Implementation of Point Cloud Data Boundary Extraction and Fitting Functions

This application is developed on the MATLAB platform to provide comprehensive point cloud data processing services. Beyond the core functions of boundary extraction and surface fitting, the system incorporates several essential preprocessing modules: a point cloud data filter for noise reduction using statistical outlier removal algorithms, a point cloud segmentation module implementing region-growing and clustering methods, a point cloud registration tool featuring ICP (Iterative Closest Point) algorithm for aligning multiple scans, and an advanced visualization toolkit supporting 3D rendering with customizable color mapping. The boundary extraction module utilizes alpha-shape algorithms and convex hull methods to detect point cloud peripheries, while the fitting functionality employs RANSAC-based plane fitting and polynomial surface reconstruction techniques. These integrated components ensure efficient and convenient point cloud data handling. Additionally, we provide detailed user manuals with code examples demonstrating key function calls like pcfitplane() for plane fitting and pcregistericp() for registration, helping users maximize the application's potential.