Applied Mechanics and Materials Vols. 239-240

Abstract: A two-dimensional image matching method based on the improved Hausdorff distance and global harmony search optimization is presented in this paper. First, edges are extracted form the original images by the Canny edge detector. Then, a fitness function based on the improved Hausdorff distance is constructed. Finally the global harmony search optimization is adopted to optimize the fitness function. Experiments show that the proposed method is able to locate the object of interest globally and efficiently.

Abstract: The motion-blurred image restoration has been the difficulty of the field of image processing. In this paper, proposed a motion-blurred length method based on Fourier transform of the parameter estimation method. The method improved the accuracy of the blurred length estimation. The method improved the effect of the motion-blurred image restoration. The experiments verified that the accuracy and feasibility of the method proposed.

Abstract: In the marine study field, it always analysis the kinds of acquisition signals to extract the meaningful data. In this paper, a method of wavelet packet transformation (WPT) is suggested to the analytical ocean signals, such as the tidal level in the event of typhoon. It's known that the tidal level contains different frequency of astronomical tidal components and storm surge components, so it can be decomposed by using WPT to separate them into serials of frequency bands signals. Specifically, the storm surge process curve can be extracted independently by reconstructing the exclusive decomposed wavelet packet coefficients for our deeply research in the future. Taking one of typhoon measured tidal levelas an example to validation the opinion, the storm surge is calculated by using the presented method.Compared with the value calculated by traditional linear method, it shows that the suggested method can preferably separate storm surge and also has applied significance in analysising the ocean signals.

Abstract: The Katsevich reconstruction algorithm based on cone-beam must compute the derivative of projection data in the reconstruction process, but projection data are discrete and haven’t derivative. So the derivatives of the polynomial interpolation function are as approximation of the derivative of projection data. To verify the effectiveness of this method, 3D Shepp-Logan model is reconstructed by the method and the average gradient is used to measure the clarity of image. The experimental results show that this method enables image clearer and improves image quality

Abstract: A new algorithm is presented in this paper to determinate the point correspondences on contour between template image and its target after affine transformation. In the algorithm, the singular value decomposition（SVD）is applied to the contour point sets of the template and target image respectively for eliminating the influences of the shear and scale in the affine transformation. The Euclidean distance between the contour point and the center of the shape are taken as the feature to form the reference sequence and comparative sequences, and then grey relational analysis (GRA) is used to find the best correlation sequence. After two contour sequences with the best correlation are found, the corresponding points between the two contours can be decided also. Finally the affine transformation parameter can be calculated and image matching can be realized by this way. Compared with the similar methods, experiments show that the proposed method has lower computational complexity and better accurate for image matching.

Abstract: To solve the missing data problem that is caused by reasons, such as occlusion, frame reconstruction by a two-level strategy in multiple images was considered. The method first performed a projective reconstruction combining singular value decomposition (SVD) and subspace method with missing data, which estimated projective shape, projection matrices, projective depths and missing data iteratively. Then it converted the projective solution to a Euclidean one with the unknown focal length and the constant principal point by enforcing constraints. Using the constraints and the fact that scale measurement matrix can recover numberless projection matrices and point matrices, the set equations of the transformation matrix from the projective reconstruction to Euclidean reconstruction were obtained. Experimental results using real images are provided to illustrate the performance of the proposed method.

Abstract: Video-oculography (VOG) is a non-invasive detection method used for eye movement. However, during testing, if object blinks, VOG would be difficult to acquire eye movement. A removing blink method based on Kalman Filter was presented. A cubic spline was employed to patch the removed data. Then simulation and experiment were done. The experimental results show that the method well predicts the next state. Compared to a threshold level, it eliminates blink artifact and patches the removed data. The method is a viable means of predicting pupil center for blink in VOG.

Abstract: Epilepsy is one of the most common neurological disorders that greatly disturb patients’ daily lives. Traditional epileptic diagnosis relies on tedious visual screening by neurologists from lengthy EEG recording that requires the presence of seizure (ictal) activities. We proposed to study automated epileptic diagnosis using interictal EEG data that was much easier to collect than ictal data. The research aims to develop an automated diagnostic system that can use interictal EEG data to diagnose whether the person is epileptic. This system could also test epileptic seizures in order to provide doctors with further tests and potential monitor of patients. To test such a system, we extract power spectral feature, Petrosian fractal dimension, Higuchi fractal dimension and Hjorth parameters for analysis, from which we find our system can be used in patient monitoring(seizure detection) and seizure focus localization, with 98.333% and75.5% accuracy respectively.

Abstract: To increase signal to noise ratio (SNR) and to stress on expectation characters, an improved adaptive minutia preserving smoothing algorithm is proposed using Matlab based on multi-scale and multidirectional masks. This algorithm keeps the mask’s good performance in preserving details. It divides image into sub-images according to the statistics from image gradation-gradient histogram, and the adaptive threshold value generate according to the gradient information of the whole and the local image. This method deals with the difficulty of choosing threshold and improves the automation of image smoothing. The results of experiments show that the improved algorithm has more better performance than that classical algorithm either in reducing noise efficiently in intra-region and at edges or in keeping line-like structures such as edges and textures.

Abstract: In this paper, design and implementation of SOPC (System on Programmable Chip) based Asynchronous pipelined Discrete Cosine Transform (DCT) is considered. For designing Asynchronous Pipelined DCT, a new approach is proposed. In this approach, Nios II embedded processor is used to control the asynchronous data flow. For implementation of Asynchronous pipelined DCT, Winograd algorithm with 6 stages (Combinational Logic Blocks) of operations is used. The intermittent data between stages are latched by using multiplexer based latches. The completion of each and every stage is informed to the Nios II processor using interrupts. In turn, Nios II processor generates various control signals to pass the intermittent data stored in the multiplexer based latches. In the proposed system, storage of intermittent data is done with multiplexer based latches instead of registers. This leads to minimum power consumption. The system is useful in water marking the patient details on to the patient records to transmit through Internet. The work has been carried out as a part of embedded remote patient monitoring system, in which the measured medical parameters and images of the patients are to be sent to the remote doctor through wired or wireless medium, along with the patient details. The system is implemented in EP1S25F780C5 Altera Stratix FPGA with Nios II embedded processor. Importantly, Nios II processor is also used to validate the DCT & IDCT results by comparing the results with a known set of test vectors.