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检索条件"任意字段=International Congress on Image and Signal Processing, BioMedical Engineering and Informatics"

共 2040 条记录，以下是1311-1320 订阅

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Blind Multiply Distorted image Quality Assessment Using An Ensemble Random Forest 10

Blind Multiply Distorted Image Quality Assessment Using An E...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Ma, Mengzhu Li, Chaofeng Jiangnan Univ Sch Internet Things Engn Wuxi Jiangsu Peoples R China

ISBN: (纸本)9781538619377

In this paper, we propose an AdaBoost Random Forest (AdaBoost-RF) based blind multiply distorted image quality assessment (IQA) method. The AdaBoost-RF is an ensemble learning algorithm that uses the principle of the AdaBoost and random forest as Weak Learners. We also operate learning quality-aware features (LQAF) and utilize the AdaBoost-RF to get the image quality score by taking advantage of image features. The AdaBoost-RF increases the degree of difference between Weak Learners, in contrast to other regressions, and can gain higher predictive accuracy. On the LIVE multiply distorted image database (LIVEMD) and MDID2013, experimental results show our proposed model has a better performance than the other mainstream IQA methods, and is a useful and reliable method for image quality assessment.

关键词： Blind image Quality Assessment Multiply Distorted image Ensemble AdaBoost Random Forest

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A Novel Deformable image Registration Algorithm Based on Improved Active Demons 10

A Novel Deformable Image Registration Algorithm Based on Imp...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Zhuang, Shiyong Xia, Youshen Fuzhou Univ Coll Math & Comp Sci Fuzhou Fujian Peoples R China

ISBN: (纸本)9781538619377

The optical flow field-based active demons algorithm is a major technique for nonrigid image registration. Current active demons algorithms for large deformation problems are suffered with low registration precision due to using gradient information of the reference image and moving image only. To avoid the disadvantage of the active demons algorithms, this paper first presents the length and area of connected region as driving forces into the active demons diffusion equation and then proposes a new deformable image registration algorithm by combining the gradient information-based driving forces and connected region-based driving forces. Furthermore, a multi-resolution technique is introduced for robust performance against noise. Experimental results show that the proposed deformable image registration algorithm has better performance than several conventional active demons algorithms.

关键词： Deformable image Registration Active Demons Connected Region Robustness

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Efficient Deep Learning for Stereo Matching With Larger image Patches 10

Efficient Deep Learning for Stereo Matching With Larger Imag...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Feng, Yiliu Liang, Zhengfa Liu, Hengzhu Natl Univ Def Technol Coll Comp Changsha Hunan Peoples R China

ISBN: (纸本)9781538619377

Stereo matching plays an important role in many applications, such as Advanced Driver Assistance Systems, 3D reconstruction, navigation, etc. However it is still an open problem with many difficult. Most difficult are often occlusions, object boundaries, and low or repetitive textures. In this paper, we propose a method for processing the stereo matching problem. We propose an efficient convolutional neural network to measure how likely the two patches matched or not and use the similarity as their stereo matching cost. Then the cost is refined by stereo methods, such as semiglobal maching, subpixel interpolation, median filter, etc. Our architecture uses large image patches which makes the results more robust to texture-less or repetitive textures areas. We experiment our approach on the KITTI2015 dataset which obtain an error rate of 4.42% and only needs 0.8 second for each image pairs.

关键词： Stereo Matching Larger Patches Depth

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image Encryption based on Quantum-CNN Hyper-chaos System and Anamorphic Fractional Fourier Transform 10

Image Encryption based on Quantum-CNN Hyper-chaos System and...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Li, Jinqing Di, Xiaoqiang Liu, Xingchen Chen, Xiaodong Changchun Univ Sci & Technol Sch Comp Sci & Technol Changchun Jilin Peoples R China Yanbian Univ Yanbian Jilin Peoples R China

ISBN: (纸本)9781538619377

To solve the insufficient of nonlinearity in optical cryptosystems, a new scheme is proposed for optical image encryption based on Quantum Cellular Neural Network(QCNN) hyperchaotic system and Anamorphic Fractional Fourier Transform(AFrFT). The first and the second Chaos Random Phase Masks(CRPM) are generated by QCNN hyperchaotic system. The original image is combined with the first CRPM and then transformed by AFrFT. The encrypted image is obtained by the second CRPM and the second AFrFT. Experimental simulation results show the feasibility, high security and efficiency of our scheme.

关键词： Optical image Encryption Anamorphic Fractional Fourier Transform Quantum Cellular Neural Network Hyperchaotic System

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Application of image Segmentation Based on the Artificial Bee Colony Algorithm in Fire Detection of Mine Belt Conveyor 10

Application of Image Segmentation Based on the Artificial Be...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Liu, Yuxin Ma, Xianmin Xian Univ Sci & Technol Sch Elect & Control Xian Shaanxi Peoples R China

ISBN: (纸本)9781538619377

The traditional method of mine belt conveyor fire accident detection is limited. A novel image processing method is proposed in this paper, which combines 2D-Dimensional Otsu, Canny dge detection and Artificial Bee Colony algorithm. The noise interference of image is reduced by using median filtering techniques. In order to obtain gray value and neighborhood gray scale average, 2-Dimensional histogram of image is constructed. The fitness function of Artificial Bee Colony algorithm is designed by 2-Dimensional Otsu method and the maximum value of the fitness function is the optimal threshold for image segmentation. Finally, the canny edge detection and grayscale morphology were used to extract the target. Theoretical analysis and simulation results show that the proposed method is effective to detect fire accident of mine belt conveyor in complex undeground environment.

