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Digital image contour is rich in image information, many applications are based on accurate tracking of the target contour. Image contour features fuzziness and non-uniformity, so that contour extraction method based on automatic delineation can easily cause inaccurate partition, while manual partition method has poor efficiency and instantaneity. Considering accuracy and efficiency of two-dimensional...
This paper introduces an improved method of nonlinear distortion correction for wide-angle lens. The method is to cast chessboard image to the billiard table by the projector according to the given parameters, then to extract sub-pixel corners from the chessboard image collected by camera and establish fitting relations between coordinates of camera image and that of computer screen with the binary...
Background subtraction is a key pre-processing step for several video automatic operations. Various techniques have been proposed to perform background subtraction automatically in complex environments. Visual background extractor (ViBe) is a popular background subtraction technique that can initialize its model in a single frame, adapt to the environment changes and achieve satisfactory subtraction...
In the last three decades there have been many multi-frame image super-resolution (SR) algorithms proposed, but there are still many problems, such as edge blurring, artifacts are existing in the final reconstructed image, and many previous algorithms are sensitive to noise. This paper reviews some typical algorithms and addresses their limitations. In this paper, we propose super-resolution with...
Landing aerial crafts, such as helicopters, on the board of naval vessels of small or medium size is a difficult and risky task for pilots since the tonnages are not large enough which makes the ships always swinging along with ocean waves. Thus the landing areas are moving all the way with six degrees of freedom randomly. Even, this mission will become dangerous and deadly when the weather is stormy...
A novel method will be proposed to automatically segment the tissue of brain in magnetic resonance (MR) images. The core idea behind this method is the mixed use of Gaussian mixture model and K-means Algorithm (GKA). In this paper, the brain tissue of MR images will be segmented into White Matter (WM), Gray Matter (GM) and Cerebrospinal Fluid (CSF) by adopting the GKA method. Both the classic Gaussian...
Active Contour method has been shown very effective in detecting the contour of region(s)-of-interest(ROI) and is widely used in image processing and computer vision. In this work, we aim to improve the performance of Zhang's method in detecting boundary of ROIs. Specifically, we will generalize the CV energy functional and give a new special case. The new energy functional penalize the approximation...
Breast cancer is one of the leading causes of death in women worldwide. Therefore, ultrasound examination has become an important method of detecting breast tumors. However, given the special features of ultrasonic imaging, lesion segmentation is a challenging task in computer-aided diagnosis systems. In this study, we proposed a complex and automated approach to segment breast ultrasound images....
Due to its advantageous features (eye protection, low energy consumption and capability of being read under any lighting-conditions), Electrophoretic displays (EPD) have been rapidly developed in the past ten years. Different types or production batches of EPD films need different driving waveforms; even in the same device, different driving waveforms are required under different environments to guarantee...
Time-hopping signal structure is adopted for overcoming the near-far problem in the Ground-based Navigation System. The signal model of TH-CDMA signal is presented. To track the pulse signals with pseudorandom active-timeslot, tracking loops with time-varying sampling periods are designed. The linear model of the second order TVSP-PLL is presented. The stability of the time-varying model is analyzed...
Level set methods have been extensively used in contour recognition and image segmentation. The traditional level set methods require to initialize the level set function regularly and are strongly dependent on initial contour position thus there are many problems about the methods. Considering those problems, this article proposed a new level set method to draw geometric active contour self-adaptively...
In this paper, the forward and inverse kinematics of a robot manipulator named RV-M1 are analyzed. The forward kinematic model is based on the DH parameters, and the inverse one is derived in closed form. Then, the interactive simulation system is established using MATLAB software which is one of the most used platforms for the modeling and simulation of robot systems. Finally, the simulation results...
In short range ultrasonic measurement systems, the blind area of the measurement limit the application of the low cost ultrasonic transducers. In a double transducer measurement system, when impulses are loaded to transmitter with reflection and refraction of sonic, the receiver nearby will receive echoes immediately, which will leads to a period of time that can't be measured. If an object is near...
Speech recognition, as the man-machine interface, plays a very important role in the field of artificial intelligence. Traditional speech recognition methods are shallow learning structure, and have their limitations. This paper uses the Convolution Neural Networks (CNNs) to realize speech recognition. It is an alternative type of neural network that can reduce spectral variation and model spectral...
The use of the direct evaluation of the Gaussian Process, using the square exponential function kernel prediction at the given data points is often misleading towards evaluation of the fit, given by the coefficient of determination. The predicted value at the data points when using the Gaussian Process, is almost at all cases equal to the original value. As such, interpretation problems arise when...
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