Coordinate transform is the core technology in Digital Scan Conversion (DSC) of B-mode ultrasonic, and its speed mostly determines the frame rate of Bmode imaging. In the traditional coordinate transform process, u...
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Coordinate transform is the core technology in Digital Scan Conversion (DSC) of B-mode ultrasonic, and its speed mostly determines the frame rate of Bmode imaging. In the traditional coordinate transform process, ultrasonic echo data is converted from polar coordinate to rectangular directly;the process is time-consuming and the data is unsuitable for posttreatment In this paper, we employed the CORDIC Algorithm in coordinate transform. We compared the conventional radix-2 CORDIC algorithm with the improved radix-4 CORDIC algorithm and found the later saved half iterations at the same frequency. What's more, radix-4 CORDIC algorithm had smaller hardware consumption when using the pipelined structure. These results revealed that radix-4 CORDIC is an excellent method for high-speed DSC of B-mode ultrasonic.
In this paper, we propose a novel method with Kolmogorov entropy to extract the feature of eventrelated EEG. The results show that the Kolmogorov entropy can effectively quantify the dynamic process of event-relate...
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In this paper, we propose a novel method with Kolmogorov entropy to extract the feature of eventrelated EEG. The results show that the Kolmogorov entropy can effectively quantify the dynamic process of event-related desynchronization/synchronization (ERD/ERS) time course of EEG in relation to hand movement imagination. The relative increase and decrease of Kolmogorov entropy could be an indicator of ERD/ERS. To testify the validity of Kolmogorov entropy measure, the method is tested on five human subjects for feature extraction to classify the left- and right-hand motor imagery by Support Vector Machine (SVM) classifier. An average accuracy and mutual information of 91.5% and 0.5374 are obtained, which highly outperforms the commonly used method of AR model. The results confirm that Kolmogorov entropy analysis may improve accuracy for classification of motor imagery tasks, and have applications to performance improvement of brain-computer interface (BCI) systems.
Phase unwrapping (PU) is the process of recovering the absolute phase φ from the wrapped phase ψ. PU is the one of the most important step of the interferometry SAR processing for calculation of DEM, and can be appl...
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Phase unwrapping (PU) is the process of recovering the absolute phase φ from the wrapped phase ψ. PU is the one of the most important step of the interferometry SAR processing for calculation of DEM, and can be applied to other field, such as MRI medical image. This paper presents comparison two algorithms for two dimensional phase unwrapping based on network programming, namely PUMA and CUNWRAP. The PUMA (Phase Unwrapping Maximum Flow), PUMA has first order Markov Random Fields used for the energy minimization framework. PUMA algorithm solves integer optimization problems, by computing a sequence of binary optimizations, solved by graph cuts techniques for PU max-flow/min-cut. PUMA is the minimum L p norm or Global class of PU problem. CUNWRAP (Constantini unwrapping) is a phase unwrapping method that exploits globally the integer qualities of the problem. CUNWRAP method leads to formulating the PU model as the problem of minimizing the weighted deviations between the estimated and the unknown neighboring pixel differences of the unwrapped phase with the constraint that the deviation must be integer multiple of 2π. CUNWRAP used as network structure and makes it possible to employ very efficient strategies (linear programming method) for its solution. The formulation of phase unwrapping problem by CUNWRAP is a global minimization problem with integer variable. The two algorithms applied to test performed on simulated and real image (interferometric SAR data and magnetic resonance imaging). Ratio of elapsed time between CUNWRAP and PUMA, range for simulation image test is 1.6 to 9.09 times, while range for real image test is 4 to 37 times. Based on Peak signal to Noise Ratio (PSNR), effect of noise for simulated data, view of unwrapping result, elapsed time, show that PUMA is better than CUNWRAP globally.
Our research aims to develop a novel method for quantitative measurement of hCG concentration in human serum. Based on digital imaging processing technique, the relationship between hCG concentration and image informa...
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ISBN:
(纸本)9781424464968
Our research aims to develop a novel method for quantitative measurement of hCG concentration in human serum. Based on digital imaging processing technique, the relationship between hCG concentration and image information of reaction dot on hCG test sample can be built and be described as a standard curve. According to this standard curve, concentration of hCG sample can be measured. The image information of hCG test sample is captured by CCD mini-camera and is processed by digital signal processor (DSP). The sensitivity can be under 10mIU/ml. The high accuracy makes our system significantly potential application in clinical diagnosis.
Cardiac optical mapping changes cardiac membrane potential into optical signal with the voltage-sensitive dye, and carrys out image acquisition, storage, processing and other functions. This paper successfully finish ...
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ISBN:
(纸本)9781424464968
Cardiac optical mapping changes cardiac membrane potential into optical signal with the voltage-sensitive dye, and carrys out image acquisition, storage, processing and other functions. This paper successfully finish imageprocessing of the rabbit heart based on optical mapping, displaying membrane potential conduction map, denoising single-cell action potential duration map, locating the beginning of depolarization and the ending of repolarization, and Calculating polarization period length. The results of study in this paper can be combined cardiac electrophysiology computer simulation technology to explore the mechanism of cardiac fibrillation and defibrillation, and provide references to cardiac electrophysiology research.
Fluorescence microscopy is an important optical microscopic observation apparatus used for the research of cytobiology and cytogenetics. By using microscopic photography, digital CCD imaging instrument and other devic...
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ISBN:
(纸本)9781424464968
Fluorescence microscopy is an important optical microscopic observation apparatus used for the research of cytobiology and cytogenetics. By using microscopic photography, digital CCD imaging instrument and other devices, researchers can observe and capture images of FISH, GISH, and Green fluorescent protein (GFP), etc. In practice, however, in order to get good experimental results with a clear background and distinctive hybridization signal for GISH in Triticeae, it is necessary to improve GISH imageprocessing and the resolution. In this paper the main points for improving GISH technology and image effects in Triticeae are discussed, such as Chromosome preparation, the technical requirements of the probe, application of hybrid reaction promoter, and fluorescence microscopy observation, photography and imageprocessing, etc.
A special visual phenomenon is found. Based on Spatial frequency characteristics, the visual phenomenon is analyzed by decompositing and synthesizing spatial frequency of origin image to testify the existing of visual...
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This paper proposes a high-throughput cost-effective and low-power implementation of AES (Advanced Encryption Standard) supporting encryption and decryption with 128-bit cipher key. Considering the cost-effective and ...
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Extracting pathology area accurately is of great importance for robot assisted surgery system and computer aided diagnosis system. We extracted cancer area (acetowhite epithelium) in uterine cervical image based on sp...
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By high speed photography, scanning electron microscope and x-ray energy dispersive spectroscopy on the diesel engine fueled with bio-diesel and No.0 diesel, the combustion processing in cylinder and the characteristi...
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