Search Results for "image processing toolbox for..." - Page 4
Sort By:
Showing 148 open source projects for "image processing toolbox for..."
View related business solutions-
Streamline Azure Security with Palo Alto Networks VM-SeriesImprove your security posture and reduce incident response time. Use the VM-Series to natively analyze Azure traffic and dynamically drive policy updates based on workload changes.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
3D medical image platform for visualization and image processing. Segmentation with Levels sets. Surface reconstruction with marching Cubes, texture Mapping and Raycasting,DICOM support. Integration environment for VTK, ITK and vtkInria3D under wxWidgets
-
2
An image processing application based on a scripting language: now LUA (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and FreeType).
-
3
PIAF (Prototype Image Applications Fast) is a prototyping tool for helping development of image processing algorithms. Based on a Qt GUI, it can display and process several live video inputs or still images with a plugins based architecture.
-
4
A simple rendering, image processing engine. Includes a framework width (multiplatform) event handling, plugin management, a templated based math library and some exotic features like general linear camera, gpu based (OpenGL) image process...
-
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
5
VIPS is an image processing suite designed for extremely large images and colorimetry. It consists of a powerful re-usable library and a graphical user interface. http://www.vips.ecs.soton.ac.uk
-
6
Image Restoration and Inpainting: MinGW/OpenGL/Visual c++/Java image processing enhancing/restoring/detecting/recovering image parts(Old painting cracks...) FastRestorarion, 2D (Un)Splitted Linear Solver, nonlinear solver: conjugate gradient,QuasiNewton
-
7
Quantum Mechanical Toolkit And 3D Viewer for C++. Allows Data Visualisation via Images, Surfaces and Volume plots using OpenGL, as well as rapid development Quantum Mechanical Simulations. Uses the Blitz++, VTK Visualisation and Qt Libraries.
-
8
-
9
Small programs for special image processing tasks with wrapper script for seamless integration into GIMP.
-
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
10
The Common OCR Service Interface. COSI is an API that allows developpers to easily bring OCR (Optical Character Recognition) capabilities to image processing applications. COSI supports existing OCR tools such as Tesseract, GOCR or GNU Ocrad.
-
11
DICOM Anonymizer replaces the patient names in all the DICOM files in a folder (and sub-folders) with other strings you assigned. Works as a batch and works fast. Supports number index. Anonymizing is required for medical image processing.
-
12
An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.
-
13
IMGH (IMaGe library in C++ Header files) is a simple, light-weight, and cross-platform image processing library, that supports simple editing and drawing, multiple pixel formats (pointers and float). Designed for developers and researchers.
-
14
The CVR-Lib (Computer Vision and Robotics Library) is a C++ object oriented library for computer vision. It provides lots of functionality to solve mathematical problems, many image processing and analysis algorithms, classification tools, and much more.
-
15
MIVF - Medical Imaging and Visualization Factory, is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).
-
16
Spotfinder is an image processing software tool for microarray image analisys. It is written on C++ with QT GUI toolkit and runs on Windows, X11, and Mac OSX.
-
17
LeafAnalyser has been developed as a fast throughput leaf shape analysis application. It contains features such as automated image processing, data analysis and interactive 2D/3D graphs.
-
18
-
19
VisAmp is a visually controlled mp3 player. It was initially developed during the "Softwarepraktikum" at the Chair for Image Processing and Pattern Recognition of the University of Freiburg, Germany in 2001.
-
20
The objective of CLJ++(owned by ChenLuJie) is to gives lots of convenient to image processing developers. This tool has been used in university's lab with many kind of purposes by researchers.
-
21
GENIAL is a C++ library for signal and image processing. It uses template-generic techniques, multi threading, cache optimization and SIMD instructions for Pentium (MMX, SSE, SSE2, SSE3) to achieve high performance: FFT,DCT,Convolution,Linear Algebra...
-
22
Dicom Explorer is a handy tool. It's a small program which helps you can help you to view both all the tags/attributes inside a DICOM file (including ACR nema format)and images. Some image processing methods are also provided.
-
23
A photo editor and image processing software that provides real professional photo lab effects like smoothing and color filters, adaptive photo enhancement (adaptive sharpness and contrast). Based on C++ using wxWidget makes available for various OS (Lin
-
24
-
25
The Flexible Registration and Evaluation Engine (f.r.e.e.) allows the composition, evaluation and optimization of image processing/registration algorithms. It also aims to boost the exchangeability and comparability of data and algorithms in research.
