Research on an Automatic Counting Method for Steel Bars´ Image

Author

Ying, Xin ; Wei, Xue ; Pei-xin, Yuan ; Qing-da, Han ; Chang-hai, Chen

Author_Institution

Coll. of Eng. & Technol., Northeast Forestry Univ., Harbin, China

fYear

2010

fDate

25-27 June 2010

Firstpage

1644

Lastpage

1647

Abstract

A method for automatic segmentation of steel bars´ image is put forward to solve the counting problems of steel bars in the steel factories at present. The approximate radius of steel bar is measured by chain coding. The edges of steel bars are detected by Sobel operator, and separation of steel bars and background is carried out by Otsu method. Then the improved Hough transformation is adopted in the image of steel bars in order to accumulate the gray values, and the locations of steel bars are got by the threshold segmentation, then max. gray values in a region are founded. After experiments, the accurate counting method of approximate circle images such as steel bars is realized.

Keywords

Hough transforms; image segmentation; steel; steel industry; Hough transformation; Otsu method; automatic counting method; automatic segmentation; chain coding; gray values; steel bars image; steel factories; threshold segmentation; Bars; Canning; Digital images; Image edge detection; Image segmentation; Production facilities; Steel; Hough transformation; Otsu; Sobel operator; Steel bars;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6880-5

Type

conf

DOI

10.1109/iCECE.2010.405

Filename

5631510