CNC debugging optimization method and system based on machine learning

The invention relates to the technical field of data processing, in particular to a CNC debugging optimization method and system based on machine learning, and the method comprises the steps: firstly obtaining a radius sequence according to the distance difference between a tool stop point and a non-tool stop point in a difference image of adjacent frames; analyzing a pixel value difference between a tangent circle in a to-be-selected cluster of the radius and a corresponding edge circle to determine a neighborhood density verification value of the radius; further analyzing the change of the verification value of the neighborhood density to determine the range of the radius to be selected, and further obtaining the verification value of the radius to be selected, thereby achieving the obtaining of the optimal clustering radius and the clustering density corresponding to the optimal clustering radius, and obtaining an accurate real-time processing region. According to the method, a real-time processing area is