Search Results for "set"

...Standardized image acquisition is strongly recommended and briefly described in the manual which you can get here for free http://plantscience.psu.edu/research/labs/roots/publications/overviews/next-generation-shovelomics-set-up-a-tent-and-rest

mVision library is a set of functions related with computer vision programmed in Matlab. Also include a couple of GUIs for test visually the functions.

...In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of image analysis, such as fluorescence intensity. Work is in progress to provide three-channel functionality, allowing comparison of relative intensity of red, green, and blue channels in multi-color images.

Matlab tool for plotting multi-channel biomedical signals. It is designed for researchers on both engineering and medicine who have to collaborate to visualize and analyze signals. It is the ideal tool to plot electroencephalogram (EEG), Foetal Heart Rate (FHR) and many other signals with the standard tools used in clinical routine.

A set of tools for tactile display of Matlab graphs using haptic (force feedback) devices.

The STIanafor is a tool for spatio-temporal data vizualization, analysis and forecast of incidence of sexually-transmitted diseases and drug resistance of pathogens in the Russian Federation. Currently supports gonorrhoea (N. gonorrhoeae) and syphilis (T. pallidum). A set of real data for testing is provided.

Overhead Imagery Research Data Set (OIRDS) - an annotated data library & tools to aid in the development of computer vision algorithms

Implematation of robust depth-based inference tools for microarray data (a scale curve, to measure the dispersion of a set of curves, a rank test to decide if two groups of curves come from the same population, and classification techniques).

MEX/JNI is a set of bindings between MATLAB and Java using Mathworks' External Interface API and Java Native Interface (JNI).