Title :
The study of detecting barrel eccentric hole based on machine vision technology
Author :
Fan, Yu ; Wu, Xue-feng
Author_Institution :
Coll. of Mech. & Power Eng., Henan Polytech. Univ., Jiaozuo, China
Abstract :
Positioning technology based on machine vision technology is proposed for poisonous liquid automatic filling machine barrels. Barrel image is collected by CCD sensor and processed with the image edge detection technology to separate the barrels image from background. Hough transform method is used to get the position of the hole of barrel in the pixel coordinate, after coordinate transform, the actual position is obtained in space coordinates. Finally, Stepping motor is droved by stepping drive system to located the actual position of the hole of barrel and achieve the automatic positioning.
Keywords :
CCD image sensors; Hough transforms; computer vision; containers; edge detection; filling; image resolution; object detection; production engineering computing; stepping motors; CCD sensor; Hough transform method; barrel eccentric hole detection; image edge detection technology; machine vision technology; pixel coordinate transform; poisonous liquid automatic filling machine barrels; positioning technology; stepping drive system; stepping motor; Couplings; Educational institutions; Filling; Image edge detection; Machine vision; Motor drives; Transforms; hough transform; machine vision; stepping motor;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100724