Application method of rotating and sub-pixel matching algorithm to machine vision system

Abstract

The invention discloses an application method of a rotating and sub-pixel matching algorithm to a machine vision system. The method comprises the following steps of: firstly rotating a matching source (source images) in a certain small-angle range, saving every figure obtained by rotating, then matching the target image with all the images in sequence, and searching for the image with the maximummatching value as the corresponding matching result; and then using the algorithm to calculate the point of the maximum similarity among a series of matching characteristic points obtained by matching, wherein the coordinate of the point is the measurement result. The method solves the problem that the matching degree is low when an angle is formed between the source image and the target image inthe matching process, and can ensure the successful and correct matching in condition of a higher threshold value. and moreover, the invention has a measurement accuracy in pixel, and the measurementaccuracy can be improved to the pixel (N is larger than 5) as required, but the current solution can only achieve the pixel level.

Description

Technical field: The invention relates to the field of high-precision machining of numerical control machine tools, in particular to an application method of a sub-pixel matching algorithm with rotation in a machine vision system. Background technique: Machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system refers to converting the ingested target into an image signal through machine vision products (that is, the image capture device, which is divided into CMOS and CCD), and sending it to a dedicated image processing system. According to the pixel distribution, brightness, color and other information, the transformation The image system performs various calculations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results of the discrimination. The machine vision system used in NC machining is mainly used in the field of precision machi...

AI Technical Summary

Problems solved by technology

The purpose of the present invention is to solve the low image matching degree and effectively improve the measurement accuracy in the process of machine vision processing, and proposes an application method of a sub-pixel matching algorithm with rotation in the machine vision system