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image Retrieval Using the Modified Intersecting Cortical Model

Image Retrieval Using the Modified Intersecting Cortical Mod...

引用

International Conference on intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Wenjin Yuan Xuming Zhang School of Life Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China

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.

关键词： Neurons Mathematical model Feature extraction Computational modeling Equations Time series analysis Firing

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Transmit Aperture Function for Large Depth Focusing Combined with Phase Coherence Imaging for Interference Suppressing

Transmit Aperture Function for Large Depth Focusing Combined...

引用

International Conference on intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Mengling Xu Yimin Chen Ming Yuchi Mingyue Ding School of Life Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science & Technology Wuhan China

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.

关键词： Apertures Ultrasonic imaging Coherence Wires Biomedical imaging image resolution

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Geometric Active Contour Model and its Application to Carotid Plaque Detection

Geometric Active Contour Model and its Application to Caroti...

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International Conference on intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Jieyu Cheng Mingyue Ding Xuming Zhang Life School of Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China

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.

关键词： Active contours image segmentation Computational modeling Manuals Level set Ultrasonic imaging Solid modeling

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Fast image Matching Based on Multi-core DSP

Fast Image Matching Based on Multi-core DSP

引用

International Conference on intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Fumin Guo Mingyue Ding Xuming Zhang School of Life Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China

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.

关键词： Digital signal processing Correlation image matching Signal processing algorithms Algorithm design and analysis Multicore processing Feature extraction

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Prostate Surgery Path Planning Based on Simplified Delay-PCNN

Prostate Surgery Path Planning Based on Simplified Delay-PCN...

引用

International Conference on intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： He Li Xuming Zhang Wenguang Hou Mingyue Ding Life School of Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China

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.

关键词： Neurons Path planning Solid modeling Joining processes Biological neural networks Three dimensional displays Surgery

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A Three-Dimensional Transrectal Ultrasound Imaging System

A Three-Dimensional Transrectal Ultrasound Imaging System

引用

International Conference on intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Yimin Chen Jian Qi Xuming Zhang Mingyue Ding School of Life Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China

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.

关键词： Ultrasonic imaging Phantoms Three dimensional displays Transducers image reconstruction Biopsy

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On Sequential P Systems with Proteins

On Sequential P Systems with Proteins

引用

2011 International Conference on Future Management Science and Engineering(ICFMSE 2011)

作者： Chun Lu Xiao-jie Chen Xiao-long Shi Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology

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.

关键词： Membrane computing,Membrane system,Membrane protein,Sequential system,Vector addition system

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Superiority of the 3rd order approximation model to the 2nd order in Diffusion Kurtosis Imaging

Superiority of the 3rd order approximation model to the 2nd ...

引用

作者： Iraji, Armin Davoodi-Bojd, Esmaeil Soltanian-Zadeh, Hamid Hossein-Zadeh, Gholam-Ali Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI 48202 United States

ISBN: (纸本)9789644634284

For estimating the kurtosis parameter in Diffusion Kurtosis Imaging (DKI), usually second order expansion of the diffusion signal is used in conventional acquisition data. However, in this work, we show that this is not sufficient and should be reconsidered. Instead of using the second order expansion, we propose to use the third order expansion. At first, we show that the third order term of the Taylor's expansion has considerable values compared to second and first terms for the conventional b-values used in DKI. Then, for proving our claim empirically, we use real data to compare the proposed model with the previous one. To this end, five regions of the brain are extracted and for each region the fitting errors of both models are computed. The results confirm that the fitting error of the third order model is always (for all regions) less than the second order model. Although the improvement of the fitting error seems to be small, but considering the sensitivity analysis, this improvement can enhance the estimation of kurtosis. The resulting maps of the kurtosis parameter show this enhancement. The white matter in the map of third order model is more distinguishable than in the other model. © 2011 AmirKabir Univ of Tech.

关键词： Diffusion

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Spectral clustering based unsupervised change detection in SAR images

Spectral clustering based unsupervised change detection in S...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xiangrong Zhang Zemin Li Biao Hou Licheng Jiao Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

An unsupervised change detection method based on spectral clustering and difference image methods for multitemporal single-channel single-polarization synthetic aperture radar (SAR) images is proposed. The difference image is generated by integrating the typical difference image method with Non-Local Filter, which exploits both the spatial neighborhood information and gray similarity information, and can well reduce the speckle noises of SAR images. The spectral clustering algorithm is employed to cluster the difference image into two clusters and get the change map. Compared with traditional clustering algorithms, such as A-means, SC can recognize the clusters of unusual shapes and obtain the globally optimal solutions. Experimental results confirm the effectiveness of the proposed techniques.

关键词： Clustering algorithms Remote sensing Principal component analysis Change detection algorithms Synthetic aperture radar Sensors Noise

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Partial Differential Equation Model Method Based on image Feature for Denoising

Partial Differential Equation Model Method Based on Image Fe...

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International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping

作者： Xiaohua Zhang Ran Wang L. C. Jiao Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

For the special different nature images, we could hardly find particularly desirable approach, and there always exist Gibbs-type artifacts in the results of most methods. A novel Partial Differential Equation (PDE) model is proposed based on image feature for images denoising. The PDE model is adaptive within each region according to the details of the image feature to adjust the size of the diffusion coefficient. So it can be disposed the high gradient noise at the same time better to retain the edge information. We also analyze the performance of the PDE model method. Numerical results show that our algorithm competes favorably with state of the-art TV projection methods to eliminate noise and reduce Gibbs-type artifacts.

关键词： Mathematical model TV image edge detection Noise reduction Noise Noise measurement Numerical models

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