<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Validation - Tag - Jorgen Bergstrom</title><link>https://bergstrom.org/tags/validation/</link><description>Validation - Tag - Jorgen Bergstrom</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Jorgen Bergstrom</copyright><lastBuildDate>Sat, 31 Oct 2026 00:00:00 -0400</lastBuildDate><atom:link href="https://bergstrom.org/tags/validation/" rel="self" type="application/rss+xml"/><item><title>Synethetic DIC Data Generator</title><link>https://bergstrom.org/posts/synthetic_dic/</link><pubDate>Sat, 31 Oct 2026 00:00:00 -0400</pubDate><author>Jorgen Bergstrom</author><guid>https://bergstrom.org/posts/synthetic_dic/</guid><description>Introduction It is useful to have reference data with known deformation and strain fields when evaluating the accuracy of DIC (Digital Image Correlation) software. For this purpose, I wrote a small speckle pattern image generator called DicGen. This free open source software, which is the subject of this post, produces synthetic 2D speckle images in which the deformation is known exactly.
In my previous post I described a new 2D DIC pipeline written in Python, and how I drove it with an LLM agent on 1,000 frames from a laboratory tensile test.</description></item></channel></rss>