scholarly journals RealTimeFrame – A Real Time Processing Framework for Medical Video Sequences

10.14311/981 ◽  
2008 ◽  
Vol 48 (3) ◽  
Author(s):  
S. Gross ◽  
T. Stehle
Keyword(s):  
Real Time ◽  
High Performance ◽  
Image Data ◽  
Computer Hardware ◽  
Software Framework ◽  
Real Time Processing ◽  
Video Signals ◽  
Full Screen ◽  
Time Image ◽  
Processing Steps

Imaging technology is highly important in today’s medical environments. It provides information upon which the accuracy of the diagnosis and consequently the wellbeing of the patient rely. Increasing the quality and significance of medical image data is therefore one the aims of scientific research and development. We introduce an integrated hardware and software framework for real time image processing in medical environments, which we call RealTimeFrame. Our project is designed to offer flexibility, easy expandability and high performance. We use standard personal computer hardware to run our multithreaded software. A frame grabber card is used to capture video signals from medical imaging systems. A modular, user-defined process chain performs arbitrary manipulations on the image data. The graphical user interface offers configuration options and displays the processed image in either window or full screen mode. Image source and processing routines are encapsulated in dynamic library modules for easy functionality extension without recompilation of the entire software framework. Documented template modules for sources and processing steps are part of the software’s source code.

Improving Real-Time Image-Data Quality With A Telemetry Model

2012 ◽  
Vol 27 (03) ◽  
pp. 383-392 ◽  
Author(s):  
Andreas Hartmann ◽  
Oleg Akimov ◽  
Stephen Morris ◽  
Christian Fulda
Keyword(s):  
Data Quality ◽  
Real Time ◽  
Image Data ◽  
Real Time Image ◽  
Time Image

scholarly journals Stick Based Speckle Reduction for Real-Time Processing of OCT Images on an FPGA

10.14311/984 ◽  
2007 ◽  
Vol 47 (4-5) ◽  
Author(s):  
H. Luecken ◽  
G. Tech ◽  
R. Schwann ◽  
G. Kappen
Keyword(s):  
Real Time ◽  
Frame Rate ◽  
Speckle Reduction ◽  
Image Artifacts ◽  
Single Chip ◽  
Throughput Rate ◽  
Real Time Processing ◽  
Time Processing ◽  
Envelope Detection ◽  
Processing Steps

This paper presents an FPGA based real-time implementation of an adaptive speckle reduction algorithm. Applied to the log-compressed image of a high-resolution optical coherence tomography (OCT) system, all related signal processing steps from envelope detection to VGA video signal generation are executed on a single chip. Images from measured OCT data show that the chosen algorithm produces a smooth, detailed image with fewer image artifacts than comparable approaches. An estimation of the hardware effort, the possible throughput rate and the resulting image frame rate is given for different window sizes used here in speckle reduction. 

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.

Application of Computer Control in the Angular Distortion Measurement System

2013 ◽  
Vol 380-384 ◽  
pp. 923-926
Author(s):  
Ming Hui Zhang ◽  
Yao Yu Zhang
Keyword(s):  
Control System ◽  
Real Time ◽  
Measurement System ◽  
Computer Control ◽  
Angular Distortion ◽  
Computer Control System ◽  
Video Signals ◽  
Real Time Measurement ◽  
Miss Distance ◽  
Time Image

A new real-time angular distortion measurement system, composed of devices i.e. the photoelectrical auto-collimating collimator and the reflex light-tube installed on deck, is developed in this paper. Real-time measurement of vessels bi-dimensional angular distortion is achieved by using this computer control system. Two video signals of photoelectrical auto-collimating collimators are received by the computer control system, and real-time image processing is done to obtain the dynamic miss distance. Then relative distortion of vessel is calculated by overlying measuring results of these two-way images.

scholarly journals Interactive Light Stimulus Generation with High Performance Real-Time Image Processing and Simple Scripting

2017 ◽  
Vol 11 ◽  
Author(s):  
László Szécsi ◽  
Ágota Kacsó ◽  
Günther Zeck ◽  
Péter Hantz
Keyword(s):  
Image Processing ◽  
Real Time ◽  
High Performance ◽  
Light Stimulus ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Stimulus Generation ◽  
Time Image

scholarly journals An Effective Algorithm for Denoising Salt-And-Pepper Noise in Real-Time

2020 ◽  
pp. 14-27
Author(s):  
Obed Appiah ◽  
James Benjamin Hayfron-Acquah ◽  
Michael Asante
Keyword(s):  
Real Time ◽  
High Performance ◽  
State Of The Art ◽  
Median Filter ◽  
Image Data ◽  
Poor Performance ◽  
Relevant Information ◽  
Salt And Pepper Noise ◽  
Running Time ◽  
Salt And Pepper

For computer vision systems to effectively perform diagnoses, identification, tracking, monitoring and surveillance, image data must be devoid of noise. Various types of noises such as Salt-and-pepper or Impulse, Gaussian, Shot, Quantization, Anisotropic, and Periodic noises corrupts images making it difficult to extract relevant information from them. This has led to a lot of proposed algorithms to help fix the problem. Among the proposed algorithms, the median filter has been successful in handling salt-and-pepper noise and preserving edges in images. However, its moderate to high running time and poor performance when images are corrupted with high densities of noise, has led to various proposed modifications of the median filter. The challenge observed with all these modifications is the trade-off between efficient running time and quality of denoised images. This paper proposes an algorithm that delivers quality denoised images in low running time. Two state-of-the-art algorithms are combined into one and a technique called Mid-Value-Decision-Median introduced into the proposed algorithm to deliver high quality denoised images in real-time. The proposed algorithm, High-Performance Modified Decision Based Median Filter (HPMDBMF) runs about 200 times faster than the state-of-the-art Modified Decision Based Median Filter (MDBMF) and still generate equivalent output.

scholarly journals Interactive Light Stimulus Generation with High Performance Real-time Image Processing and Simple Scripting

2016 ◽  
Vol 10 ◽  
Author(s):  
Hantz P�ter ◽  
Kacs� �gota ◽  
Zeck G�nther ◽  
Sz�csi L�szl�
Keyword(s):  
Image Processing ◽  
Real Time ◽  
High Performance ◽  
Light Stimulus ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Stimulus Generation ◽  
Time Image
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