Detection method and apparatus

Abstract

The embodiment of the invention discloses a detection method and apparatus. The method comprises: a template image and a tested image are inputted into a trained Siamese network and forward calculation is carried out to obtain feature vectors of the template image and the tested image; similarity of the feature vectors of the template image and the tested image is calculated; and according to the similarity, whether the tested image and the template image match each other is determined. Because the Siamese network can extract high-grade features of the image, whether the tested image and the template image match each other can be determined accurately by inputting the images into the trained Siamese network; and the determination accuracy is high.

Description

technical field [0001] The invention relates to the field of AOI, in particular to a detection method and device. Background technique [0002] Image matching refers to the technology of judging whether two images are similar by using image features. It has been used in various fields, such as component detection and face recognition, etc. by using image matching technology. The robustness is low, and it is easy to be affected by the environment such as lighting, which may cause matching errors, and the matching accuracy is low. [0003] Take image matching in the field of component detection as an example: Printed circuit board (PCB board for short) refers to a circuit board that provides connections for various electronic components. As electronic equipment becomes more and more complex, the required parts are naturally more and more Many, the lines and connections on the PCB are becoming more and more dense, so it is inevitable that there will be missing parts when solde...

AI Technical Summary

Problems solved by technology

[0004] At present, the detection of missing parts of electronic components on PCB boards is carried out by manual detection. This kind of scheme is time-consuming, high in cost and low in efficiency. Template matching missing parts detection method, but this scheme is susceptible to detection errors due to the influence of lighting and other environments, and some are implemented based on color histograms or some low-level features, but these schemes are due to unreliable color information of electronic components or The low-level features of electronic components are not obvious, resulting in detection errors

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