Affiliation:
1. School of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun, China
2. School of Physics, Northeast Normal University, Changchun, China
Abstract
An edge detection method based on projection transformation is proposed. First, the vertical projection transformation is carried out on the target point cloud. Data
and data
are normalized to the width and height of the image, respectively. Data
is normalized to the range of 0-255, and the depth represents the gray level of the image. Then, the Canny algorithm is used to detect the edge of the projection transformed image, and the detected edge data is back projected to extract the edge point cloud in the point cloud. Evaluate the performance by calculating the normal vector of the edge point cloud. Compared with the normal vector of the whole data point cloud of the target, the normal vector of the edge point cloud can well express the characteristics of the target, and the calculation time is reduced to 10% of the original.
Funder
Jilin Provincial Department of Education
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
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