Mobile phone screen line detection method based on machine vision

Abstract

The invention relates to a mobile phone screen line detection method based on machine vision. The method comprises the following steps: S1), acquiring a mobile phone screen line image to be detected by a detecting device; S2), performing binarization processing on the acquired mobile phone screen line image to be detected; S3), searching and marking the connected domain of the mobile phone screenline image K subjected to binarization processing; S4), using a Blob analysis method to de-noise the marked mobile phone screen line image; S5), subjecting the de-noised line image to open-circuit defect, micro open-circuit defect, and short-circuit defect detection; S6), determining and locating the lateral erosion defect in the mobile phone screen line. The method has low detection cost, good practicability and high detection efficiency, and only takes about 50 ms to detect one circuit diagram. In addition, the method has high stability and a low miss detection rate, and improves the accuracy of circuit detection by simultaneous detection of the open-circuit defect, micro open-circuit defect, the short-circuit defect, and the lateral erosion defect.

Description

Technical field [0001] The invention relates to the technical field of machine vision, in particular to a method for detecting lines on a mobile phone screen based on machine vision. Background technique [0002] Machine vision, as the name suggests, is to make the machine have visual functions like humans, so as to realize various functions of detection, judgment, identification, measurement and so on. The machine vision system is generally composed of a camera, an image capture card, a computer, a light source, etc. Its working principle is: under certain lighting conditions, the camera is used to collect the captured target image of the three-dimensional scene into the computer to form the original image; then, use the image The processing technology preprocesses the original image to improve the image quality, divides the graphics, extracts characteristic elements, and constitutes a description of the image; finally, uses pattern recognition technology to perform feature clas...

AI Technical Summary

Problems solved by technology

Although this method achieves the detection effect, it has a large amount of calculation and takes a long time, so it is not suitable for application in actual production

[0004] In the production process of mobile phone touch screen, it is necessary to detect the touch screen circuit to prevent defects such as short circuit, open circuit and micro-break in the circuit. Compared with PCB board, the detection accuracy of mobile phone screen circuit is higher, so it is applied to the circuit detection of PCB board Algorithms cannot be directly applied to the detection of mobile phone screens, and corresponding detection algorithms need to be developed for them. Common defects in mobile phone screen lines include point-shaped, strip-shaped, and block-shaped foreign objects on the line, which make the line broken and bumps caused by foreign objects. Open circuit; short circuit phenomenon caused by metal residue and ITO residue in the line area; severe metal side erosion, the actual line width is less than half of the design value; scratches on the line cause one or more lines to be scratched and lead to disconnection, etc.

[0005] At this stage, the detection of mobile phone touch screen lines mainly relies on manual completion. When performing detection, it mainly uses random inspection for detection. The detection results cannot be guaranteed, and serious missed detection and false detection are prone to occur. In addition, It mainly detects directly by human eyes by placing the detection target under a microscope. This detection method has defects such as low detection efficiency, high labor cost, and high labor intensity.

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