作者:
Z. ChenJ. G. LiuG. Y. WangIntelligence Control
Institute for Pattern Recognition and Artificial Intelligence and Multi-Spectral Information Processing State Key Laboratory Huazhong University of Science and Technology China Intelligence Control
Institute for Pattern Recognition and Artificial Intelligence and Multi-Spectral Information Processing State Key Laboratory Huazhong University of Science and Technology China
According to the drawback of the traditional circle target extraction algorithm from high resolution remote sensing imagery used by Hough Transform, such as computation complexity, low efficiency and etc, a new circle...
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According to the drawback of the traditional circle target extraction algorithm from high resolution remote sensing imagery used by Hough Transform, such as computation complexity, low efficiency and etc, a new circle target extraction method is proposed in this paper which can extract multiple circle targets with different radius at one time. First, the Average Absolute Difference is implemented to enhance the edge of the circle targets and suppress the noise of the background. Secondly, the locally self-adaptive segmentation algorithm is implemented to obtain the binary image. Thirdly, the thinning algorithm based on model computation is implanted to obtain the single pixel edge of the circle targets and in order to reduce the computation times in the following process. Furthermore, a pruning algorithm is necessary; finally, a modified Hough transform algorithm is proposed to obtain the circle targets. The experimental results demonstrate that the new circle targets algorithm can extract the multiple circle targets quickly and accurately, which has three advantages: low time consuming, high detection rate, robust to noise and fragmentary boundaries.
作者:
Yangguang SunMingyue DingCollege of Computer Science
South-Central University for Nationalities Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan China College of Life Science and Technology
Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan China
A novel statistical method was proposed for boundary extraction of interested objects in this letter. The proposed method was inspired by the physical nature of quantum and the statistical property of wave function. B...
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A novel statistical method was proposed for boundary extraction of interested objects in this letter. The proposed method was inspired by the physical nature of quantum and the statistical property of wave function. By introducing the polymer representation of quantum particle and based on quantum particle motion in the gradient-based image potential field, the boundary extraction was realized in our method. Experimental results demonstrated that our method has the capability to make the boundary extraction with arbitrary initialization and topology changes possible.
This paper addresses the problem of robust control of spatially interconnected systems (SISs) subject to both exogenous disturbances and time-varying norm-bounded parameter uncertainties. A sufficient condition to the...
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ISBN:
(纸本)9781612848006
This paper addresses the problem of robust control of spatially interconnected systems (SISs) subject to both exogenous disturbances and time-varying norm-bounded parameter uncertainties. A sufficient condition to the well-posedness, stability and attractiveness of an SIS with respect to all admissible uncertainties is presented in terms of a set of matrix inequalities. For the synthesis of distributed dynamic output feedback controllers, the nominal system is expanded in its output space so as to eliminate the uncertainties in the system matrices. In reference to the standard distributed scaled H_(infinity) control, the synthesis of distributed robust H_(infinity) controllers is proposed based on the system model in the expanded space. Numerical examples validate the effectiveness of the method.
Abstract A high gain integral dynamic compensation method for a missile pitch motion autopilot design is proposed. The external disturbances and model mismatch are lumped into an unknown input term, and then a high ga...
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Abstract A high gain integral dynamic compensation method for a missile pitch motion autopilot design is proposed. The external disturbances and model mismatch are lumped into an unknown input term, and then a high gain integral observer is constructed for the estimation of this term. Through the singular perturbation theory, it is concluded that with the control direction known and the integral gain high enough, the observer output can converge to the unknown input fast enough. The Lyapunov analysis also shows the bounded stability of the closed loop system. Numerical simulation results demonstrate this simple method improves the nominal tracking performance and robustness of dynamic inversion controller against unmodeled dynamics and external disturbances.
The problem of attitude control for a spacecraft model that is nonlinear in dynamics with inertia uncertainty and external disturbance has been investigated. Adaptive law and extended state observer are applied to est...
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The problem of attitude control for a spacecraft model that is nonlinear in dynamics with inertia uncertainty and external disturbance has been investigated. Adaptive law and extended state observer are applied to estimate the disturbance, by which sliding-mode controllers are designed to combine the two approaches in order to force the state variables of the closed-loop system to converge to the reference attitude states. Also, simulation results are presented to illustrate the effectiveness of the control strategies.
