Title :
Generation and Analysis of Material Bag Depth Image Based on Machine Vision
Author :
Zhang Tianhou ; Li Changchun ; Li Guoping ; Yu Jing
Author_Institution :
Sch. of Mech. Eng., Univ. of Jinan, Jinan, China
Abstract :
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.
Keywords :
bags; computer vision; data analysis; robots; data analysis; depth value; gray value; machine vision; material bag depth image analysis; material bag depth image generation; robot; three dimensional shape; woven bag; Building materials; Cameras; Image analysis; Lenses; Machine vision; Robot kinematics; Robot vision systems; Robotics and automation; Shape measurement; Space technology; depth image; depth value; gray value; machine vision; material bag;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.75
