Title :
Study of Punching-Teeth Test Platform Based on Image Processing Technology
Author :
Zhu Yongping ; Cao Shengjun ; Wan Juan
Author_Institution :
Mech. & Electr. Res. & Design Inst., Hubei Univ. of Technol., Wuhan, China
Abstract :
Facing the problem of punching-teeth process accuracy is not high in hardware manufacturing field,this paper discusses image signal collection, pre-processing, object orientation system structure and working thesis of juicer cutter plate in punching-teeth process, based on image real time processing technology. Through CCD collection image information,image mode matching,using maximum intra-class variance heredity method and Roberts edge detection operator, this experiment realizes image threshold segmentation and edge detection. Finally, with analysis, calculating and processing,the object location of punching-teeth is true and accurate.
Keywords :
CCD image sensors; edge detection; image matching; image segmentation; CCD collection image information; Roberts edge detection operator; image mode matching; image processing technology; image threshold segmentation; maximum intra-class variance heredity method; punching-teeth test platform; Charge coupled devices; Hardware; Image edge detection; Image processing; Manufacturing processes; Paper technology; Pulp manufacturing; Real time systems; Signal processing; Testing;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473390