Home /Research /Research on Drawing Robot Based on Image Edge Detection
OTHER

Research on Drawing Robot Based on Image Edge Detection

Feng Liu, Lixin Cao, Zibo Sun, Zheng Li

Year
2021
Citations
3

Abstract

This paper selects the outer contour method to describe the image's features and uses industrial robots to draw. Based on the minimum description length, the Gaussian filter in the Canny operator is improved adaptively to ensure edge recognition accuracy. To highlight the primary contour in the process of drawing the image, delete the small areas. We propose an edge thinning algorithm to avoid drawing the same contour twice and obtain the edges with single-pixel width. The broken contours are connected to reduce the time of lifting the pen when the robot is drawing. To avoid contour tracking error resulting in incomplete image rendering, removing the burr points in the image.

Keywords

Computer visionArtificial intelligenceEdge detectionCanny edge detectorComputer scienceRobotPixelRendering (computer graphics)Enhanced Data Rates for GSM EvolutionGaussian filter

Related papers

Browse all OTHER papers