Search Results for "image pixel read"

KLT-IV v1.0 has been designed to offer a user-friendly graphical user interface for the determination of river flow velocity and river discharge using videos acquired using a variety of fixed and moving platforms. KLT-IV employs optical flow and computer vision techniques for the tracking of features present on the river surface with pixel displacements being converted to real-world velocities using an optimised camera model approach. Movement of the platform can be accounted for when...

TracTrac is a Particle Tracking Velocimetry (PTV) software which is extremely fast (more than 10k points tracked per second, 100k under python) and accurate (up to 0.01 pixel resolution), forming thus a good concurrent to the state-of-the art PIV/PTV algorithms. It allows to track anything that moves: birds, ants, grains, water flows... It runs on Python (v2&3) or Matlab (>2012a with Image Processing toolbox). Give it a try ! Get the last sources on GitHub: https://github.com/jorishey1234...

MicroMos is an open-source software tool written in MATLAB (The MathWorks, Inc., Massachusetts, USA), for automatically obtaining mosaics of partially overlapped images, also manually acquired. It was designed for stitching microscopy images, but thanks to the many parameters available it works also for other types of images. For more details, please, read: a) F. Piccinini, M. Pierini, E. Lucarelli, A. Bevilacqua, Semi-quantitative monitoring of confluence of adherent mesenchymal stromal...

... an automatic fitting procedure with visual control over the process and the quality of the fit, including statistical measures. SpikeAnalyzer is equipped with an original pixel time correction algorithm, introduced to account for the exact time of acquisition of individual pixels of the object in the image. SpikeAnalyzer was tested to analyze both synthetic and raw confocal data.

MADR is a framework for analysis of series of images (2D data) where each pixel position have the same meaning in every image. Based on a statistical analysis, the images can then be visualised together with parameters from the analysis.