This paper proposes a low energy-consuming cluster-based algorithm to protect data integrity and privacy named ILCCPDA,which can dynamically elect cluster head by LEACH clustering protocol and take the simple cluster ...
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ISBN:
(纸本)9781479941681
This paper proposes a low energy-consuming cluster-based algorithm to protect data integrity and privacy named ILCCPDA,which can dynamically elect cluster head by LEACH clustering protocol and take the simple cluster fusion approach to reduce the data transmission,thus reducing energy *** can detect data integrity by adding homomorphic message authentication code and take the random key distribution mechanism for data *** can solve the problem of the integrity,privacy and energy consumption in the wireless transmission of sensor data.
In this paper, we propose a novel bottom-up paradigm for detecting visual saliency. Regarding the boundary as potential background (boundary prior), we firstly transfer the input color image into a graph with addition...
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ISBN:
(纸本)9781479928941
In this paper, we propose a novel bottom-up paradigm for detecting visual saliency. Regarding the boundary as potential background (boundary prior), we firstly transfer the input color image into a graph with additional four virtual nodes. With a new type of edge called feature edge defined considering both color information and spatial distribution, geodesic saliency measure is used to obtain four saliency maps. Then a combination strategy of four maps is proposed, rendering a uniform saliency map to better suppress background and avoid over-suppression of salient object. Finally, we introduce a way of determining foci of attention based on maximal deviation from norm (MDN) to enhance the quality of saliency map. Experimental results on a benchmark dataset demonstrate the better performance of our proposed approach compared with several state-of-art methods.
Due to the characteristic of remote sensing image, we propose a novel method based on K-means algorithm also with the improved multi-phrase level set model. Comparing with the classical multi-phase C-V model, the impr...
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Purpose: Varian TrueBeam version 2.0 comes with a new inline 2.5MV beam modality for image guided patient setup. In this work we develop an iterative volumetric image reconstruction technique specific to the beam and ...
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Purpose: Varian TrueBeam version 2.0 comes with a new inline 2.5MV beam modality for image guided patient setup. In this work we develop an iterative volumetric image reconstruction technique specific to the beam and investigate the possibility of obtaining metal artifact free CBCT images using the new imaging modality. Methods: An iterative reconstruction algorithm with a sparse representation constraint based on dictionary learning is developed, in which both sparse projection and low dose rate (10 MU/min) are considered. Two CBCT experiments were conducted using the newly available 2.5MV beam on a Varian TrueBeam linac. First, a Rando anthropomorphic head phantom with and without a copper bar inserted in the center was scanned using both 2.5MV and kV (100kVp) beams. In a second experiment, an MRI phantom with many coils was scanned using 2.5MV, 6MV, and kV (100kVp) beams. Imaging dose and the resultant image quality is studied. Results: Qualitative assessment suggests that there were no visually detectable metal artifacts in MV CBCT images, compared with significant metal artifacts in kV CBCT images, especially in the MRI phantom. For a region near the metal object in the head phantom, the 2.5MV CBCT gave a more accurate quantification of the electron density compared with kV CBCT, with a ∼50% reduction in mean HU error. As expected, the contrast between bone and soft-tissue in 2.5MV CBCT decreased compared with kV CBCT. Conclusion: On-board CBCT imaging with the new 2.5MV beam can effectively reduce metal artifacts, although with a reduced softtissue contrast. Combination of kV and MV scanning may lead to metal artifact free CBCT images with uncompromised soft-tissue contrast.
Feature subset selection is an important approach to deal with high-dimensional data. But selecting the best subset of data is NP hard. So most of feature selection methods cannot handle high-dimensional data efficien...
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Feature subset selection is an important approach to deal with high-dimensional data. But selecting the best subset of data is NP hard. So most of feature selection methods cannot handle high-dimensional data efficiently, or they can only obtain local optimum instead of global optimum. In these cases, when the data consist of both labeled and unlabeled data, semi-supervised feature selection can make full use of data information. In this paper, we introduce a novel semi-supervised feature selection algorithm, which is a filter method based on Fisher-Markov selector, thus ours can achieve global optimum and computational efficiency under certain kernels.
The reasonable design of particle filter framework in multi-sensor observation system is the key to expand the application domain of sampling nonlinear filters. Aiming at the effective realization of particle filter f...
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The reasonable design of particle filter framework in multi-sensor observation system is the key to expand the application domain of sampling nonlinear filters. Aiming at the effective realization of particle filter for multi-sensor target tracking problem, a novel average weight optimization Rao-Blackwellised particle filtering al- gorithm is proposed. Combining with the kinetic equation of target state evolution, RBPF is used as the basic es- timator of algorithm realization. For the rational utiliza- tion from multi-sensor observations and the reduction of the adverse influence from random observations noise in measuring process of particles weight, the average weight optimization strategy is used to improve the reliability and stability of particle weight variance. In addition, we give the concrete flow of RBPF in average weight optimization strategy. Finally, the theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm.
Digital subtraction angiography has become one of the most important approaches to artery disease diagnosis and treatmentDoctors implement diagnose and treatment by subjective analysis of the DSA series,and the result...
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Digital subtraction angiography has become one of the most important approaches to artery disease diagnosis and treatmentDoctors implement diagnose and treatment by subjective analysis of the DSA series,and the results are always dependent on doctors' experienceThe application of color-coded imaging technology makes it convenient to identify images and provides additional physiology information auxiliary diagnosis and treatmentBefore implementing color-coded imaging technology on DSA series,we preprocess the images with several mutiscale spatial filters to remove noises and enhance vessel structures to make the results readable and clear.
Aiming at adverse influence of the correlation between measurement and process noise for filtering precision, a new multiple model particle filtering algorithm with correlated measurement noise and process noise is pr...
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This paper proposes a three-layer model for full frame video *** is practical for real time full frame processing where the smoothness of intentional camera motion is *** undefined pixels in stabilized frame are fille...
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This paper proposes a three-layer model for full frame video *** is practical for real time full frame processing where the smoothness of intentional camera motion is *** undefined pixels in stabilized frame are filled by pixels in previous frames *** traditional methods that all neighboring frames are required to be stored and registered with current frame,the proposed algorithm only stores single updated mosaic image for video *** runs significantly faster than previous *** efficacy has been demonstrated by real experiments.
The particle filter offers a general numerical tool to approximate the posterior density function for the state in nonlinear and non-Gaussian filtering problems. While the particle filter is fairly easy to implement a...
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