Griffin Lab Image Analysis Group. Our research focuses on the analysis and processing of images for the purposes of detection, classification and quantification. For more details please refer to the the project pages above or contact Dr Lewis Griffin. Department of Computer Science. Telephone: 44 (0)20 7679 7214. UCL Griffin Lab Image Analysis Group 2014.
http://imageanalysis.cs.ucl.ac.uk/
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Image Analysis @ UCL | imageanalysis.cs.ucl.ac.uk Reviews
https://imageanalysis.cs.ucl.ac.uk
Griffin Lab Image Analysis Group. Our research focuses on the analysis and processing of images for the purposes of detection, classification and quantification. For more details please refer to the the project pages above or contact Dr Lewis Griffin. Department of Computer Science. Telephone: 44 (0)20 7679 7214. UCL Griffin Lab Image Analysis Group 2014.
imageanalysis.cs.ucl.ac.uk
Image Analysis @ UCL
http://imageanalysis.cs.ucl.ac.uk/people.php
Reconstruction of neural circuits. Polarised light imaging of the CNS. Weekly lab lunch schedule. Department of Computer Science. Telephone: 44 (0)20 7679 7214. UCL Griffin Lab Image Analysis Group 2014.
Image Analysis @ UCL
http://imageanalysis.cs.ucl.ac.uk/bifs.php
Basic Image Features (BIFs) are a significant contribution by this group. Computation of BIFs consists in classifying each pixel of an image into one of seven categories depending on local structures and symmetries, creating a primal sketch of the input image. BIFs are computed efficiently based on the responses to a bank of Derivative-of-Gaussian (DtG) filters. The computation of BIFs is controlled by a scale parameter ( σ. The standard deviation of the DtG filters) and a threshold parameter ( ε. 2009 S...
Image Analysis @ UCL
http://imageanalysis.cs.ucl.ac.uk/rapiscan.php
In partnership with Rapiscan Systems, our group is developing machine vision algorithms for the automated analysis of X-ray imagery of cargo containers, luggage, and individuals. Our paper [ PDF. On the use of advanced Threat Image Projection (TIP) for training humans and machines (i.e. dealing with the data bottleneck for Machine Learning) was accepted for presentation at ICCST 2016. A summary of our work was presented at the SPIE Defense Security 2016 conference. And is archived as a PDF here. Rogers T...
Image Analysis @ UCL
http://imageanalysis.cs.ucl.ac.uk/index.php
Our research focuses on the analysis and processing of images for the purposes of detection, classification and quantification. For more details please refer to the the project pages above or contact Dr Lewis Griffin. Tweets from Lewis Lab members. Department of Computer Science. Telephone: 44 (0)20 7679 7214. UCL Griffin Lab Image Analysis Group 2014.
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Image Analysis @ UCL
Griffin Lab Image Analysis Group. Our research focuses on the analysis and processing of images for the purposes of detection, classification and quantification. For more details please refer to the the project pages above or contact Dr Lewis Griffin. Department of Computer Science. Telephone: 44 (0)20 7679 7214. UCL Griffin Lab Image Analysis Group 2014.
COMSTAT by Arne Heydorn
COMSTAT 1 is a program for quantification of three-dimensional biofilm structures. It analyzes stacks of images acquired with confocal laser scanning microscopy (SCLM). It is written as a script in MATLAB 5.3 (MathWorks, http:/ www.mathworks.com/. COMSTAT2 is a non-MATLAB based program being developed by Martin Vorregaard under supervision of Claus Sternberg, Bjarne Ersbøll and Søren Molin at the Technical University of Denmark. The COMSTAT2 website can be found here. When using COMSTAT 1, please cite:.
ImageNet home
For the exchange of scientific information relating to image-based assays and automated microscopy in research and drug discovery screening. ImageNet is a unix based mailing list formed to promote scientific discussion based on the use of automated microscopy systems for image analysis of in vitro cell-based assays, in the context of basic research or drug discovery-related screening. ImageNet is modeled after the extremely useful Histonet. To Subscribe to the ImageNet mailing list:. ImageNet-digest-subs...
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