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Research on Insulator Fault Diagnosis and Remote Monitoring System Based on Infrared Images

Procedia Computer Science 2017年 109卷 1194-1199页

作者： Zhou Shen-pei Lei Xi Qiao Bing-chen Hou Hui School of Automation Wuhan University of Technology Wuhan 430070 China

In order to solve the problems of manual judgment and low automation in traditional fault diagnosis methods, a fault diagnosis and remote detection system based on infrared images is designed. The computer server of this system realizes the analysis and processing of the infrared image of the insulator by calling the MATLAB software, and transmits the diagnostic data to the Android mobile phone. Simulation results show that the system is effective and convenient.

关键词： Insulator sift algorithm Matlab Android Remote monitoring

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A Precision-Improved Processing Architecture of Physical Computing for Energy-Efficient sift Feature Extraction 41

A Precision-Improved Processing Architecture of Physical Com...

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41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： Li, Yi Qiao, Fei Yang, Xinghua Wei, Qi Yang, Huazhong Tsinghua Univ Dept Elect Engn Inst Circuit & Syst Beijing Peoples R China

ISBN: (纸本)9781479999880

A precision-improved processing architecture of physical computing for energy-efficient sift feature extraction algorithm has been proposed in this paper. With the novel physical computing technology of active resistor network (PC:ARN), the sift algorithm could be processed in analog signal domain without synchronizing clock signals, which means the complex algorithm could be completed within the setup time of the circuit. Especially for the multi-scale Gaussian convolution of sift algorithm, an architecture of two-layer 1-dimension PC: ARN has been adopted to compute the horizontal and vertical 1-dimension gaussian filter, in which way higher accuracy can be obtained when compared with the results processed by a 2D active circuit network. A circuit-level simulation with 65nm CMOS technology has been carried out, which shows the energy consumption of gaussian pyramid multi-scale-filtering hardware architecture is about 25.3pJ, where the size of input frame is assigned as 256x256 pixels. Additionally, the average matching ratio in different image pairs is around 80%. Moreover, integrated into the dominating CMOS image sensor with column-parallel readout technology of analog-to-digital convertor, about 20x speedup can be achieved comparing with previous implementations with FPGA, GPU, etc.

关键词： sift algorithm Gaussian Pyramid Physical Computing

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Fast sift algorithm based on Sobel Edge Detector

Fast SIFT Algorithm based on Sobel Edge Detector

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International Conference on Consumer Electronics, Communications and Networks

作者： Yang Li Lingshan Liu Lianghao Wang Dongxiao Li Ming Zhang Institute of Information and Communication Engineering Zhejiang University

ISBN: (纸本)9781457714146

The sift (Scale Invariant Feature Transform) algorithm is an approach for extracting distinctive invariant features from images. It is widely used in image matching. Since sift detector detects the extreme points through the whole scale space, it often selects keypoints that have no value and reduces the efficiency of the algorithm. This paper proposes a fast sift algorithm based on Sobel edge detector. Sobel edge detector is applied to generate an edge group scale space and sift detector detects the extreme point under the constraint of the edge group scale space. The experimental results show that the proposed algorithm decreases the redundancy of keypoints and speeds up the implementation while the matching rate between different images maintains at a high level. As the threshold of Sobel detector increases, number of keypoints decreases and matching rate gets higher.

关键词： sift algorithm Image matching Sobel edge detector Scale invariant

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Augmented Reality Registration Method Based on Natural Feature Points

Augmented Reality Registration Method Based on Natural Featu...

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2017 17th IEEE International Conference on Communication Technology (ICCT 2017)

作者： Qianyu Li Yingxiang Li Juan Tian Dehao Ren Chengdu University of Information Technology

A three-dimensional registration method based on natural feature points is presented, which is applied to the augmented reality system. Firstly, several common feature extraction algorithms have been compared in this paper, and the sift algorithm is applied to improve the matching accuracy as a descriptor matching method. And then the data of ten key image frames is used to reconstruct the 3 D structure of the scene. When the real-time image data is input, the key frame which mostly matches the current image is selected, and the image matching method based on key frame is used to obtain the camera pose. Finally, improved Lucas-Kanade method for real-time tracking is adopted, not only maintaining the accuracy of registration but reducing the system computing time. The experimental results shown that the method achieves a effect of real-time tracking and accurate registration, and can keep a better registration precision.

关键词： three-dimensional registration natural feature points sift algorithm augmented reality

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Synthetic Aperture Radar Image Matching Based on Improved Scale-Invariant Feature Transform 9

Synthetic Aperture Radar Image Matching Based on Improved Sc...

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9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Wang, Qing Tang, Tao Su, Yi Natl Univ Def Technol Coll Elect Sci & Engn Changsha Hunan Peoples R China

ISBN: (纸本)9781509037100

In this paper, an improved scale-invariant feature transform (sift) algorithm for synthetic aperture radar (SAR) image matching is proposed. Initially, feature descriptors based on gradient ratio (GR) are constructed by utilizing traditional sift method. In order to measure the matching degree between images, the similarities of the descriptors are then calculated via the symmetry kullback-leibler divergence (SKLD) criterion. Experimental results show that the proposed method has a good performance on image matching for SAR images.

