Method and system for automatically detecting characteristic points of a herringbone fabric with a view to automatically cutting pieces

A method for automatically detecting characteristic points of a herringbone fabric with a view to automatically cutting pieces, the herringbone patterns being formed by V-shaped features with vertices that are aligned along a plurality of parallel axes, the method comprising:

• a step of acquiring an image of a segment of the fabric;
• a detection initialization step comprising:
• based on predefined parameters, acquiring geometric parameters of the herringbone patterns including vertical or horizontal direction of the herringbones, an initial point of coordinates corresponding to a first theoretical point of passage on a first line of operation, and a theoretical spacing between two herringbone pattern axes;
• based on the initial point, defining lines of operation perpendicular to the axes of the herringbone patterns and spaced from each other by an operator-defined pitch or predefined parameters;
• and
• creating an analysis window, initially centered on the initial point, having dimensions determined by the operator or on the basis of predefined parameters;
• a step of determining, in the image, coordinates of points of passage of axes of the herringbone patterns along the lines of operation by iteratively moving the analysis window within the image along each of the lines of operation and optimizing a criterion of symmetry of two mirror sub-images acquired along lines of operation;
• wherein the points of passage of axes of the herringbone patterns form a deformed grid which is used to reposition and/or deform the pieces to be cut.