RGB vector matching rapid-recognition system and method

Abstract

The invention discloses an RGB vector matching rapid-recognition system. The RGB vector matching rapid-recognition system comprises an image obtaining module, a storage module, a matching module and a detection module, wherein the image obtaining module is used for obtaining an image to be recognized, the storage module is used for storing a template image and the obtained image to be recognized, the matching module is used for moving the template image, searching for a unit which is matched with the template image in the image to be recognized, and using the quaternion correlation to judge whether an object which is the same as a template object in shape, size, color and brightness exists, and the detection module judges the degree of matching between the image to be recognized and the template image according to the calculation result of the matching module, and detects whether a PCB has the welding spot defect or not. The RGB vector matching rapid-recognition system and method are small in amount of calculation, the relevance between colors cannot be destroyed, and accuracy is high.

Description

technical field [0001] The invention relates to the field of PCB defect detection in color image processing and precision electronic assembly process, in particular to a RGB vector matching rapid identification system and method suitable for color image processing. Background technique [0002] In the modern electronics industry, the printed circuit board (PCB) is used as the carrier of electronic components, and its placement quality directly affects the performance of the product. In the actual production process, PCB defects are inevitable due to uncertain factors such as raw materials, equipment stability, temperature, and human error. Therefore, in order to ensure that the quality of the PCB meets the standards, the PCB welding quality must be inspected. [0003] There are many kinds of PCB defects. Common component placement defects, such as wrong parts and missing parts, only involve two-dimensional information, which can be effectively detected only by grayscale imag...

AI Technical Summary

Problems solved by technology

The traditional color image matching method divides the image into three components (RGB), regards the image of each component as a grayscale image, performs matching processing in each component, and then synthesizes the final image according to the weight value of each color However, this color image matching method artificially destroys the correlation between the colors of the color image, which affects the accuracy and robustness of the matching algorithm to varying degrees, and performs matching processing on the three components respectively, and calculates volume increase

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