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Digital image correlation and tracking is an optical method that employs tracking and image registration techniques for accurate 2D and 3D measurements of changes in images. This method is often used to measure full-field displacement and strains , and it is widely applied in many areas of science and engineering.
The common idea of image registration and digital image correlation is to find the transformation between a fixed image and a moving one for a given metric using an optimization scheme. While there are many methods to achieve such a goal, Yadics focuses on registering images with the same modality.
The full-field monitoring capabilities of an image correlation technique allow for the measurement of strain magnitude and location on the surface of a specimen during a displacement-causing event, [10] such as PCBA during a thermal profile. These "strain maps" allow for the comparison of strain levels over full areas of interest.
This is a list of free and open-source software for geological data handling and interpretation. The list is split into broad categories, depending on the intended use of the software and its scope of functionality. Notice that 'free and open-source' requires that the source code is available and users are given a free software license.
The development of Aphelion started in 1995 as a joint project of a French company, ADCIS S.A., [2] and an American company, Amerinex Applied Imaging, Inc. (AAI) [3] Aphelion's image processing and analysis functions were made from operators available from the KBVision software developed and sold by Amerinex's predecessor, Amerinex Artificial Intelligence Inc.
ImageJ supports image stacks, a series of images that share a single window, and it is multithreaded, so time-consuming operations can be performed in parallel on multi-CPU hardware. ImageJ can calculate area and pixel value statistics of user-defined selections and intensity-thresholded objects.
Version 8.0 (June 2019) is the successor of both Mountains 7.4 and SPIP 6.7 software packages ("SPIP" standing for "Scanning Probe Image Processor") after the acquisition by Digital Surf of the Danish company Image Metrology A/S, the editor of SPIP. [25] Version 8.0 also introduces the analysis of free form surfaces, called "Shells" in the ...
Image registration or image alignment algorithms can be classified into intensity-based and feature-based. [3] One of the images is referred to as the moving or source and the others are referred to as the target, fixed or sensed images. Image registration involves spatially transforming the source/moving image(s) to align with the target image.
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