scholarly journals Development of the Real-time Radar Image Processing for a Horizontal Drilling Machine

2005 ◽  
Vol 58 (5) ◽  
pp. 475-490 ◽  
Author(s):  
Takaharu Nakauchi ◽  
Toshimitsu Nozu ◽  
Morio Suzuki ◽  
Shin'ichi Uesaka ◽  
Ikuo Arai
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Radar Image ◽  
Drilling Machine ◽  
Horizontal Drilling ◽  
The Real

Digital Image Zero-Watermarking Algorithm Based on Improved Wavelet Moment

2013 ◽  
Vol 347-350 ◽  
pp. 3232-3236
Author(s):  
Zheng Bao Zhang ◽  
Chao Jia
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Real Time ◽  
Digital Watermarking ◽  
Digital Image ◽  
Image Rotation ◽  
The Real ◽  
Geometric Attacks ◽  
Zero Watermarking ◽  
Local Distortions

Lots of anti-RST attacks watermarking algorithms have been proposed, but few solutions for local geometric attacks, in this paper it proposed a new algorithm combined with the the Wavelet Moment for an anti-geometric attacks. Since wavelet moment was proposed, it is widely used in the field of computer vision, image processing, but the large amount of computation must be improved to be applied to digital watermarking technology so that it can adapt to the real-time detection of digital watermarking. By image rotation, scaling, translation, shear, local distortions, filtering attack operations and so on, these attacks can be seen that the algorithm has good robustness, and the efficiency of watermark detection is relatively high. The experiments show that the algorithm is robustness, greatly accelerate the speed of operation, to unify the robust and efficient.

DESIGN AND EVALUATION OF A NEW ELECTROPHORETIC MOBILITY MEASUREMENT INSTRUMENT USING MICROELECTROPHORESIS SYSTEM WITH IMAGE PROCESSING METHOD

2017 ◽  
Vol 29 (05) ◽  
pp. 1750036
Author(s):  
Boon Yew Teoh ◽  
Misni Misran ◽  
Zhi Zhang Tan ◽  
Poh Foong Lee
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Electrophoretic Mobility ◽  
Bone Cells ◽  
Ph Value ◽  
Processing Method ◽  
Yeast Cells ◽  
Polystyrene Microsphere ◽  
The Real ◽  
Image Processing Method

Electrophoretic mobility (EPM) measurement on biological particles in fluids is well established. The current method in measuring EPM is using laser which the target particles are not visible. Additional morphology information is critical for the EPM measurement. Image processing is a promising method to obtain the EPM together with the morphology information. In this study, a setup of micro electrophoresis system with a compact CCD microscope was constructed. This setup was equipped with image processing method for capturing the images of the moving particles in an electric field. With the image processing method (Horn–Schunck method), the images captured were processed in real time to obtain the EPM of the particle. Velocity of the particles was then measured and the particles’ EPM was obtained. With the captured images of the particles in real time, the system can present the image of the targeted particle together with the EPM value. The setup of this prototype was calibrated with discrete particles (Polystyrene microsphere size of 10[Formula: see text][Formula: see text]m[Formula: see text] 5%) and with a magnification value of 125[Formula: see text]X. This system is suitable for the surface charge measurement of discrete particle with size in between 4[Formula: see text][Formula: see text]m and 20[Formula: see text][Formula: see text]m. Comparison of commercialized device with our laboratory setup for calibration on EPM of polystyrene beads had a variance of solely 13%. Measurement on yeast cells, normal (hFob 1.19) and cancer bone cells (U2OS) indicated that the EPM of yeast became highly negative in the pH value of 4.5 and 6.5. The negative EPM of the cancer cell is slightly larger than that of the normal cell for pH ranging from 4.4 to 5.0. In conclusion, the real-time EPM measurement set up for this study is able to display the real-time images of the moving particles in fluid suspension during measurement.

Foreign Object Debris Detection on the Runway Based on Wavelet Method

2013 ◽  
Vol 427-429 ◽  
pp. 1658-1661 ◽  
Author(s):  
Xiao Jing Guo ◽  
Xue You Yang ◽  
Zhi Jing Yu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Wavelet Transformation ◽  
Characteristic Point ◽  
Processing System ◽  
Foreign Object ◽  
Wavelet Method ◽  
The Real ◽  
System A ◽  
Visual Background

Depending on image processing system, a major sub-system in foreign object debris (FOD) detecting system on the runway, FOD image will be observed efficiently and rapidly with few economy costs and highly accuracy and reliability so as to ensure the passengers safety. The thesis analyses the characteristics and principles of wavelet transformation and applies the theory in image processing under poor visual background for identifying the FODs shape and mark characteristic point on the runway by programming in MATLAB. Besides that, it brings about profound significance for realizing the real-time detecting on the FOD and testing the feasibility and efficiency.

A Data Parallel Implementation Scheme of Geometric Operations

2014 ◽  
Vol 519-520 ◽  
pp. 719-723
Author(s):  
Guang Wang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Digital Image Processing ◽  
Digital Image ◽  
Parallel Implementation ◽  
Computation Complexity ◽  
The Real ◽  
Data Parallel ◽  
Implementation Scheme ◽  
Time Requirements

A data parallel implementation of geometric operations is proposed and conclusions are proved. It shows that the computation complexity of data parallel implementation scheme presented in this paper is Ο(M+N). It can be used to improve the efficiency of geometric operations and can easily meet the real time requirements of the digital image processing.

Research on ROI Image Processing Technology of Teleoperation Construction Robot Based on Trinocular Stereo Vision

2011 ◽  
Vol 130-134 ◽  
pp. 2581-2584
Author(s):  
Ming De Gong ◽  
Bo Tian ◽  
Yue Ning ◽  
Wei Wei Li
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Three Dimensional ◽  
Image Data ◽  
Robot System ◽  
The Real ◽  
Human Eye ◽  
Long Time ◽  
Calibration Algorithm

Digital image has a large quantity of image data and long time for transmitting. It affects the real-time of the teleoperation robot system. According to the basic principle of human eye identifying objects and image blurry processing, a new image processing method of simulating human eye range of interest (ROI) is proposed. The method uses the calibration algorithm of three-dimensional stereo target and the Gauss blurred principle. The non-ROI region is blurred to hierarchy for extracting the feature and measurement to finish the image processing tasks. The experimental results showed that the quality of the images was assured and the transmission time was shorted. The real-time of the teleoperation robot system was also guaranteed.

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