Advanced Materials Research Vols. 989-994

Abstract: In order to realize efficient and stable 3-D reconstruction of image sequence, a novel 3-D reconstruction method is proposed based on independent three-view in this paper. Firstly, three-view is used as reconstruction unit. Consequently, robust fundamental matrix is calculated under the constraint of three-view. Then 3-D point cloud of 3-D scene corresponding to this three-view is rebuilt by triangulation. Because three-view point cloud is rigid body and local stable, 3-D point clouds of whole image sequence are unified to the same space coordinate system via calculating and using transformation parameters between adjacent three-view. Finally 3-D point cloud reconstruction of whole image sequence is achieved. As shown in experiment, method presented in this paper is simple, efficient and reliable.

Abstract: Digital X-ray photography technology is under the control of the computer, to use one-dimensional or 2D X-ray detector to convert the captured image into digital signals directly to using image processing technology. It can realize the function of image analysis. We introduce X-ray photography technology into the terminal identification in track and field, and use the clustering algorithm to improve computer image clustering algorithm. Through capturing the digital signal of human head, arms and legs, it enhances the terminal recognition method in track and field. Finally we use MATLAB to calculate the captured image value of X-ray photography. Through calculation, motion capture and recognition of X-ray image are enhanced obviously. It provides a theoretical basis for researching on motion capture technology in track and field.

Abstract: Based on block sampling and genetic algorithm we improve the image segmentation technology, and obtain the new image processing method based on image pixel block cross reconstruction, and apply this algorithm to the block and the reconstruction calculation of track and field image. In order to verify the effectiveness and reliability of block sampling and genetic algorithm, we use MATLAB to test the algorithm. Through calculation, the number of 2D block is 20, the minimum number of 3D pixel array is 1259, and the calculation residual reaches the highest, with 0.0122. When the number of 2D block is 40, the maximum number of 3D pixel array is 3875, and the calculation residual reaches the lowest, with 0.0013. Therefore, according to the needs of computer hardware conditions, we can increase the 2D block number, improve the segmentation number of 3D pixel array for track and field image, which can reduce the residual and improve the precision of calculation.

Abstract: The system selected OmniVisiON company's CMOS chip OV7620, it is an integrated color camera chip, a 640 × 480 (300,000 pixels) image matrix. Considered that the CPLD control system is similar to the DMA mode of data transmission; Cypress's USB 2.0 chip is used by CY7C68013 chip. Finally, it is become the microcontroller firmware and device driver. The paper presents the design of Image acquisition system based on CMOS image sensor USB interface. Design an image acquisition and transmission system, and describes its firmware as well as the development of USB device drivers and PC-side application.

Abstract: This paper studies the positioning method of DPM 2D barcode image. Because of the reflective problems of metal surface, the barcode image gotten will have uneven illumination, high light issues. In this paper, the homomorphic filtering method is used to enhance the image. Then the gradient projection is used to positioning the barcode region preliminary. We use an adaptive threshold method composed of Otsu method and neighborhood threshold method to solve the error segmentation problem. Finally the convex hull algorithm is applied to locate barcode region. Experiment results show that this method can effectively locate the barcode region quickly.

Abstract: Ultra-Wideband (UWB) wireless communication is a new potential communication technology currently in its field. It becomes very popular in the world since it’s high performance, low radicalization and low cost. Currently UWB wireless system, we can call it Impulse Radio technology too, be invented in 20 century 1960s. But it was only used in military affairs field, bailout searching, radar location and so on. After civil using, it usually is used in indoor wireless LAN .In this paper, the development and application of UWB are introduced, the characteristic and limitation of UWB are simply analyzed. According to the simulating depending on Multipath channel, it shows increasing SNR about 1.5dB to the base of primary power district or increasing SNR about 1dB to primary power district and minor power district, we can get whole performance of RAKE receiver in perfect channel.

Abstract: Foreground detection is an important part in video surveillance system. The detection results will significantly affect the performance of tracking, abnormal behavior analysis and other following procedures. Many algorithms have been proposed to improve the detection performance. However, these algorithms simply focus on one single frame, ignoring the relationship among the detection results of one target in successive frames. This paper presents a novel foreground enhancement algorithm using Hidden Markov Model (HMM). In a video sequence, one target in successive frames usually has similar shape, size, et al. With this property, the target can be modeled by HMM and enhanced using the result of its prior frame. The observation of HMM is obtained by ViBe. The enhancement result is then estimated by using Maximum A Posteriori (MAP). Experimental results show that compared with the state-of-art algorithm, the proposed method can enhance foreground detection effectively.

Abstract: We put forward a fast and efficiently sub-pixel registration method for solving the classical methods’ problems of low efficiency, and use efficiently sub-images instead of original image to sub-pixel registration based on the Fourier transform phase correlation and matrix Fourier transform method. Effective sub-images are selected from the total size of the high-frequency energy after two-dimensional wavelet decomposition, then we use the phase correlation to calculate the pixel displacement and matrix Fourier transform to calculate the sub-pixel displacement. Not only the improved method is inherited the advantage of matrix Fourier transform sub-pixel registration, but also the registration speed is greatly improved. This is more applicable to massive remote sensing data. Through simulation and engineering practice, composited registration accuracy and speed, proved that the improved method is more efficient compared with the classical methods, and it’s more suitable for real remote sensing image registration.

Abstract: The traditional combination filter method in the practical process is often two layers of composite filtering de-noising for the image containing the gaussian mixture noise and pulse noise. This paper proposes a three filter combination algorithm based on the two layers filters, To the Gaussian and pulse mixed noise of the remote sensing image, we use wavelet threshold de-nosing and adaptive median filter de-nosing, and then using the third layer adaptive Wiener filtering de-noising to remove the residual noise. Through theoretical analysis and practical application, the de-nosing results of this method is obvious in processing mixed noise of remote sensing image, this is a practical method of combination filtering de-noising, it can be widely used in the field of image processing.

Abstract: Hyperspectral images (HSI) have rich texture information, so combining texture information and image spectral information can improve the recognition accuracy. Sparse representation has significant success in image classification. In this paper, we propose a new discriminative sparse-based classification framework using spectral data and extended Local Binary Patterns (LBP) texture. Firstly, we propose an extended LBP coding for HSI classification. Then we formulate an optimization problem that combines the objective function of classification with the representation error by sparsity. Furthermore, we use a procedure similar to K-SVD algorithm to learn the discriminative dictionary. The experimental results show that the proposed discriminative spasity-based classification of image including the extended LBP texture outperforms the classical HSI classification algorithms.