Design and Implementation of a Multi-DSP Processing System

2013 ◽  
Vol 718-720 ◽  
pp. 1361-1364
Author(s):  
Qiang Wu ◽  
Peng Zhao ◽  
Tong Yin ◽  
Qing Shan Liu

A multi-DSP real time image processing system is designed, with TI's TMS320C6455 as core processor as well as Xilinx Virtex5 FPGA for pre-processing and important data channel. The system has completed testing verification and results show that the design is feasible and reliable.

2011 ◽  
Vol 179-180 ◽  
pp. 257-263
Author(s):  
Biao Zhang ◽  
Yue Huan Wang

It is double-buses modularized structure with the combination of system control bus and high speed image data bus which is put forward in this paper. Moreover, the management and distribution of image data bus and the design of system reset procedure are elaborated through which a kind of practical real-time image processing system with the strongest adaptability and capability for structure programming and system expansion. The computing capability in infrared test of small target is greatly improved which is verified in tri DSP model system. According to complex image processing task, through the adjustment of parallel structure of image processing algorithm, the higher parallel efficiency can be realized. So to say, the system structure has a great adjustment to algorithm parallel structure and can be successfully used as a platform for universal real-time image processing.


2006 ◽  
Vol 2 (3) ◽  
pp. 225-228
Author(s):  
Bing-jian Wang ◽  
Shang-qian Liu ◽  
Yu-bao Cheng

2020 ◽  
Vol 16 ◽  

The measurement of surface pressure in wind tunnel or in flight tests gives very important data for aerodynamics analysis. In fact, the pressure measurement gives valuable information about air flow phenomena such as shock, flow separation and boundary layer transition. In this paper a real-time image processing system for pressure sensitive paint (PSP) measurement and calibration has been designed using a calibrated pressure sensor. In the implementation of the system, TCL paper is used to luminaphore inside a windowed enclosure and a factory-calibrated pressure sensor for validation of measurement. The pressure measurement of PSP is based on the images acquired from a CCD camera sent to the MyRIO processor module in which the real-time image processing has been applied. The results are compared with the calibrated sensor from which the A and B coefficients of the Estern Volmer Equation have been calculated. During the several tests done for the pressure measurement, the accuracy of the PSP measurement has been calculated in this paper. Both normal and real-time image processing analysis have been compared as well.


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