In order to reduce the complexity of hologram generation and holographic display, for the first time the paper combines Gerchberg-Saxton iterative algorithm with Lohmann coding to make phase-only hologram and designs ...
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In order to reduce the complexity of hologram generation and holographic display, for the first time the paper combines Gerchberg-Saxton iterative algorithm with Lohmann coding to make phase-only hologram and designs a digital micromirror device (DMD) display system. Thus we not only solve the problem that the amplitude of the frequency spectrum of object function fluctuates very greatly but also avoid the complicated process for producing hologram produced by the plotter, which is controlled by computer. And by this method we can further avoid the complicated technology by etching silicon crystal and improve the quality of imaging.
An efficient discrimination method of different brain states is important in order to implement a suitable system. This paper applies the One Versus the Rest CSP to the EEG data recorded during motor imagery tasks con...
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An efficient discrimination method of different brain states is important in order to implement a suitable system. This paper applies the One Versus the Rest CSP to the EEG data recorded during motor imagery tasks consisting of four different classes, namely the imagination of right hand, left hand, foot and tongue movements. The best correct classification results for the three subjects are73.3％, 81.7％, and 76.7％.
To improve codebook quality in the process of vector quantization, the paper proposes a novel codebook generation algorithm which is based on image segmentation using t-mixture models and greedy EM algorithm. Addition...
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Granular computing which imitates the manner of human thinking is a mathematical tool to deal with incomplete, uncertain, imprecise and inconsistent knowledge. Just as a great umbrella, it may be regarded as a label o...
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ISBN:
(纸本)9781615677207
Granular computing which imitates the manner of human thinking is a mathematical tool to deal with incomplete, uncertain, imprecise and inconsistent knowledge. Just as a great umbrella, it may be regarded as a label of theories, methodologies, techniques and tools about granules, mainly including fuzzy set theory, rough set theory and quotient space theory. In this paper we discuss the relationship of three theories. Then we introduce a general model of granular computing and present a macrocosmic (microcosmic) hierarchical representation of granules.
A novel watermarking sharing scheme for gray-level images is proposed, which has the ability of sharing secret (the gray-level image) with multi-users. Multiple-based number system is used to split the secret into n m...
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A novel watermarking sharing scheme for gray-level images is proposed, which has the ability of sharing secret (the gray-level image) with multi-users. Multiple-based number system is used to split the secret into n meaningless shares, each share is embedded into cover image with controlled distortion and to be assigned to each user afterwards. The main feature of the proposed scheme is sharing a secret of gray-level image among multi-users; another application of such scheme is ownership verification. To reveal the secret, the necessary amount of shares has to be presented. That is, the secret can be recovered even if some shares are lost. Simulation results show that the recovered secret has robustness against a wide range of imaging processing operations.
In this paper, a novel watermarking scheme based on relationship of Tchebichef Moments is proposed. Firstly, the image is divided into blocks;then the Tchebichef moment's relationship of each block is computed, wh...
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An atom-centered protocol based method for surface sampling in grid space is proposed. Van der Waals, solvent-accessible and solvent-excluded surface can be generated in a unified framework. A spherical hash function ...
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An atom-centered protocol based method for surface sampling in grid space is proposed. Van der Waals, solvent-accessible and solvent-excluded surface can be generated in a unified framework. A spherical hash function is used to mark whether the points are inside a sphere, and the hash tables are used to record which spheres the surface points locate on. The proposed method can be modified to apply in the parallel computation directly, which is useful for molecular dynamics simulation, docking and surface comparison and so on. Our tests indicate that the proposed method is efficient and the generated surfaces are suitable for quantitative analysis and visualization.
It is very important to detect singular points (core and delta) accurately and reliably for classification and matching of fingerprint. In this paper, an improved method for singularity detection in fingerprint images...
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It is very important to detect singular points (core and delta) accurately and reliably for classification and matching of fingerprint. In this paper, an improved method for singularity detection in fingerprint images, which based on continuous orientation field, is proposed to improve accuracy of the position and reliability of the singularity. Firstly, the blocks which may contain singularities are detected by computing the Poincare Index. Then, the singularities are detected in the block images. Experiment show that the proposed method can overcome the shortcoming of the traditional method to great extend and is robust to poor quality images.
In this paper, a novel camera parameters calibration algorithm is proposed by exploiting defocus information. The proposed algorithm is based on two defocus images of the same scene obtained by changing camera's a...
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In this paper, a novel camera parameters calibration algorithm is proposed by exploiting defocus information. The proposed algorithm is based on two defocus images of the same scene obtained by changing camera's aperture numbers. Both images can be arbitrarily blurred. The blur difference between the two defocused images was estimated. Combining with imaging geometry of the thin lens, the corresponding camera parameters can be calibrated. This proposed algorithm remove the limit of calibration algorithm given by Soon-Yong Park that one of the images used in calibration must be focused. And it is valid without process of scale normalization. The calibrated parameters yield consistent results in depth estimation. Experimental results on synthetic and real images are presented to demonstrate the effectiveness of the proposed algorithm.
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