Edge Connection and Edge Fitting Implementation for Edge Detection in Image Processing

This code implements edge detection functionalities in image processing, specifically focusing on edge connection and edge fitting operations. Edge detection is a fundamental technique in computer vision that identifies object boundaries within digital images. The edge connection process typically involves algorithms like hysteresis thresholding or edge tracking to link discontinuous edge fragments into continuous contours. Edge fitting employs mathematical techniques such as polynomial approximation or spline interpolation to refine detected edges into smooth curves or lines. These two processing stages significantly enhance the accuracy and continuity of edge information extraction. The primary purpose of this implementation is to extract robust edge features through these advanced processing methods, enabling more precise image analysis and computer vision applications. The code likely includes functions for morphological operations, curve fitting algorithms, and connectivity analysis to achieve optimal edge representation.