercises involve writing custom image processing workflows.
datacamp.com
datacamp.com › home › python
Image Processing in Python Course | DataCamp
What careers use image processing skills?
Image processing is used in medical image analysis, robotic vision, retail product recognition, space imaging, and as a foundation for machine learning on visual data.
datacamp.com
datacamp.com › home › python
Image Processing in Python Course | DataCamp
Videos
Image Processing with OpenCV and Python - YouTube
08:30
Image Processing in Python for Machine Learning (5.1) - YouTube
37:25
20 - Introduction to image processing using scikit-image in Python ...
14:15:52
OpenCV Python Course for Beginners | Image Processing Using Python ...
46:01
Image Processing Tutorial Using Python | Python OpenCV Tutorial ...
How to Use Python for Image Analysis with OpenCV
YouTube
youtube.com › playlist
Image processing with python
AboutPressCopyrightContact usCreatorsAdvertiseDevelopersTermsPrivacyPolicy & SafetyHow YouTube worksTest new featuresNFL Sunday Ticket · © 2026 Google LLC · Image processing with python - YouTube
Reddit
reddit.com › r/python › image processing/analysis in python
r/Python on Reddit: image processing/analysis in Python
May 14, 2023 -
How do I learn image processing/analysis in Python?
How do I even begin to learn image processing/analysis in Python? What math do I need to pick-up and what popular exercises should I do first before tackling something like this?
(Also, in the future of this research I might need to do video analysis, how do you suggest I approach that?)
Top answer 1 of 5
5
I'm not an expert here. I'm actually commenting because I'm also interested. However you can copy paste your whole question into chatGPT and have an answer in less than 5 seconds.
2 of 5
2
There are a lot of great resources out there! I recommend starting with some basic tutorials on OpenCV in Python and working your way up from there. As for the math, understanding linear algebra and calculus will definitely help, but you don't need to be an expert in either to get started. As for video analysis, I suggest looking into the concept of optical flow and exploring libraries like PyAV or OpenCV's video processing capabilities. Good luck with your research!
Guiwitz
guiwitz.github.io › PyImageCourse_beginner › README.html
Image processing for beginners — Image processing with Python for beginners
This repository contains a set of Jupyter notebooks to learn how to do basic image processing using Python and the scientific packages Numpy, scikit-image, Matplotlib and Pandas. The material assumes no pre-existing knowledge in programming but some familiarity with concepts of image processing.
DataCamp
datacamp.com › home › python
Image Processing in Python Course | DataCamp
With just a few lines of code, you will convert RGB images to grayscale, get data from them, obtain histograms containing very useful information, and separate objects from the background! ... You will learn to detect object shapes using edge detection filters, improve medical images with contrast enhancement and even enlarge pictures to five times its original size! You will also apply morphology to make thresholding more accurate when segmenting images and go to the next level of processing images with Python.
Published 1 month ago
DataCamp
datacamp.com › tracks › image-processing
Image Processing in Python | DataCamp
Yes, this track is designed for beginners looking to gain expertise in image processing. The courses in the track start with fundamental concepts and progress in complexity step by step. This track features courses in Python.
Stack Overflow
stackoverflow.com › questions › 76921516 › image-processing-in-python-to-determine-structure-area
opencv - Image Processing in Python to Determine Structure Area - Stack Overflow
I'm working on a Python project where I need to determine the area of a structure from given images. Here's what I've done so far: Read the image. Convert the image to grayscale. Binarize the gray...
Medium
medium.com › @nimritakoul01 › image-processing-using-opencv-python-9c9b83f4b1ca
Image Processing using OpenCV — Python | by Dr. Nimrita Koul | Medium
December 20, 2023 - The library has more than 2500 optimized algorithms, which can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. ... Use Python 3.* for this notebook.
Built In
builtin.com › software-engineering-perspectives › image-processing-python
Python Image Processing: A Tutorial | Built In
Image processing in Python involves programmatically modifying image files (e.g., JPG, PNG, TIFF) using libraries like OpenCV to perform tasks such as color conversion, blurring and edge detection.
