作者:
Yang, XinDing, Ming-YueZhou, Cheng-Ping
Huazhong Unvi. of Sci. and Tech. Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Wuhan 430074 Hubei China School of Life Science and Technology
Huazhong Unvi. of Sci. and Tech. Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Wuhan 430074 Hubei China
Huazhong Unvi. of Sci. and Tech. State Key Laboratory for Multi-spectral Information Processing Technologies Wuhan 430074 Hubei China
This paper focuses on route planning, especially for unmanned aircrafts in marine environment. Firstly, new heuristic information is adopted such as threat-zone, turn maneuver and forbid-zone based on voyage heuristic...
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This paper deals with anisotropic diffusion in image affected by speckle. The classical SRAD can remove speckle efficiently, but blur the low-contrast edges. To solve this problem, a low-contrast edge enhancement meth...
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Based on the theory of quantum mechanics and quantum computing, a path planning method for mobile robot based on quantum genetic algorithm was presented in this paper. By using the quantum-bit with the superposition s...
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Roadmap methods were widely used in route planning fields, both for robots and unmanned aircrafts. Traditional roadmap is constituted by connecting the vertexes of convex obstacle, which is related to the locations of...
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A method to locate the axis of radio frequency ablation electrode(RFAE) in 3D Ultrasound(US) image is presented based on 3D phase-grouping in this paper. Firstly, all voxels in 3D US images are categorized into differ...
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A method to locate the axis of radio frequency ablation electrode(RFAE) in 3D Ultrasound(US) image is presented based on 3D phase-grouping in this paper. Firstly, all voxels in 3D US images are categorized into different groups which are called Line Support Region(LSR) according to the outer products of adjacent orientation vectors. And then, the RFAE axis is extracted with 3D Randomized Hough transform in the maximal LSR, instead of least squares fitting method, Finally, the endpoint of the RFAE axis is determined by searching along the axis with the probability distribution of voxels. The proposed method was tested in synthetic and 3D US agar phantom datas, the results are promising.
This paper focuses on route planning, especially for unmanned aircrafts in marine environment. Firstly, new heuristic information is adopted such as threat-zone, turn maneuver and forbid-zone based on voyage heuristic...
详细信息
This paper focuses on route planning, especially for unmanned aircrafts in marine environment. Firstly, new heuristic information is adopted such as threat-zone, turn maneuver and forbid-zone based on voyage heuristic information. Then, the cost function is normalized to obtain more flexible and reasonable routes. Finally, an improved sparse A* search algorithm is employed to enhance the planning efficiency and reduce the planning time. Experiment results showed that the improved algorithm for aircraft in maritime environment could find a combinational optimum route quickly, which detoured threat-zones, with fewer turn maneuver, totally avoiding forbid-zones, and shorter voyage.
Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In this work, a discrete structure representation ...
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In this paper, a novel method of fingerprint minutiae extraction on grey-scale images is proposed based on the Gabor phase field. The novelty of our approach is that the proposed algorithm is performed on the transfor...
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In this paper, a novel method of fingerprint minutiae extraction on grey-scale images is proposed based on the Gabor phase field. The novelty of our approach is that the proposed algorithm is performed on the transform domain, i.e. the Gabor phase field of the fingerprint image. This is different from most existing minutiae extraction methods, in which the minutiae are usually extracted from the binarized and thinned fingerprint image. Experimental results on benchmark data sets demonstrate that the proposed algorithm has promising performances.
Based on the theory of quantum mechanics and quantum computing, a path planning method for mobile robot based on quantum genetic algorithm was presented in this paper. By using the quantum-bit with the superposition s...
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Based on the theory of quantum mechanics and quantum computing, a path planning method for mobile robot based on quantum genetic algorithm was presented in this paper. By using the quantum-bit with the superposition state to encode a route and introducing quantum genetic algorithm to optimize the cost function of path planning, the proposed method guides and realizes path optimization by introducing genetic operators including quantum crossover operator and quantum gate mutation operator with the essential characteristics of quantum. Primary experiments demonstrated that our method not only has the diversity of population, but also improves effectively the capabilities of searching and convergence.
This paper deals with anisotropic diffusion in image affected by speckle. The classical SRAD can remove speckle efficiently, but blur the low-contrast edges. To solve this problem, a low-contrast edge enhancement meth...
详细信息
This paper deals with anisotropic diffusion in image affected by speckle. The classical SRAD can remove speckle efficiently, but blur the low-contrast edges. To solve this problem, a low-contrast edge enhancement method based on anisotropic diffusion for speckle reducing is present. The method extends the SRAD to a matrix anisotropic diffusion, and suppresses the diffusion across edges while encourages diffusion along edges. Experimental results showed that the proposed method can suppress the speckle and protect low-contrast edges efficiently.
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