Edge Connection and Line Segment Fitting Source Code Implementation

This document presents the complete source code implementation for edge connection and line segment fitting algorithms, which I am pleased to share with the technical community. The implementation includes detailed explanations of edge connection techniques that typically involve morphological operations or gradient-based methods to bridge gaps between detected edges. For line segment fitting, the code demonstrates common approaches like Hough Transform or least-squares fitting algorithms that convert connected edges into meaningful geometric representations. These techniques are fundamental in image processing and computer vision applications such as object detection, robotic navigation, and 3D reconstruction. The provided source code contains key functions for edge thresholding, contour tracing, and line parameter estimation, allowing developers to better understand and practice these computer vision techniques. Each module includes comments explaining algorithm parameters and optimization strategies. I hope this resource proves valuable for your projects, and I encourage you to share your implementation experiences and insights with fellow developers.