CImg VS ITK

It looks promising.

I like the way each algorithm is explained with minimal example and demo images.

I'm looking for such a lightweight vision lib to embed simple image manipulation programs on tiny ESP32-CAM boards.

OpenCV seems too heavy to integrate on such small devices.

So far, I've been able to develop simple image processing programs with CImg[1] (simple filtering, image cropping, adding text).

I'll try to spend some time exploring this SOD lib, thank you for sharing.

[1] https://cimg.eu/

CImg : http://cimg.eu/ (C++)

> If you think your project will have more than half a dozen developers then you should probably start thinking about something like...

CMake was created in 2000 with large, cross-platform projects involving multiple organizations in mind. The development was funded by the National Library of Medicine (NLM) for the ITK project (https://github.com/InsightSoftwareConsortium/ITK). As of 2025, ITK consists of millions of lines of code and has received contributions from hundreds of developers. Other projects of similar scale include VTK and ParaView.

The itkImage.h header is ITK's standard n-dimensional image data structure.

In this post, we review how the Insight Toolkit (ITK) leverages the first-interaction GitHub Action to communicate our appreciation of the efforts of first-time contributors, establish norms for behavior, and provide civil pointers on where to find more information.

Jupyter has emerged as a fundamental component in artificial intelligence (AI) solution development and scientific inquiry. Jupyter notebooks are prevelant in modern education, commercial applications, and academic research. The Insight Toolkit (ITK) is an open source, cross-platform toolkit for N-dimensional processing, segmentation, and registration used to obtain quantitative insights from medical, biomicroscopy, material science, and geoscience images. The ITK community highly values scientific reproducibility and software sustainability. As a result, advanced computational methods in the toolkit have a dramatically larger impact because they can be reproducibly applied in derived research or commercial applications.

It also depends heavily on the toolchain. One of the first successful toolkits used to circumvent image-based security measures was ITK, originally a toolkit for medical image processing. That's not even using AI (at least back then). Here you build "piplines" by lego'ing together functions like building blocks, there are rules to it, but the sleek interface design make it very versatile. It was a nightmare to devise ways to counteract, since the crucial processing steps could easily be switched around as long as the linear algebra made sense. And when you have a toolchain excelling in fourier-space based analysis and interaction, the linear algebra makes sense in a lot of different orders of doing steps.

Yeah, Prolog is pretty cool!

Another technology I found interesting too learn is ITK (https://itk.org/). You need a different mindset using ITK than other image processing libraries.

Lisp is cool as well.

And fully homomorphic encryption.

VTK is a powerful visualization package, but it's more for working with 3D FEM/CFD data. There are lots of things in there though, so it may be useful. The sister project Paraview is an application which can be used to work with data interactively. Both have great Python support. There is also ITK which is focused on with image data, like medical scans - never used it, though.