A full-hardware edge detection system based on a highly robust dual random number generator
Conventional edge computing hardware at autonomous driving terminals is limited by chip area and power efficiency for complex image data. Recently, researchers have used memristors to construct dedicated hardware systems, achieving advancements in multiple image processing fields such as pattern recognition and edge de...