Research on Phone Shell Detection Based on Machine Vision

Abstract

Abstract With the continuous development of computer technology, machine vision technology has the incomparable advantages of manual detection, such as non-contact, non-fatigue, so it is widely used in the field of industrial detection. The traditional method of mobile phone shell detection does not meet the increasingly intelligent demand. It is of practical significance to use machine vision technology to realize mobile phone shell detection. Combined the technology of image processing technology, this paper proposes a kind of mobile phone shell detection based on machine vision method. First of all, the original image is preprocessed, and then a method combining median filter and wavelet tool is used to eliminate image noise. On this basis, image segmentation and edge extraction are carried out. The improved Canny operator is used to detect the edge of the image, which has good effect in eliminating the false edge and ensuring the integrity and continuity of the edge. Meanwhile, mathematical morphology is used to extract the characteristic parameters of the target, and the effectiveness of the detection method is verified by simulation in Matlab.