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

fYear

2010

fDate

22-23 May 2010

Firstpage

1

Lastpage

3

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IWISA.2010.5473390

Filename

5473390