A large field of view visible cameras image acquisition and processing technology in EAST device

被引：1

作者：

Shu, Shuangbao ^{[1
]}

Liu, Chao ^{[1
]}

Chen, Meiwen ^{[2
]}

Yang, Zhendong ^{[3
]}

Wang, Yong ^{[2
]}

Zhang, Yuzhong ^{[1
]}

Zhang, Jiayuan ^{[2
]}

Zhang, Zuchao ^{[2
]}

机构：

[1] Hefei Univ Technol, Sch Instrument Sci & Optoelect Engn, Hefei 230009, Anhui, Peoples R China

[2] Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Anhui, Peoples R China

[3] Tongling Univ, Tongling 244000, Peoples R China

来源：

FUSION ENGINEERING AND DESIGN | 2019年 / 147卷

基金：

中国国家自然科学基金;

关键词：

EAST; Reflective memory network; Block matching; Scale-invariant feature transform; Image stitching; SYSTEM;

D O I：

10.1016/j.fusengdes.2019.111253

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

A large field of view visible image acquisition and processing system was designed to address the discharge visual needs for estimating the state of plasma operation and the first wall conditions during the plasma discharge of the Experimental Advanced Superconducting Tokamak (EAST) device. The entire system, which consisted of software and hardware, was introduced in detail. Moreover, three sets of the visible camera diagnostic systems with the different field-of-view images acquired by three industrial personal computers (IPCs) were used for forming the large field of view through image stitching. Three IPCs, and data storage and image processing servers are connected by a reflective memory network, which can realize the collection and fast transmission of image data during discharge. In addition, an image stitching algorithm based on block matching scale-invariant feature transformation was adopted. To accelerate the processing of the algorithm, parallelization was achieved by using the Graphics Processing Unit (GPU). Through the mesa test and experimental results, the proposed system provides a feasible way of transmitting and stitching images quickly and fulfills the EAST experimental demands.

引用

页数：8

共 22 条

[1]

Anand H., 2017, NUCL ENG, V57, P7

[2] Automatic panoramic image stitching using invariant features [J].

Brown, Matthew ;

Lowe, David G. .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 2007, 74 (01) :59-73

[3] Development of a real time magnetic island identification system for HL-2A tokamak [J].

Chen, Chao ;

Sun, Shan ;

Ji, Xiaoquan ;

Yin, Zejie .

REVIEW OF SCIENTIFIC INSTRUMENTS, 2017, 88 (08)

[4] Forensic Analysis of SIFT Keypoint Removal and Injection [J].

Costanzo, Andrea ;

Amerini, Irene ;

Caldelli, Roberto ;

Barni, Mauro .

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2014, 9 (09) :1450-1464

[5] Advanced methods for image registration applied to JET videos [J].

Craciunescu, Teddy ;

Murari, Andrea ;

Gelfusa, Michela ;

Tiseanu, Ion ;

Zoita, Vasile ;

Arnoux, Gilles .

FUSION ENGINEERING AND DESIGN, 2015, 96-97 :765-768

[6] Robust image matching based on the information of SIFT [J].

Dou, Jianfang ;

Qin, Qin ;

Tu, Zimei .

OPTIK, 2018, 171 :850-861

[7] Distributed digital real-time control system for TCV tokamak [J].

Le, H. B. ;

Felici, F. ;

Paley, J. I. ;

Duval, B. P. ;

Moret, J. -A. ;

Coda, S. ;

Sauter, O. ;

Fasel, D. ;

Marmillod, P. .

FUSION ENGINEERING AND DESIGN, 2014, 89 (03) :155-164

[8] SIFT Keypoint Removal and Injection via Convex Relaxation [J].

Li, Yuanman ;

Zhou, Jiantao ;

Cheng, An ;

Liu, Xianming ;

Tang, Yuan Yan .

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2016, 11 (08) :1733-1746

[9] SIFT Keypoint Removal via Directed Graph Construction for Color Images [J].

Li, Yuanman ;

Zhou, Jiantao ;

Cheng, An .

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2017, 12 (12) :2971-2985

[10] Distinctive image features from scale-invariant keypoints [J].

Lowe, DG .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 60 (02) :91-110

← 1 2 3 →