In this paper, the problem of spacecraft attitude tracking maneuvers in the presence of parametric uncertainty and external disturbance is addressed. A time-varying sliding mode controller with an exponential time-var...
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In this paper, the problem of spacecraft attitude tracking maneuvers in the presence of parametric uncertainty and external disturbance is addressed. A time-varying sliding mode controller with an exponential time-varying sliding surface is presented. The attitude of spacecraft is represented by modified Rodrigues parameters for the non-redundancy. The proposed control algorithm eliminates the reaching phase of conventional time-invariant sliding mode control and guarantees the sliding mode occurrence all the time. This property indicates that the controller is global robust against matched parametric uncertainty and external disturbance. Additionally, the control parameter is adjusted to minimize a given quadratic cost. Finally, a numerical simulation is employed to verify the proposed control algorithm.
The analysis of the carotid artery wall is of paramount importance in clinical practice. Especially, the intima-media thickness is a risk index for some of the most severe acute cerebrovascular pathologies, hence, an ...
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The analysis of the carotid artery wall is of paramount importance in clinical practice. Especially, the intima-media thickness is a risk index for some of the most severe acute cerebrovascular pathologies, hence, an accurate segmentation of the different layers of the carotid artery is needed. IMT is usually manually measured on longitudinal B-mode ultrasound images. In the past ten years, many computer-based techniques for intima-media thickness measurement have been proposed to overcome the limits of manual segmentation, but almost all of them require a certain degree of user interaction. In this paper we proposed a novel approach for the completely user-independent segmentation of the common carotid artery wall. Our algorithm is designed for the extraction of the intima and media layers of the distal carotid wall in ultrasound images. It is based on integrated approach consisting of common carotid artery region identification, contour initialization with threshold segmentation, intima-lumen segmentation with Snake, and media-adventitia segmentation with GVF-Snake that enables the automated tracing of the carotid walls. The acoustic impedance's difference is employed to locate common carotid artery region. Finally, the characterization of the algorithm in terms of segmentation error was evaluated with a set of 40 common carotid artery ultrasound images and compared to the segmentation traced by a trained operator. Experiments showed that a mean error lower than 1.3 pixel both on the intima and media layers was obtained, which is comparable to that obtained by means of operator dependent techniques.
The main factors which affect differential pressure of stratospheric airships are analyzed;a differential pressure control system model of ascending process is established and various factors on the differential impac...
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The main factors which affect differential pressure of stratospheric airships are analyzed;a differential pressure control system model of ascending process is established and various factors on the differential impact are analyzed by means of simulation. Secondly, a kind of coordinated control strategy which relies mainly on differential pressure control while altitude control subsidiary is presented. And the controllers based on the strategy are designed. The coordinated control of the pressure difference and altitude is developed, and the performance of the controllers is analyzed by simulation.
Stroke and heart attack, which could be led by a kind of cerebrovascular and cardiovascular disease named asatherosclerosis, would seriously cause human morbidity and mortality. And the carotid artery of intima-media ...
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Stroke and heart attack, which could be led by a kind of cerebrovascular and cardiovascular disease named asatherosclerosis, would seriously cause human morbidity and mortality. And the carotid artery of intima-media thickness (IMT) is a key indicator to the disease. With the development of computer assisted diagnosis (CAD) technology, Ultrasound imaging, being real-time, economic, reliable, safe, and now seems to become a standard in vascular assessment methodology especially for the measurement of IMT. This review is an attempt to discuss the clinical relevance of measurements in clinical practice at first, and then followed by the challenges that one has to face when approaching the segmentation of ultrasound images. Secondly, the paper is presentation of common used methods for the IMT segmentation and measurement. An overview of summary and future perspectives is given in conclusion finally.
Common algorithmic problem is an optimization problem, which has the nice property that several other NP-complete problems can be reduced to it in linear time. A tissue P system with cell division is a computing model...
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Common algorithmic problem is an optimization problem, which has the nice property that several other NP-complete problems can be reduced to it in linear time. A tissue P system with cell division is a computing model which has two basic characters: intercellular communication and the ability of cell division. The ability of cell division allows us to obtain an exponential amount of cells in linear time and to design cellular solutions to computationally hard problems in polynomial time. We here present an effective solution to the common algorithmic decision problem using a family of recognizer tissue P systems with cell division.
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