关键词： image matching SAR image sift algorithm gradient ratio feature extraction

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Research of the color descriptor sift 2nd

Research of the color descriptor SIFT

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2nd International Conference on Computer, Intelligent Computing and Education Technology (CICET)

作者： Wang, Ye Ran Zhang, Tong Bo Li, Guang Li Dong, Chun Xiao Zhao, Hong Wei Jilin Univ Coll Comp Sci & Technol Changchun 130023 Peoples R China

ISBN: (纸本)9781315685892;9781138028005

In the sift algorithm, the choice of the color model determines the representation of the color description. The suitable color descriptor can improve the accuracy of the matching algorithm. However, the existing researches often do not analyze the color model together with algorithms, nor consider the particularity of the specific algorithm. Focusing on sift algorithm, this article compares the color description of the color space RGB with that of color pace HSV. Aiming at the shortcomings of the various types of descriptor, we put forward the researching direction for the color descriptor in the future.

关键词： Color Model Color Descriptor sift algorithm

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A Method Based on Prior Information of Feature Points Registration for SAR Images

A Method Based on Prior Information of Feature Points Regist...

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2016 5th International Conference on Advanced Materials and Computer Science(ICAMCS 2016)

作者： Dekun Li Pingyan Shi Xiaomin Tan Xi‘an Institute of Space Radio Technology

The concept of moving target detection is monitoring and detecting the moving target in the target area,achieving the goal of monitoring the target area all-day and *** the process of monitoring,the multi-frame SAR images which get from the same scenario need to be *** Range Doppler equations are used to obtain the location model of SAR images in this paper,combing the sift algorithm with the prior ***,the sift is used to extract the feature ***,the prior information is used to achieve the regional division of the feature ***,the nearest neighbor matching rule is used to match the targets in the candidate target *** prior information of SAR images is fully used in this *** this way,the matching search range is reduced and the efficiency of matching algorithm is *** data simulations prove that this algorithm is feasible.

关键词： SAR images Sequence registration Prior information sift algorithm

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Automatic detection of slide transitions in lecture videos

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MULTIMEDIA TOOLS AND APPLICATIONS 2015年第18期74卷 7537-7554页

作者： Jeong, Hyun Ji Kim, Tak-Eun Kim, Hyeon Gyu Kim, Myoung Ho Korea Adv Inst Sci & Technol Dept Comp Sci Taejon 305701 South Korea Sahmyook Univ Dept Comp Engn Seoul 139742 South Korea

This paper presents a method to automatically detect slide changes in lecture videos. For accurate detection, the regions capturing slide images are first identified from video frames. Then, sift features are extracted from the regions, which are invariant to image scaling and rotation. These features are used to compare similarity between frames. If the similarity is smaller than a threshold, slide transition is detected. The threshold is estimated based on the mean and standard deviation of sample frames' similarities. Using this method, high detection accuracy can be obtained without any supplementary slide images. The proposed method also supports detection of backward slide transitions that occur when a speaker returns to a previous slide to emphasize its contents. In experiments conducted on our test collection, the proposed method showed 87 % accuracy in forward transition detection and 86 % accuracy in backward transition detection.

关键词： Video segmentation Video indexing Recursive interval pruning Backward slide transitions Adaptive threshold sift algorithm

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Constructing interactive multi-view videos based on image-based rendering

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INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING 2015年第4期10卷 402-414页

作者： Chang, Shih-Ming Tsai, Joseph C. Yen, Shwu-Huey Shih, Timothy K. Tamkang Univ Dept Comp Sci & Informat Engn New Taipei 25137 Taiwan Natl Cent Univ Dept Comp Sci & Informat Engn Taoyuan 30201 Taiwan

In this paper, we use image-based rendering (IBR) to develop a scene rotation mechanism. We shot several images in the same scene and computed the angles between images. A video is then composed, allowing users to select viewing angles when the video is playing. We made three kinds of assumptions that may affect the resulting video, and proved our assumptions by a series of experiments. Finally, we use video of realistic scenario and produce interactive video by the proposed method. The contribution also includes techniques to compute geometric parameters of the scene from one or more images.

关键词： sift algorithm mean-shift algorithm homography matrix image-based rendering IBR

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Effective Digital Image Copy-Move Location algorithm Robust to Geometric Transformations 5

Effective Digital Image Copy-Move Location Algorithm Robust ...

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IEEE International Conference on Signal Processing, Communications and Computing ICSPCC 2015

作者： Zhao, Fuxing Zhang, Rong Guo, Haolong Zhang, Yanhua Ningbo Univ Fac Elect Engn & Comp Sci Ningbo Zhejiang Peoples R China

ISBN: (纸本)9781479989201

To make the tampered image more deceivable, rotation and scaling of the duplicated image region, as simple and common image forgery techniques, are often employed. In this paper, a novel approach of copy-move location is presented for copy-move forgery which combines with the keypoint-based method and the block-based method. For a tampered image, we use the split-half recursion matching strategy to match sift keypoints. In this step, we obtain the preliminary detection results which indicate the suspected copy-move regions with matching relation. In order to obtain an accurate localization, the proposed method introduces block-based method. First, the affine transformation between two matched regions is estimated. Then, one of the two matched regions is transformed. And then, the ZNCC coefficients are calculated to measure the correlation between the transformed and the matched regions. Experimental results indicate that the presented algorithm can not only localize the tampered regions accurately, but also deal with operations such as rotation, scaling and multiple copy operations. At the same time it also can resist post-processing operations effectively like white Gaussian noise and JPEG compression.

关键词： digital image forensics copy-move forgery sift algorithm affine transformation ZNCC coefficient

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