Research on Optimization of Edge Detection Algorithm Based on Binocular Camera

Edge detection is one of the core technologies in digital image processing and computer vision, and has been widely applied in fields such as image recognition and remote sensing image processing. This article proposes an optimization scheme for edge detection algorithm, which collects image information through binocular cameras and caches it in memory. After grayscale transformation preprocessing, the classic SOBEL algorithm and optimized SOBEL algorithm are used to extract edge information, obtain binary images, and display them on the LCD screen in real time. Through practical testing, the optimized algorithm can effectively solve the problem of detecting edges that are too coarse in the original algorithm, and improve the accuracy of detection and positioning. This system can be widely applied in fields such as medical imaging and autonomous driving.