mGFD: CloudGenerator 2.2
Advanced tool for generating point clouds that can be used with the meshless Generalized Finite Differences (mGFD) method
Potentes herramientas para la informática científica
Todo lo que necesitas para generar nubes de puntos de alta calidad
ContourCreator
Create geometric contours interactively from images. Uses advanced segmentation algorithms to automatically detect regions.
CloudGenerator
Generate unstructured point clouds from CSV files. Automatically optimizes point distribution according to geometry for mGFD simulations.
CloudViewer
Visualize your generated point clouds directly in the browser. Inspect node distribution, regions, and boundary classifications with high-quality 2D plots.
NeighborsCalculator
Calculate and analyze neighbor relationships within your point clouds. Essential for mGFD connectivity analysis and validation.
Acerca del proyecto
Learn more about the development team, methodology used, and research objectives of the project.
Cómo funciona
Proceso completo desde imagen hasta nube de puntos no estructurada.
Subir imagen
Start by uploading your image containing regions of interest. Our system supports multiple formats and provides instant preview with quality validation.
Detectar contornos
Advanced computer vision algorithms automatically identify and extract geometric contours with sub-pixel precision, ensuring accurate boundary detection.
Coordenadas de exportación
Extract and export contour coordinates in industry-standard CSV format, ready for integration with your computational workflow and analysis tools.
Generar nube de puntos
Transform contours into optimized unstructured point clouds using advanced algorithms specifically designed for mGFD computational efficiency.
Visualizar y analizar
Detailed visualization of generated point clouds with comprehensive analysis tools, quality metrics, and multiple export formats for your research needs.
Características clave
Capacidades avanzadas que distinguen nuestra plataforma
Detección interactiva de contornos
Advanced flood fill and equidistant contour sampling algorithms automatically identify geometric regions and guarantee mathematically uniform node spacing for complex boundaries.
Generación de nube de puntos adaptativa
Generates optimized point clouds with adaptive density based on geometric complexity. Preserves contour nodes and uses topological fallbacks to guarantee valid sub-domains.
Visualización de alta calidad
Generates detailed 2D visualizations with node classification, boundary highlighting, and quality analysis. Exports high-resolution images and SVG graphics suitable for scientific publications.
Exportación de datos flexible
Exports point cloud data in CSV format with comprehensive node classification including boundary, interface, and interior node types. Compatible with scientific computing workflows and mGFD solvers.