Generation and Analysis of Material Bag Depth Image Based on Machine Vision
It is easy to be out of shape and deviation from original location after woven bag with loading. According to the characteristics, a new method is proposed to recognize technology of material bag image based on machine vision. The paper generates and analyzes the depth image of material bag, and the depth value can reflect the distance between material bag and the camera baseline. Through the analysis of experimental data, we obtain the function relationship between the gray value and depth value. It can provide a theoretical basis that the robot recognizes automatically the three-dimensional shape of material bag.
material bag machine vision depth image gray value depth value
Zhang Tianhou Li Changchun Li Guoping Yu Jing
School of Mechanical Engineering, University of Jinan, Jinan 250022, China
国际会议
长沙
英文
1476-1479
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）