Marbling Stone Slab Image Segmentation Based on Election Campaign Algorithm
Qinghua Xie, Xiangwei Zhang, Wenge Lv, Siyuan Cheng
Available Online December 2016.
- https://doi.org/10.2991/mcei-16.2016.109How to use a DOI?
- Marbling; Stone slab; Image segmentation; Edge extraction; Election campaign algorithm
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/mcei-16.2016.109 ID - Xie2016/12 ER -