Pattern Recognition Algorithm of Ceramic Products Based on Machine Vision

Authors

  • Yu Nie* , Chao Li, Kaihua Hu, Jinjing Ma, Qingyu Zhang

Abstract

There are few researches on the segmentation of ceramic pattern image. The research on pattern
recognition mainly focuses on the use of image processing methods for recognition. However, due to the
randomness of the texture of the ceramic with patterns, it is difficult to study the detection algorithm.
Therefore, although the traditional methods have achieved certain results, the accuracy of ceramic pattern
detection is still not high for complex patterns. According to this, in view of the differences of ceramic
surface color characteristics, this paper proposes a ceramic pattern recognition algorithm based on Gaussian
mixture model. This method is a segmentation method based on statistical pattern recognition, which has the
characteristics of rapidity and adaptability. The experimental results show that the method has good
segmentation effect for ceramic image, and can extract ceramic patterns well.

Published

2020-03-31

Issue

Section

Articles