Adaptive Image Edge Extraction Based on Discrete Algorithm and Classical Canny Operator

In order to improve the accuracy of image edge detection, this paper studies the adaptive image edge detection technology based on discrete algorithm and classical Canny operator. First, the traditional sub-pixel edge detection method is illustrated based on the related literature research. Then, Canny operator is used for detection, the edge model of the quadric curve is established using discrete data, and the adaptive image edge parameters are obtained using one-dimensional gray moment. Experimental results show that the accuracy of feature detection is 99%, which can be applied to the practice of image edge detection to a certain extent.

SCANNING MEASURING SYSTEM BASED ON TRIANGULAR LASER RANGEFINDER

A scanning laser range finder that provides distance measurement up to 10 m with an accuracy of 0.01 m for 360-degree circular scanning of space is described. Using the triangulation principle with a multi-element photodetector allows to creating a small-sized laser measuring system for robotic platforms for industrial and special purposes. Using the microcontroller allows to rationally implementing the discrete algorithm of the system in a given sector of space.