A Method for Measuring Bubble Diameter Distribution in Gas-Liquid Agitated Vessel under High Gas Hold-Up Using Real-Time High-Speed Image Processing System.

1998 ◽  
Vol 31 (3) ◽  
pp. 366-373 ◽  
Author(s):  
Mitsuo Kamiwano ◽  
Meguru Kaminoyama ◽  
Kazihiko Nishi ◽  
Daigo Shirota
Keyword(s):  
Image Processing ◽  
Real Time ◽  
High Speed ◽  
Bubble Diameter ◽  
Processing System ◽  
Diameter Distribution ◽  
Image Processing System ◽  
Agitated Vessel ◽  
High Speed Image Processing

A Design of Real-Time Image Processing Platform Based on TMS320C6678

2014 ◽  
Vol 971-973 ◽  
pp. 1454-1458
Author(s):  
Lei Qu ◽  
Yan Tian ◽  
Jun Liu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
High Speed ◽  
Processing System ◽  
Large Field ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
High Speed Image Processing ◽  
Processing Platform ◽  
Time Image

For real time target detection, identification and tracking in high frame rates, large field of view images, a real-time image processing system is designed. A TMS320C6678 DSP runs as the chief arithmetic processor of this system and FPGA as the secondary controller. C6678 is compared with the same series C6414 in image compression algorithm test. Experimental results show that the new system has a more effective construct, and higher reliability, and can provide a platform for the new high-speed image processing.

High-speed image processing system and its micro-optics application

2003 ◽  
Author(s):  
Kohtaro Ohba ◽  
Jesus C. P. Ortega ◽  
Tamio Tanikawa ◽  
Kazuo Tanie ◽  
Kenji Tajima ◽  
...  
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Processing System ◽  
Image Processing System ◽  
Micro Optics ◽  
High Speed Image Processing

RAPAC: a high-speed image-processing system

1987 ◽  
Vol 134 (1) ◽  
pp. 39 ◽  
Author(s):  
A.C. Elphinstone ◽  
A.P. Heron ◽  
G.S. Hobson ◽  
A. Houghton ◽  
M.K. Lau ◽  
...  
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Processing System ◽  
Image Processing System ◽  
High Speed Image Processing

FLI Co-Simulation Applied and Realized in Rail Profile Automatic Detection System

2012 ◽  
Vol 443-444 ◽  
pp. 71-76
Author(s):  
Lei Chen ◽  
Xiao Yan Tian ◽  
Jiao Pang
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Detection System ◽  
High Reliability ◽  
Processing System ◽  
Technical Solution ◽  
Image Processing System ◽  
Automatic Detection System ◽  
High Flexibility ◽  
High Speed Image Processing

High speed image processing has a dilemma of that software-based approach lock real-time property while hardware-based approach has high modeling complexity. In order to solve above problem, this paper adopted the technical solution of Modelsim co-simulation with foreign language interface (FLI). Co-simulation technology, combining with rail sections image processing system as simulation platform, comprehensive using C language’s high flexibility in data processing , Modelsim’s high reliability in simulate FPGA, and take use of dynamic partially allocation methods, heavy effectively reduced the complexity of image processing system and storage space. Practice proves, this means provide a reliable basis for scheme verification of FPGA image processing system.

The Weld Image Acquisition and Preprocessing Based on FPGA

2013 ◽  
Vol 401-403 ◽  
pp. 1507-1513 ◽  
Author(s):  
Zhong Hu Yuan ◽  
Wen Tao Liu ◽  
Xiao Wei Han
Keyword(s):  
Image Processing ◽  
Real Time ◽  
High Speed ◽  
High Performance ◽  
Image Acquisition ◽  
Processing System ◽  
Large Data ◽  
Seam Tracking ◽  
Image Processing System ◽  
Time Requirements

In the weld image acquisition system, real-time image processing has been a difficult design bottleneck to break through, especially for the occasion of large data processing capability and more demanding real-time requirements, in which the traditional MCU can not adapt, so using high-performance FPGA as the core of the high speed image acquisition and processing card, better meets the large amount of data in most of the image processing system and high demanding real-time requirements. At the same time, system data collection, storage and display were implemented by using Verilog, and in order to reducing the influence of edge detection noise, the combination of image enhancement and median filtering image preprocessing algorithm was used. Compared to the pre-processing algorithm of the software implementation, it has a great speed advantage, and simplifies the subsequent processing work load, improves the speed and efficiency of the entire image processing system greatly. So it proves that the system has strong ability of restraining the noise of image, and more accurate extracted edge positioning, it can be applied in the seam tracking field which need higher real-time requirements.

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