Design of LED grain image recognition and positioning system

Abstract

Abstract LED grain image recognition and location technology is an important technology in LED grain manufacturing and sorting process. Whether the LED grain can be accurately identified and positioned will greatly affect the production speed and efficiency of LED grain. At present, the research on this technology in China is in its infancy. In this paper, a LED grain image recognition and location system based on rectangle detection algorithm is proposed to solve the problem of LED grain image recognition and location. The system uses image grayscale, binarization, edge extraction, contour detection algorithm to process the image of the target image, and uses the matching algorithm and rectangular detection algorithm to identify the LED grain, although the time is short but the accuracy is not enough. Rectangle detection uses two methods to determine contour minima, the getMin() function and the OpenCV library method, using the getMin() function is more appropriate. The LED grain image recognition and positioning system designed in this paper can realize the recognition of LED grain in a simple environment, and can accurately calculate the deflection Angle of LED grain, reducing the time of grain quality detection.