Advanced tool for generating clouds of points that can be used with the meshless Generalized Finite Differences (mGFD) method
Everything you need to generate high-quality clouds of points
Create geometric contours interactively from images. Uses advanced segmentation algorithms to automatically detect regions.
Generate unstructured clouds of points from CSV files. Automatically optimizes point distribution according to geometry for mGFD simulations.
Learn more about the development team, methodology used, and research objectives of the project.
Complete process from image to unstructured cloud of points
Start by uploading your image containing regions of interest. Our system supports multiple formats and provides instant preview with quality validation.
Advanced computer vision algorithms automatically identify and extract geometric contours with sub-pixel precision, ensuring accurate boundary detection.
Extract and export contour coordinates in industry-standard CSV format, ready for integration with your computational workflow and analysis tools.
Transform contours into optimized unstructured clouds of points using advanced algorithms specifically designed for mGFD computational efficiency.
Interactive visualization of generated clouds of points with comprehensive analysis tools, quality metrics, and multiple export formats for your research needs.
Advanced capabilities that set our platform apart
Advanced flood fill and edge detection algorithms automatically identify geometric regions from images with simple click interaction, providing precise boundary extraction for complex shapes.
Generates optimized clouds of points with adaptive density based on geometric complexity. Preserves original contour points and automatically classifies boundary nodes for mGFD applications.
Generates detailed 2D visualizations with node classification, boundary highlighting, and quality analysis. Exports high-resolution images and SVG graphics suitable for scientific publications.
Exports cloud of points data in CSV format with comprehensive node classification including boundary, interface, and interior node types. Compatible with scientific computing workflows and mGFD solvers.