July 2022 Workshop Video 5: Histographic segmentation and bracket mesh registration

In this video, histographic segmentation is demonstrated using a fiber composite dataset, showing how to segment or paint in image or histographic domains. This is followed by an example of a 3D printed bracket to be aligned to its design file STL. The workflow uses mesh to mesh alignment and the image data can then be registered using the same transformation. Let's Connect 🡆 Twitter-   / orsdragonfly3d   🡆 LinkedIn:   / object-research-systems   🡆 ORS Website: ORS Website: https://www.theobjects.com 🡆 Sales-related inquiries: sales@theobjects.com 🡆 Support: support@theobjects.com About ORS Object Research Systems (ORS) develops deep learning powered 3D visualization and image analysis software. Dragonfly and Dragonfly Cloud, ORS’ flagship products, provide innovators from leading universities or industries, an advanced machine learning and neural networks based segmentation engine. Dragonfly's quantification tools then provide powerful options for counting, measuring, and characterizing image features, such as pores, fibers, grains, and much more. Its user-friendly experience translates its powerful and accurate quantitative findings in high-impact visuals. The ability to build fully automated workflows also enables reproducible results. #dragonfly #microscopy #deeplearning #imagesegmentation #microCT #FIBSEM #scientificimaging  #electronmicroscopy #imageprocessing