关键词： Mine Fire Detection Belt Conveyor image processing Artificial Bee Colony Algorithm Edge detection

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A Partial Differential Equation Model Based on Noise Estimation for image Denoising 10

A Partial Differential Equation Model Based on Noise Estimat...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Yang, Xiaolin Zhou, Bin Feng, Jun Chengdu Univ Technol Coll Management Sci Chengdu 610059 Sichuan Peoples R China Southwest Petr Univ Sch Sci Chengdu 610050 Sichuan Peoples R China

ISBN: (纸本)9781538619377

Many evolution behaviors can be described by nonlinear partial differential equations. PDE-based models have some advantages over many traditional models in complex image processing while considerable computation is often required. This paper presents a new model based on linear diffusion equation and noise estimation. The local diffusion coefficient can be well determined by the estimation of local standard variation of the noise. The denoising results can be visibly improved to approximate even exceed some results of nonlinear models(PM, TV, etc.) without amounts of computation. Some numerical experiments show the accuracy and efficiency of proposed model.

关键词： partial differential equation denoising noise estimation linear diffusion

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An Algorithm Based on Photo Consistency for image Feature Point Matching 10

An Algorithm Based on Photo Consistency for Image Feature Po...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Wu, Wei Wang, Yunfeng Wang, Anran Tang, Yu He, Yifan Xiamen Univ Sch Informat Sci & Engn Xiamen Peoples R China Xiamen Univ Technol Coll Comp & Informat Engn Xiamen Peoples R China

ISBN: (纸本)9781538619377

Matching image feature point by the SURF (Speed-up Robust Features) algorithm needs to loop through all feature points on the image to be matched, which will take a long computation time. In order to solve this problem, it is proved based on the photo consistency that the Hessian matrix determinants between the matched feature points are equal in theory. Experimental results show that because of the influences of light and other elements, the ratio of the Hessian matrix determinant of 95 percent of the correct SURF feature point's pairs is between 0.7 and 1.5. Based on the relation of the Hessian matrix determinants between the matched feature points, a fast image feature point matching algorithm is proposed, which improves the recognition rate of feature points, and it makes over twice faster than the SURF algorithm.

关键词： computer application feature points matching photo consistency SURF

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Study on multi-spectral remote sensing image restoration based on sparse representation 10

Study on multi-spectral remote sensing image restoration bas...

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10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Qin, Zhentao Yang, Ru Zhang, Jin Panzhihua Coll Sch Mathmat & Comp Sci Panzhihua Peoples R China Panzhihua Coll Sch Civil & Architectural Engn Panzhihua Peoples R China

ISBN: (纸本)9781538619377

The multispectral remote sensing image sensor is expensive, and it will cause part of the pixels of the defect in the process of acquisition and transmission, it would be of great importance to be able to restore the defective pixels at the receiver. According to the latest research results of optimization, this paper presents a new multi-spectral remote sensing image restoration method based on sparse representation. The method can divide three-dimensional image into different blocks and model the problem of multi-spectral remote sensing image, and the multi-spectral pixel blocks of the study area is restored by sparse approximation. The experiment proves the efficiency of the algorithm, and the proposed method is very important in remote sensing image processing.

关键词： multi-spectral remote sensing image dictionary learning sparse representation restoration optimization

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image Reconstruction via L₀ Gradient and L₁ Wavelet Coefficients Minimization 10

Image Reconstruction via L<sub>0</sub> Gradient and L<sub>1<...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Wang, Zexian Du, Huiqian Liu, Yilin Mei, Wenbo Beijing Inst Technol Sch Informat & Elect Beijing Peoples R China

ISBN: (纸本)9781538619377

In this paper, we address the problem of image reconstruction from highly undersampled Fourier measurements. In order to promote inherent sparsity in gradient and wavelet transform domain, we proposed a new reconstruction scheme via minimizing L-0 norm of gradients and L-1 norm of wavelet coefficients. L-0 gradient minimization can control the number of non-zero gradients to enforce the sparsity in gradient, which results in edge preserving reconstruction. The reconstruction is casted into optimization framework and alternating direction method of multipliers (ADMM) algorithm is utilized to efficiently solve the proposed optimization problem. Experimental results demonstrate the superior performance of the proposed method in comparison with the L-1 gradient reconstruction method.

关键词： image reconstruction L-0 norm sparsity ADMM

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Configuration and Management of the image Gateway Based on the Embedded System 10

Configuration and Management of the Image Gateway Based on t...

引用

10th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI)

作者： Fu, Yuqing Lin, Shunhao Zhang, Ding Liu, Yiqing Huang, Shimei East China Normal Univ Sch Informat Sci Technol Shanghai Peoples R China Shanghai Horizon Informat Tech Co Ltd Shanghai Peoples R China

ISBN: (纸本)9781538619377

In order to realize the configuration convenience and management standardization of the image gateway, this paper adopts a scheme of configuration and management by using the embedded system and the host computer software. The scheme uses K60 (NXP Freescale MK60DN512VLQ10) as the master chip, transplants RT-Thread, a real-time operating system, and a lightweight protocol stack LwIP, which runs TCP / UDP Socket service, listens to the host computer command. The embedded system is connected with the core processor FPGA (Field Programmable Gate Array) through the RMII and the UART interfaces. To realize the configuration of the image gateway, the embedded system reads the network packets from FPGA through the RMII interface and sends the security rules to FPGA through the UART.

关键词： Embedded system RT-Thread LwIP image Gateway

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