Abstract

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 factories’ 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.

Keywords:

Online detection, rectangle ceramic tile, valley detection, vector corner,

References

Competing interests

The authors have no competing interests.

Open Access Policy

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Copyright

The authors have no competing interests.