Superpixel code The idea of superpixels was originally developed by Xiaofeng Ren and Jitendra Malik . This implementation is different, and is a version of that used in ,. See the README for more information. Update (March 11, 2010): 64-bit modifications of code available (thanks to Richard Lowe for providing the fixes) Update (March 7, 2006): Fine scale superpixel code  now available. Tarball and directory of 64-bit superpixel code. Tarball and directory of superpixel code. Example images (from , N_sp=1000): References  X.  G.  G. Back to Greg Mori's page WebHome < Olena The Olena Image Processing Platform Olena is a platform dedicated to image processing and pattern recognition. Its core component is a generic and efficient C++ library called Milena . Milena provides a framework to implement simple, fast, safe, reusable and extensible image processing tool chains. The library provides many ready-to-use image data structures (regular 1D, 2D, 3D images, graph-based images, etc.) and algorithms. On top of Milena, the Olena platform also features optional modules such as Swilena, a component exposing Milena to other languages thanks to the Simplified Wrapper and Interface Generator (SWIG) ; and the SCRIBO module for Document Image Analysis. The Olena platform is Free Software. See the Overview of Olena for a longer introduction to the project. Latest News RSS feed More news . Milena The C++ library of Olena is Milena . different image types many tools to ease programming image processing tasks a collection of image processing operators. Availability See also
Advanced Vision Module - TASK 6 MATLAB CODE This task tracks a falling ball. These files are used as part of TASK 6: detect.m - The background subtraction detector.extractball.m - Extracts the ball from a given image.kalman.m- The Kalman filter tracker.condense.m - The condensation tracker.Ball Video Frames - input databgprobmod.m - Estimates the initial non-parametric model.kernel.m - Computes the non-parametric kernel evaluation.detectp.m - The non-parametric kernel based detection algorithm. There are 4 separate demos: The first just does detection by background subtraction (enter matab command: detect). This can be considered as the ground truth. Each demo displays the tracked ball sequence (with predicted position against true position for kalman/condense) and a plot of ball height in the image over time measured in frames of the sequence (for background subtraction & kalman demos). Example mpeg movies can be viewed using the gmplayer command. All 3 demos expect the Ball Video Frames in . [AV index page]
Oscilloscopes: MATLAB PC Oscilloscope Software MATLAB® is a software environment used by over 1,000,000 users to make measurements, analyze data, control instruments, and build test systems. MATLAB handles a range of computing tasks from data acquisition and analysis to application development. MATLAB integrates mathematical computing, visualization, and a powerful technical language. Read the summary brief called Using MATLAB with Teledyne LeCroy Oscilloscopes to learn the value of using MATLAB with digital oscilloscopes and how MATLAB enables custom measurements to be made directly on Teledyne LeCroy oscilloscopes. Data acquisitionData analysis and visualizationInstrument ControlAlgorithm prototyping and developmentModeling and simulationProgramming and application developmentTest system development The following presentation shows in four easy steps how to use MATLAB to make custom measurements on Teledyne LeCroy oscilloscopes such as the Teledyne LeCroy WaveMaster: XDEV Customization Video (6:02) MATLAB - WaveMaster XDEV Intro Mean
Training - Anritsu Training and Education Welcome to our new website! You will now have even more information at your fingertips, with the ability to locate course web pages via links or the calendar shown at the bottom of this page. Take a look around, and please don't hesitate to let us know if we can help! Anritsu Training provides instructor-led and online courses to help you and your employees stay up to date with technologies important to your job. Our instructor-led courses typically include about a 50/50 split between lectures and labs. Anritsu offers training at various locations across the USA and some international locations as well. Interested in a dedicated class specifically for your employees? If you require information regarding training options outside the USA, we are happy to help! PIM Training is here! Anritsu now offers an eLearning course on taking care of your handheld unit connectors.
STUDIO SUITE CST offers a wide range of EM simulation software to address design challenges across the electromagnetic spectrum, from static and low frequency to microwave and RF, for a range of applications, including EDA & electronics, EMC & EMI and charged particle dynamics. The centerpiece of CST’s product range is CST STUDIO SUITE®. This comprises CST’s complete set of 3D electromagnetic simulation tools, along with a number of related products dedicated to more specific design areas such as cable harnesses, PCBs and EM/circuit co-simulation. As well as simulation tools, CST also offers CST BOARDCHECK™, a PCB rule-checking program that reads popular board files and examines them against signal integrity (SI) and electromagnetic compatibility (EMC) design rules, and Antenna Magus®, which significantly simplifies the antenna design process by enabling access to a large database of parameterized antennas that can be exported to CST MICROWAVE STUDIO®.
ESO C Library for an Image Processing Software Environment (eclipse) Next: Developing a Wavelet CLEAN Algorithm for Radio-Interferometer Imaging Up: Software Applications Previous: Development of Radio Astronomical Data Reduction Software NEWSTAR Table of Contents - Subject Index - Author Index - Search - PS reprint - PDF reprint Devillard, N. 2001, in ASP Conf. Ser., Vol. 238, Astronomical Data Analysis Software and Systems X, eds. F. R. Harnden, Jr., F. Nicolas Devillard European Southern Observatory Abstract: Written in ANSI C, eclipse is a library offering numerous services related to astronomical image processing: FITS data access, various image and cube loading methods, binary image handling and filtering (including convolution and morphological filters), 2-D cross-correlation, connected components, cube and image arithmetic, dead pixel detection and correction, object detection, data extraction, flat-fielding with robust fit, image generation, statistics, photometry, image-space resampling, image combination, and cube stacking. 1. 2. 3. 4. 5. 6. 7.
The CImg Library - C++ Template Image Processing Toolkit 1.1. What is the CImg Library ? The CImg Library is an open-source C++ toolkit for image processing. It mainly consists in a (big) single header file CImg.h providing a set of C++ classes and functions that can be used in your own sources, to load/save, manage/process and display generic images. 1.2. CImg has been designed with portability in mind. PC Linux 32 bits, with g++. CImg has a minimal number of dependencies. 1.3. The CImg Library is freely distributed as a complete .zip compressed package, hosted at the Sourceforge servers. This package contains : The main library file CImg.h (C++ header file).Several C++ source code showing examples of using CImg.A complete library documentation, in HTML and PDF formats.Additional library plug-ins that can be used to extend library capabilities for specific uses. The CImg Library is a quite lightweight library which is easy to maintain (due to its particular structure), and thus has a fast rythm of release. 1.4. 1.5. 1.6. #include "CImg.h"
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