Defect detection of small modulus gear based on machine vision

Abstract

This paper aims at the difficulty of detecting the size limit of small modulus gear, using machine vision inspection method which is popular in precision measurement to build a rapid gears detection system. Firstly,a series of image preprocessing operations such as grayscale processing, filtering, binarization, and morphological processing are implemented,excluding the background image,and the clear gear target is obtained. Then, the gear contour is detected and the gear feature points are identified. Extract the points on the teeth,and the automatic detection of the number of teeth and the accurate identification of missing teeth are achieved.