Marbling Stone Slab Image Segmentation Based on Election Campaign Algorithm

DOI

10.2991/mcei-16.2016.109How to use a DOI?

Keywords

Marbling; Stone slab; Image segmentation; Edge extraction; Election campaign algorithm

Abstract

Detecting irregularly shaped raw material is the most rudimentary problem of cutting and nesting process in natural stone production plant. The threshold segmentation and background subtraction method could achieve the segmentation of stone slab on the wooden platform in mostÿofÿtheÿcases. But when the stone slab is marbling, these methods do not work. Based on the grey scale feature analysis and Election Campaign Algorithm, optimization mathematical model is used to detect the threshold in small area. Segmentation find out the edge of each areas, connect all these edge and the edge of whole stone slab will be find. This new detection method is proposed and gets the better utilization rate method for production. The results show that the method has a good applicability to the irregularly shape, and has a high operational characteristics to achieve the object of shaping the stone slab with high precision.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qinghua Xie
AU  - Xiangwei Zhang
AU  - Wenge Lv
AU  - Siyuan Cheng
PY  - 2016/12
DA  - 2016/12
TI  - Marbling Stone Slab Image Segmentation Based on Election Campaign Algorithm
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 527
EP  - 531
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.109
DO  - 10.2991/mcei-16.2016.109
ID  - Xie2016/12
ER  -