A technique for automated analysis of the blade surface for defects under UV light
A technique for automated analysis of the blade surface for defects under UV light is presented. The basis of control operations when inspecting blade surfaces is the use of machine vision. The technique solves several key problems: obtaining a package of inspection images of a complex profile object of inspection (an aircraft blade), determining the actual parameters (sizes) of glows for single and group defects, generating expert recommendations (digital trace) for determining the presence of defects on the inspected surfaces for the operator or automated systems. An algorithm for processing images obtained from a video camera is presented, and approaches to compensating for the shift of blades in a frame during inspection rotation are described. The technique describes the following sequentially performed stages: shooting of the blade surface; searching for glows in a two-dimensional image; converting two-dimensional coordinates of the glows into three-dimensional ones; determining the actual parameters of the glows; determining the position of the glows relative to each other; determining the degree of suitability of the blade based on the obtained information about the glows.