Home           Contact us           FAQs           
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
2013 (Vol. 6, Issue: 06)
Article Information:

Online Detection Approach for Rectangle Ceramic Tile Based on Sequenced Scenery Image

Yang Lei, Yanjun Li, Liyang Liu and Wei Liu
Corresponding Author:  Yang Lei 

Key words:  Online detection, rectangle ceramic tile, valley detection, vector corner, , ,
Vol. 6 , (06): 969-973
Submitted Accepted Published
December 28, 2012 February 22, 2013 June 30, 2013

Image based ceramic tile detection is a way to labor liberation in the production process of ceramic tile. Shapes of ceramic tiles studied in this study are rectangle with different sizes. Many existed researches are based on a situation that only a piece of tile goes through special rail one time, resulting in one or less piece of tile hold in the image from CCD sensor. But in fact, multiple tiles with the same sizes run in a row simultaneously at most factoriesí rails, and a 'scenery' image is obtained from CCD sensor. And the image processing method based on close-up images is not satisfied in such cases. To detect different rectangle ceramic tiles online according to a sequence of scenery images, this study provide a vector corner method to decide the rectangle tiles with known size information, and a valley detection method via key-image-frames strategy to distinguish the first row in images. Finally, our Online Approach for Rectangle Tile Detection (OARTD) was embedded into a detection system and applied to a factory; testing results validated its good performance. Indeed, the use of such an automatic system, to control a tile plant for shape classifying has a good prospect.
Abstract PDF HTML
  Cite this Reference:
Yang Lei, Yanjun Li, Liyang Liu and Wei Liu, 2013. Online Detection Approach for Rectangle Ceramic Tile Based on Sequenced Scenery Image.  Research Journal of Applied Sciences, Engineering and Technology, 6(06): 969-973.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved