Object-oriented image data model for a knowledge-based image processing system

1993 ◽  
Author(s):  
Yves J. Bizais ◽  
Anne-Marie Forte ◽  
Jeanpierre V. Guedon ◽  
D. Corbard ◽  
F. Calmel ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Model ◽  
Processing System ◽  
Object Oriented ◽  
Image Data ◽  
Image Processing System ◽  
Knowledge Based

scholarly journals Design and implementation of remote image processing system for space launch site

2021 ◽  
Vol 233 ◽  
pp. 04026
Author(s):  
Ma Li ◽  
Wang Bai Yan ◽  
Liu Tao ◽  
WangYu Chao ◽  
Xiang Yu ◽  
...  
Keyword(s):  
Image Processing ◽  
Auxiliary Information ◽  
Processing System ◽  
Image Data ◽  
Image Transmission ◽  
Engineering Practice ◽  
Image Processing System ◽  
Rocket Flight ◽  
Launch Site ◽  
Space Launch

Telemetry image has the characteristics of intuitive image in the process of rocket flight. Through real-time acquisition of rocket flight video image, it can provide the working status of key nodes in the process of rocket flight, and provide intuitive decision-marking auxiliary information for commanders. This paper analyzes the design content of the image processing system of the space launch site from the aspects of image transmission mechanism, information flow, image data processing and image decoding, so as to provide technical basis for the image receiving, transmission and decoding process in the engineering practice of the image processing system.

Design and Realization of Double-Buses Modularized Structure Image Processing System

2011 ◽  
Vol 179-180 ◽  
pp. 257-263
Author(s):  
Biao Zhang ◽  
Yue Huan Wang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Image Data ◽  
Parallel Structure ◽  
Image Processing System ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Data Bus ◽  
Time Image

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.

scholarly journals Embedded Real-Time Image Processing System Based on DM6446+FPGA Architecture

2012 ◽  
Vol 6-7 ◽  
pp. 542-546
Author(s):  
Bao Feng Zhang ◽  
Yi Yang ◽  
Jun Chao Zhu ◽  
Cui Li
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Image Data ◽  
Image Processing System ◽  
Real Time Image Processing ◽  
Fpga Architecture ◽  
Real Time Image ◽  
Output Field ◽  
Time Image

To solve the traditional image processing system problem such as large in size, high power consumption and poor real-time, an embedded real-time image processing system is designed based on TMS320DM6446+FPGA architecture. DM6446 as the core of the system is responsible for the scheduling, image processing algorithms, image output; field programmable gate array (FPGA) is responsible for capturing real-time image data, image preprocessing. The paper describes the principle of the real-time image processing system. The experiment proved that the system can achieve real-time acquisition, processing and output of image data in 20 frames per second.

scholarly journals Distributed Network Image Processing System and Transmission Control Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Pu Zaiyi ◽  
Yang Kun ◽  
Wang Chaobin
Keyword(s):  
Image Processing ◽  
Control Algorithm ◽  
Processing System ◽  
Image Data ◽  
Image Feature ◽  
Distributed Network ◽  
Transmission Control ◽  
Image Processing System ◽  
Original Algorithm ◽  
Reconstruction Performance

With the increasing use of Internet technologies, image data is spreading more and more on the Internet. Whether it is a social network or a search engine, a large amount of image data is generated. By studying the distributed network image processing system and transmission control algorithm, this paper proposes a more accurate gradient calculation method based on the SIFT algorithm. It is concluded that the performance of the proposed algorithm is slightly better than that of the original algorithm, so the system is implemented. On the basis of reducing the performance of the original algorithm, the dimension of the image features is effectively reduced. By comparing the influence of the image retrieval system in the single-machine environment and the distributed environment on the image feature extraction rate, it is proved that the system uses five distributed nodes to construct the image transmission system that achieves the best results in terms of machine cost and system performance. The random Gaussian orthogonal matrix is analyzed with good stability and performance. The OMP algorithm has good convergence and reconstruction performance. The MH-BCS-SPL reconstruction algorithm works best, and the PSNR decreases very smoothly in the process of increasing the packet loss rate from 0.1 to 0.6. The experimental results show that different orthogonal bases behave differently under different images. Overall, the BCS-SPL series algorithm has greatly improved the reconstruction effect compared with the traditional OMP algorithm.

scholarly journals Image Processing Design and Algorithm Research Based on Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Defu He ◽  
Si Xiong
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
Data Processing ◽  
Real Time ◽  
Processing System ◽  
Image Data ◽  
Computing Technology ◽  
Image Processing System ◽  
Real Time Image ◽  
Time Image

Image processing technology is a popular practical technology in the computer field and has important research value for signal information processing. This article is aimed at studying the design and algorithm of image processing under cloud computing technology. This paper proposes cloud computing technology and image processing algorithms for image data processing. Among them, the material structure and performance of the system can choose a verification algorithm to achieve the final operation. Moreover, let us start with the image editing features. This article isolates software and hardware that function rationally. On this basis, the structure of a real-time image processing system based on SOPC technology is built and the corresponding functional receiving unit is designed for real-time image storage, editing, and viewing. Studies have shown that the design of an image processing system based on cloud computing has increased the speed of image data processing by 14%. Compared with other algorithms, this image processing algorithm has great advantages in image compression and image restoration.

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

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