Medium
medium.com › @bilalrizvi96 › mastering-image-processing-with-python-a-comprehensive-guide-8453b24cac75
Mastering Image Processing with Python: A Comprehensive Guide | by Bilalrizvi | Medium
April 7, 2023 - These techniques can include image manipulation, filtering, enhancement, feature extraction, segmentation, and object detection. Python provides several powerful libraries for image processing, including OpenCV, Pillow, and scikit-image, which ...
Ultralytics
docs.ultralytics.com › ultralytics docs › modes › predict
Model Prediction with Ultralytics YOLO | Ultralytics Docs
November 12, 2023 - Batch Processing: Process multiple images or video frames in a single batch, further reducing total inference time. Integration Friendly: Easily integrate with existing data pipelines and other software components, thanks to its flexible API. Ultralytics YOLO models return either a Python list of Results objects or a memory-efficient generator of Results objects when stream=True is passed to the model during inference:
University of Amsterdam
staff.fnwi.uva.nl › r.vandenboomgaard › IPCV20172018 › 20172018 › LabExercises › introPython.html
2. Introduction to Python for Image Processing And Computer Vision — Image Processing and Computer Vision 2.0 documentation
Obviously the loops over all pixels and all neighbors must be there somewhere but ‘hidden’ in Python functions (written in C) and therefore we can achieve considerable speedups. def linfilter2(f, w): """Linear Correlation based on neigborhood processing without loops""" g = empty(f.shape, dtype=f.dtype) M,N = f.shape K,L = (array(w.shape)-1)//2 for j in range(N): for i in range(M): ii = minimum(M-1, maximum(0, arange(i-K, i+K+1))) jj = minimum(N-1, maximum(0, arange(j-L, j+L+1))) nbh = f[ ix_(ii,jj) ] g[i,j] = ( nbh * w ).sum() return g
Processing
py.processing.org › tutorials › pixels
Images and Pixels \ Tutorials
Python Mode for Processing extends the Processing Development Environment with the Python programming language.
OpenCV
docs.opencv.org › 4.x › d2 › d96 › tutorial_py_table_of_contents_imgproc.html
OpenCV: Image Processing in OpenCV
OpenCV-Python Tutorials · Image Processing in OpenCV · Changing Colorspaces · Learn to change images between different color spaces. Plus learn to track a colored object in a video. Geometric Transformations of Images · Learn to apply different geometric transformations to images like rotation, translation etc.
GitHub
github.com › MizanurRahmann › Image-Processing-In-Python
GitHub - MizanurRahmann/Image-Processing-In-Python: Image Processing Using Python with Data Camp · GitHub
With just a few lines of code, you will convert RGB images to grayscale, get data from them, obtain histograms containing very useful information, and separate objects from the background! ... You will learn to detect object shapes using edge detection filters, improve medical images with contrast enhancement and even enlarge pictures to five times its original size! You will also apply morphology to make thresholding more accurate when segmenting images and go to the next level of processing images with Python.
Starred by 21 users
Forked by 8 users
Languages Jupyter Notebook
PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC4081273
scikit-image: image processing in Python - PMC
Checking your browser before accessing pmc.ncbi.nlm.nih.gov · Click here if you are not automatically redirected after 5 seconds
PyPI
pypi.org › project › pillow
pillow · PyPI
The Python Imaging Library adds image processing capabilities to your Python interpreter.
» pip install pillow
Published Apr 01, 2026
Version 12.2.0
Repository https://github.com/python-pillow/Pillow
Homepage https://python-pillow.github.io
Groq
console.groq.com › docs › vision
Images and Vision - GroqDocs
You can process a maximum of 5 images. Use Groq API vision features via: GroqCloud Console Playground: Use Llama 4 Scout as the model and upload your image. Groq API Request: Call the chat.completions API endpoint and set the model to · meta-llama/llama-4-scout-17b-16e-instruct · . See code examples below. The following are code examples for passing your image to the model via a URL: curlJavaScriptPythonJSON · Python ·
Epfl
imaging.epfl.ch › field-guide › sections › python
🐍 Python — The Image Analysis Field Guide
Check out our tutorial notebooks on Python. 🚩 Image data handling using Python, Numpy, and Scikit-image