MATLAB Code Implementation for Linear Regression
A practical and efficient MATLAB program for linear fitting, featuring robust implementation with detailed code explanations
Research on Automatic Dimension Detection Technology for Workpieces Based on Computer Vision
Study of automated workpiece dimension detection using computer vision technology, incorporating straight-line fitting algorithms, complete MATLAB/Python implementation code, and sample images for processing
Combining Hough Transform and Least Squares Method for Straight Line Fitting in Binary Edge Maps
This research presents a hybrid approach integrating Hough Transform with Least Squares Method for accurate straight line fitting in experimental data and binary edge image processing. The methodology first employs Hough Transform to eliminate interference points and separate data clusters near different lines, then applies Least Squares fitting to each identified line segment. This solution addresses two major limitations: the sensitivity of pure Least Squares to noise and multi-line distributions, while overcoming Hough Transform's precision and segment control challenges. Implementation includes parameter optimization for noise thresholding and coordinate transformation algorithms.
Application of Least Squares Linear Fitting in MATLAB
Implementation of Least Squares Linear Fitting Using MATLAB's Built-in Functions with Code Examples
Linear Fitting and Polynomial Fitting with Code Implementation Examples
Linear Fitting and Polynomial Fitting: Foundational Content from Numerical Calculation Courses with Two Practical Examples. Originally sourced from Baisi Forum http://www.baisi.net/thread-1270848-1-1.html, enhanced with algorithm explanations and implementation approaches.
Comparison Between RANSAC Line Fitting and Least Squares Fitting
Comparison Between RANSAC Line Fitting and Least Squares Fitting
RANSAC Algorithm Linear Model Implementation
RANSAC Algorithm Linear Model with Code Implementation Details