Formulation and computation of particle shape in stone producing

doi:10.3778/j.issn.1002-8331.2009.10.061

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (10): 202-203.DOI: 10.3778/j.issn.1002-8331.2009.10.061

• 工程与应用 • Previous Articles Next Articles

Formulation and computation of particle shape in stone producing

YANG Bo¹,DUAN Ji-an²,ZHENG Yu²

1.Institute of Image Recognition and Computer Vision，Hunan Normal University，Changsha 410081，China
2.College of Mechanic & Electric Engineering，Central South University，Changsha 410083，China

Received:2008-02-18 Revised:2008-04-25 Online:2009-04-01 Published:2009-04-01
Contact: YANG Bo

石料加工过程中颗粒粒性表示与计算

阳波¹,段吉安²,郑煜²

1.湖南师范大学图像识别与计算机视觉研究所，长沙 410081
2.中南大学机电工程学院，长沙 410083

通讯作者: 阳波

Abstract

Abstract: Particle shape of stone is very important in stone producing.Sizes of the products of stone as well as their shapes are requested to be made equally.Nowadays many research institutions have focused on the computer vision technology replacing the manual control and have made a lot of obvious progresses.After studying the formulation of particle shape within stone producing，a new statistical model of particle shape is designed and a computer vision system which can automatically control production fabrication is developed.

Key words: stone material, computer vision, particle, image separating

摘要： 石料加工生产过程中石料粒性的质量是非常重要的，石料成品通常要求粒度大小均匀，粒形好。目前许多研究机构采用计算机视觉技术代替传统人工控制取得了良好监控效果。根据对传统石料生产工业流程与粒度表示模型的研究，建立了粒度形状的统计模型，在此基础上开发了一套自适应控制的计算机视觉系统，实现了对生产线的自动监视和控制。

关键词: 石料, 计算机视觉, 颗粒粒度, 图像分割

YANG Bo¹,DUAN Ji-an²,ZHENG Yu². Formulation and computation of particle shape in stone producing[J]. Computer Engineering and Applications, 2009, 45(10): 202-203.

阳波¹,段吉安²,郑煜². 石料加工过程中颗粒粒性表示与计算[J]. 计算机工程与应用, 2009, 45(10): 202-203.

[1]	XU Hao, ZHANG Kai, TIAN Yingjie, CHONG Faguang, WANG Zichao. Review of Deep Neural Network-Based Image Caption [J]. Computer Engineering and Applications, 2021, 57(9): 9-22.
[2]	RAN Rong, XU Xinghua, QIU Shaohua, CUI Xiaopeng, OUYANG Bin. Review of Crack Detection Methods Based on Deep Convolutional Neural Networks [J]. Computer Engineering and Applications, 2021, 57(9): 23-35.
[3]	SUN Zeyu, XU Chen, SU Yanchao, LI Chuanfeng, NIE Yalin. CCRP：Cross-Layer-Sensing Clustering Routing Protocol in Fog Computing [J]. Computer Engineering and Applications, 2021, 57(9): 109-117.
[4]	XU Degang, WANG Lu, LI Fan. Review of Typical Object Detection Algorithms for Deep Learning [J]. Computer Engineering and Applications, 2021, 57(8): 10-25.
[5]	SHI Chuntian, ZENG Yanyang, HOU Shouming. Summary of Application of Swarm Intelligence Algorithms in Image Segmentation [J]. Computer Engineering and Applications, 2021, 57(8): 36-47.
[6]	LI Mingshan, HAN Qingpeng, ZHANG Tianyu, WANG Daolei. Safety Helmet Detection Method of Improved SSD [J]. Computer Engineering and Applications, 2021, 57(8): 192-197.
[7]	XIAO Yuqing, YANG Huimin. Research on Application of Object Detection Algorithm in Traffic Scene [J]. Computer Engineering and Applications, 2021, 57(6): 30-41.
[8]	LI Jingxing, YANG Youlong. Feature Selection of Markov Blanket for High Dimensional Data [J]. Computer Engineering and Applications, 2021, 57(6): 58-66.
[9]	LI Zhongdao, LIU Yuansheng, CHANG Feixiang, ZHANG Jun, LU Ming. Research on UWB and LiDAR Fusion Positioning Algorithm in Indoor Environment [J]. Computer Engineering and Applications, 2021, 57(6): 260-266.
[10]	ZHU Jiaying, GAO Maoting. AUV Path Planning Based on Particle Swarm Optimization and Improved Ant Colony Optimization [J]. Computer Engineering and Applications, 2021, 57(6): 267-273.
[11]	YUAN Mingyang, HUANG Hongbo, ZHOU Changsheng. Research Progress of Image Semantic Segmentation Based on Fully Supervised Learning [J]. Computer Engineering and Applications, 2021, 57(4): 43-54.
[12]	HU Xiaomin, WANG Mingfeng, ZHANG Shourong, LI Min. New Differential Evolution with Particle Swarm Optimization Algorithm for Text Clustering [J]. Computer Engineering and Applications, 2021, 57(4): 61-67.
[13]	PENG Jing, LUO Haoyu, ZHAO Gansen, LIN Chengchuang, YI Xusheng, CHEN Shaojie. Survey of Medical Image Segmentation Algorithm in Deep Learning [J]. Computer Engineering and Applications, 2021, 57(3): 44-57.
[14]	LIN Shubin, WU Guishan, XU Jiayun, YANG Wenyuan. Multi-frame Surveillance of Correlation Filter in UAV Object Tracking [J]. Computer Engineering and Applications, 2021, 57(24): 152-160.
[15]	WANG Jiayue, SHI Li. Research on Path Optimization and Charging Strategy of Electric Refrigerated Vehicle Considering Cost of Battery Capacity Degradation [J]. Computer Engineering and Applications, 2021, 57(24): 283-289.

Formulation and computation of particle shape in stone producing

石料加工过程中颗粒粒性表示与计算

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics