Electronic component positioning and detecting method based on SURF feature matching

Abstract

The invention discloses an electronic component positioning and detecting method based on SURF feature matching. The method comprises the following steps: acquiring an image of a sample circuit boardand an image of a circuit board to be tested, establishing a coordinate system for an original sample image and an original image to be tested, and performing mean downsampling on the two images respectively to obtain a reference sample image and a reference image to be tested; sURF feature point extraction and feature point matching are performed on the reference sample image and the reference to-be-detected image respectively; obtaining a matching point, calculating a geometric transformation relationship between the reference sample image and the reference to-be-detected image, positioningcoordinates of the electronic component in the original to-be-detected image, and judging whether the electronic component in the original to-be-detected image has defects or not. According to the invention, the electronic component on the circuit board to be detected is positioned after down-sampling is carried out on the image, and the defect of the electronic component is detected according tothe color moment difference, so that the positioning time is greatly shortened, the image data processing complexity is reduced, and the detection accuracy and the detection precision are improved.

Description

technical field [0001] The invention relates to the technical field of positioning and detection of electronic components, in particular to a method for positioning and detection of electronic components based on SURF feature matching. Background technique [0002] With the continuous progress and development of modern science and technology, the functions of electronic products are becoming more and more complex, their performance is improved, the size of components is reduced, and the density is increased. Defects such as missing components, offsets, and wrong parts will inevitably occur during the production process of circuit boards. Visual and traditional methods are difficult to detect circuit board components and cannot meet the requirements of practical applications. The use of image matching technology detection methods to realize industrial automation is of great significance for improving product quality and productivity and saving costs. Printed circuit board (P...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the SURF algorithm is applied to the machine vision inspection of electronic components, such as the patent "A SURF-Based High-Density Packaging Component Positioning Method", the application number is: CN201210119476.8, but this patent does not include the circuit The geometric transformation of the board is accurately converted into the coordinates of the components, and the defects of the circuit board are not detected, and the missing components cannot be located. At the same time, the conventional SURF algorithm has a large amount of calculation and is not suitable for online monitoring.

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