MATLAB for Windows
- By The MathWorks
- Free
- 2025.2.2.1
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Image Analyzer
Image Analyzer is an advanced image editing application that is coupled with enhancement and analysis software. Image Analyzer also contains plugin support to help you enhance your editing techniques. Supported plugins include; combine for High Dynamic Range (HDR), microscopic imaging, text and vector graphics, 3D modeling, fractal interpolation, raster export, JPEG 2000 and TIFF file format handler, PCA color stretch and 8fb plugin interface. Key Features Include: Automatic brightness, contrast, gamma and saturation adjustment. Retinex filter for reducing shadows and increasing local contrast. Color model conversion: RGB, CMY, HSI, Lab, YCbCr, YIQ and PCA. Math expression module for creating and transforming images and advanced "pocket" calculator with equation solver. Plugin system for adding more specialized features. Build-in conventional and adaptive filters for noise reduction, retouch tools including clone, spot healing and warping brushes. Supported file formats include: read/write BMP, ICO, CUR, WMF, EMF, PNG, MNG, GIF, PCX, JPEG and JPEG 2000 images Read CR2, RAS, PNM, PGM, PPM, HIPS and Matlab files. Scanner, camera and printer support. User specified filters in spatial and frequency domain. Easy red-eye removal. Basic support for layers. Overall, the Image Analyzer application will give you numerous advanced editing techniques and features on top of the standard tools that are found with most editing software.
PMD
PMD is a source code analyzer. It finds common programming flaws like unused variables, empty catch blocks, unnecessary object creation, and so forth. It supports Java, JavaScript, XML, XSL. Available Plugins include: Maven PMD. Eclipse. NetBeans. JBuilder. JDeveloper. IntelliJ IDEA. PMD additionally includes CPD, the copy-paste-detector. CPD finds duplicated code in Java, C, C++, C#, PHP, Ruby, Fortran, JavaScript, PLSQL, Apache Velocity, Scala, Objective C, Matlab, Python, Go.
matplotlib
matplotlib is a python 2D plotting library that produces publication quality figures in a variety of hard copy formats and interactive environments across multiple platforms. The application can be used in python scripts, the python and IPython shell, web application servers, and six graphical user interface tool-kits. matplotlib tries to make easy things easier and hard things possible. With it, you can generate plots, histograms, power spectra, bar charts, error charts, scatter plots, etc, with only a few lines of code. For simple plotting the pyplot interface provides a MATLAB-like interface, particularly when combined with IPython. For the power user, you have full control of line styles, font properties, axes properties, etc, via an object oriented interface or via a set of functions familiar to MATLAB users.
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