Systems with unknown nonlinear characteristics and unknown disturbances are linearized using dynamic feedback linearization based on linear extended state observer. Also a method for the parameter regulation is presen...
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Membrane computing identifies an unconventional computing model,namely a P system,from natural phenomena of objects evolutions and chemical reactions in the living *** the nature of maximal parallelism in this model,P...
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Membrane computing identifies an unconventional computing model,namely a P system,from natural phenomena of objects evolutions and chemical reactions in the living *** the nature of maximal parallelism in this model,P systems have a great potential for implementing massively concurrent systems as an efficient computing *** systems with proteins on membranes(MP systems,for short) are a variant of P systems paying a more attention to the proteins on *** the original definition of MP systems,rules are also called to be applied in a maximally parallel ***,in some cases a sequential model may be a more reasonable *** this work,we study the computational power of sequential MP systems and look at MP systems operating on multisets of objects and *** show that they are equivalent to vector addition systems.
Tangent distance measures image similarity in a manifold way and is specific for handwritten digit recognition. However, in tangent distance metric the transformation should be known a priori and nonlinear manifolds a...
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Tangent distance measures image similarity in a manifold way and is specific for handwritten digit recognition. However, in tangent distance metric the transformation should be known a priori and nonlinear manifolds are only approximated by first-order tangent hyperplanes. We propose a new image distance metric - the high-order approximated manifold distance (HMD) which can overcome these defects. The intrinsic variables of image transformation are learned by a special manifold learning algorithm - Maximum Variance Unfolding (MVU). Then nonlinear manifold is approximated by curve surface based on higher-order Taylor expansion with respect to intrinsic variables. HMD is defined as the minimum distance between the approximated curved surfaces of manifolds, and can be directly utilized in distance-based classifiers for image recognition. A series of face recognition and handwritten digit recognition experiments demonstrate that HMD not only achieves higher recognition accuracy but also has more stability of classification than several state-of-the-art distance metrics.
The intersecting cortical model(ICM) is driven from the pulse-coupled neural networks (PCNN), and a lot of works have been done on it. In this paper, we have proposed a method, which is modified from the PCNN, to retr...
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The intersecting cortical model(ICM) is driven from the pulse-coupled neural networks (PCNN), and a lot of works have been done on it. In this paper, we have proposed a method, which is modified from the PCNN, to retrieval the image. This method uses the iteration times of the ICM as the feature, and we do it repeatedly. So we will get the feature vectors and utilize the features to retrieval the image. And the experimental results have proved the effectiveness of the proposed method. While the proposed method shows some advantages like the feature curves are linear and steady.
The data acquisition of 3D-Ultrasound includes array scan and mechanical scan, and the later one is more easy to realize. Currently, the traditional probe scanning mode is Front-end scanning. Under the above scanning ...
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The data acquisition of 3D-Ultrasound includes array scan and mechanical scan, and the later one is more easy to realize. Currently, the traditional probe scanning mode is Front-end scanning. Under the above scanning mode, when it scans over the breast, 2D-Ultrasound probe slides through the surface of the patients' bodies, the image will be influenced strongly by the human *** this paper we propose a new scanning mode to solve the above problem: Back-End scan, the back end rotates while the front end contacts the patients' skin without slide. The device designed using dual stepper motors which are under the synchronization control. Experiment results show the effectiveness of the proposed device.
Dynamic focus and dynamic aperture applied on both transmit and receive aperture can provide the best possible quality of the B-mode ultrasound image, which is called a "gold standard" image. However, they a...
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Dynamic focus and dynamic aperture applied on both transmit and receive aperture can provide the best possible quality of the B-mode ultrasound image, which is called a "gold standard" image. However, they are implemented only on the receive beam in most medical ultrasound systems because the application of dynamic focus on the transmit beam will reduce the frame rate severely, which has great medical importance especially when tissue motion needs to be considered. Recently, a specific transmit aperture function has been proposed to achieve uniform transmit energy distribution on the axis over a large depth without reducing the frame rate. Although it can maintain the uniformity of the transmit energy on the axis, the energy distribution off the axis of the transmit beam is not satisfactory, meaning a wider main lobe width and higher side lobe levels compared with some general aperture functions such as rectangular and hamming functions. To suppress the interference signals originating from the targets on the side and grating lobes, we processed the received echo signals using the phase coherence imaging method (PCI), which is an adaptive receive aperture weighting technique presented in the recent literatures. Experimental results show that the uniform sensitivity along the axis range has been achieved and image quality on spatial and contrast resolution improved when we use the transmit aperture function combined with PCI.
Traditional image matching algorithm based on gray correlation provides accurate results but it is time-consuming because of large amount of calculation. An improved gray correlation based image matching algorithm bas...
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Traditional image matching algorithm based on gray correlation provides accurate results but it is time-consuming because of large amount of calculation. An improved gray correlation based image matching algorithm based on multi-core DSP is proposed to speed up the matching velocity with the acceptable margin of errors. With the development of portable embedded image processer, especially the multi-core DSPs for parallel computing to speed up the process, these image matching algorithms need to be transplanted to these embedded system. Experiments based on CPU in the form of Visual C++6.0 application program and multi-core Digital Signal Processor(DSP) verify the effectiveness of the algorithm, making it applicable to embedded image processing system with a multi-core DSP.
This paper presents an algorithm to find the shortest path in 3D(three-dimensional) prostate surgery planning. Using a simplified delay pulse coupled neural network(S-DPCNN) model, a shortest path can be drawn automat...
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This paper presents an algorithm to find the shortest path in 3D(three-dimensional) prostate surgery planning. Using a simplified delay pulse coupled neural network(S-DPCNN) model, a shortest path can be drawn automatically from the target position to the puncture point. Compared to the traditional pulse coupled neural network(PCNN), S-DPCNN needs much fewer neurons and therefore decreases complexity of computation. Experiments on computer simulations show the validity of this method.
This paper gives an overview of three different geometric active contour models with the focus on the application to carotid plaque detection from cross-sectional ultrasound images of the carotid artery. On one hand, ...
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This paper gives an overview of three different geometric active contour models with the focus on the application to carotid plaque detection from cross-sectional ultrasound images of the carotid artery. On one hand, basic principles of these geometric active contour models are presented. On the other hand, performance of these models are tested on 16 images and compared with the manual delineations.
A three dimensional transrectal ultrasound imaging system has been developed. The proposed system is aimed at monitoring for the prostate and providing three-dimensional ultrasound image for prostate biopsy and therap...
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A three dimensional transrectal ultrasound imaging system has been developed. The proposed system is aimed at monitoring for the prostate and providing three-dimensional ultrasound image for prostate biopsy and therapy. The device contains mechanical device and control circuit for the rotation of the probe. In addition, a two dimensional ultrasound machine for 2D ultrasound imaging is used and the software system for the reconstruction of three-dimensional ultrasound image based on PC is developed. Experiments are performed in phantom to validate our prototype. The 3D scan of the agar phantom produces minimal geometric distortion. In the future, our system will be tested on patients.
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