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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"

共 16347 条记录，以下是4831-4840 订阅

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Digital image Forgery Detection using Graph Fourier Transform

Digital Image Forgery Detection using Graph Fourier Transfor...

引用

Futuristic Technologies in Control systems & Renewable Energy (ICFCR), International conference on

作者： Jamshida Thayyil K Edet Bijoy MES College of Engineering Kuttippuram Kerala India SiPCAS Laboratory National Chiao Tung University Hsinchu Taiwan

ISBN: (数字)9781728188935

ISBN: (纸本)9781728188942

This paper proposes a novel method using graph based features for detecting copy move forgery done in digital images. For extracting the features of the image patches the graph Fourier transform are used. A graph can represent data in different applications with a generic data structure. A graph different from classical transforms like DCT and DWT in the sense that it can represent signals on irregular and high dimensional domain. A graph can fit to local characteristics through edges for regular signals like images. Graph Fourier transform extracts the frequency interpretation for signals on graph. To reduce the processing time of feature matching patch match algorithm is used which is a fast approximate nearest neighbor search algorithm. The experiments conducted on the GRIP database shows that the proposed method is highly accurate and are robust to rotation and scaling.

关键词： Renewable energy sources Fourier transforms Digital images Signal processing algorithms Feature extraction Approximation algorithms Forgery

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Automatic Coil Delivery for Uncoiling Machine Based on image processing

Automatic Coil Delivery for Uncoiling Machine Based on Image...

引用

Chinese Control and Decision conference, CCDC

作者： Gang Zheng Zewen Wang Haowen Li Siyu Liu Xi’an University of Technology Automation and Information Engineering Xi’an

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

In order to automate the coil delivery for the cold rolling process and reduce manual operation error, this paper presents a method to locate and track the steel coil using monocular camera and image processing, and the core circle of coil is used as the tracking target. This proposed method firstly determines the initial target location information by RHT, then configure the qualification conditions of detection for the next time step based on the target parameters from the last time step. Canny edge detection is used to detect initial contour candidates, limited domain method, contour separation method, quadrant method are adopted to separate contour candidates and filter interference, then fit the target, and track the target by dynamic window method. Fitting the theoretical motion trajectory of the target by process a large number of video data, accurately mark the falling point and alignment point of the coil delivery process. It has been verified in the industrial field that this method has high accuracy, good tracking stability and real-time performance in the case of sufficient light. Compare with the traditional key-points detection methods based on sensor array, this system requires only a monocular camera, and realize the real-time location tracking, with higher accuracy and controllability, convenient for later maintenance.

关键词： Steel Target tracking Real-time systems image processing Cameras Process control

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Rational function model based color correction in image stitching applications 19

Rational function model based color correction in image stit...

引用

4th International conference on Multimedia systems and Signal processing, ICMSSP 2019

作者： Lu, Qiankun Gao, Zeyu Wang, Chao College of Software Nankai University Tianjin China

ISBN: (纸本)9781450371711

In the field of image processing, color correction is usually used when there are significant differences in tone or brightness in the original images. This method is also often used as an image preprocessing method to assist many other applications. This paper introduces a method of color correction using rational function model and histogram. And we use two different mapping methods to get best stitching results according to different application scenarios. The problem of color discontinuity in many color correction algorithms is solved, and the experimental results show that our method has a faster time efficiency. © 2019 Association for Computing Machinery.

关键词： Rational functions

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Measurement of core permeability in 'reservoir physics' by virtual simulation experiment

Measurement of core permeability in 'reservoir physics' by v...

引用

2019 International conference on Virtual Reality and Intelligent systems, ICVRIS 2019

作者： Li, Gaohe Xu, Bo Zhang, Yanli School of Economic Management Xi'an Shiyou University Xi'an 710065 China School of Petroleum Engineering Xi'an Shiyou University Xi'an 710065 China International Business School Shaanxi Normal University Xi'an 710119 China

ISBN: (纸本)9781728150505

Using OpenCV image processing library and VC++ programming language, this paper realizes the virtual simulation experiment measurement of core permeability of 'Reservoir Physics'. The permeability measurements of several core samples were completed, the experimental data were recorded dynamically, and the experimental data points were fitted linearly. Resource sharing is realized, the cost of the experiment is saved and minimize the risk factors in the real experiment that needs to be completed next. By guiding students to complete virtual simulation experiments before class, teachers can more actively cultivate students' learning initiative and enable students to complete real experiments with questions. Virtual simulation experiment is a new teaching mode completed by modern and contemporary technologies. It emphasizes the cultivation of talents' innovative ability, promotes the improvement of talents' quality and effectively improves the quality of running a school. © 2019 IEEE.

关键词： Students

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A Novel Forgery Detection Algorithm Based on Mantissa Distribution in Digital images

A Novel Forgery Detection Algorithm Based on Mantissa Distri...

引用

International conference of Signal processing and Intelligent systems (ICSPIS)

作者： Arman Parnak Yasser Baleghi Javad Kazemitabar Faculty of Electrical & Computer Engineering Babol Noshirvani University of Technology Babol Iran

ISBN: (数字)9781728186290

ISBN: (纸本)9781728186306

Nowadays, digital image forgery detection is one of important topics in research world. In this paper, we propose a novel forgery detection algorithm using the logarithmic basis of Benford's law which states the mantissa of the logarithm of all practical numbers should be uniformly distributed. Based on this fact, the proposed method uses extracted features from mantissa distribution of discrete cosine transform (DCT) coefficients in JPEG images. Support vector machine (SVM) is used for classification to detect authentic and forged images based on these features. Results show that our proposed algorithm has the highest mean accuracy (99.78%), sensitivity (99.77%) and specificity (99.79%) in comparison with previous works on CASIA V1.0 dataset.

关键词： Support vector machines Digital images Signal processing algorithms Feature extraction Forgery Discrete cosine transforms Detection algorithms

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Pollen Grain Classification using Geometrical and Textural Features

Pollen Grain Classification using Geometrical and Textural F...

引用

IEEE International conference on Imaging systems and Techniques (IST) . IEEE International School on Imaging

作者： Manikis, G. C. Marias, K. Alissandrakis, E. Perrotto, L. Savvidaki, E. Vidakis, N. Fdn Res & Technol Hellas Inst Comp Sci Computat Biomed Lab Iraklion Greece Hellen Mediterranean Univ Sch Agr Sci Dept Agr Lab Food Safety & Qual Iraklion Greece Enseirb Matmeca Dept Telecommun Bordeaux France Hellen Mediterranean Univ Dept Elect & Comp Engn Iraklion Greece

ISBN: (纸本)9781728138688

This study presents an image analysis framework coupled with machine learning algorithms for the classification of microscopy pollen grain images. Pollen grain classification has received notable attention concerning a wide range of applications such as paleontology and honey certification, forecasting of allergies caused of airborne pollen and food technology. It requires an extensive qualitative process that is mostly performed manually by an expert. Although manual classification shows satisfactory performance, it may suffer from intra and inter-observer variability and it is time consuming. This study benefits from the advances of image processing and machine learning and proposes a fully-automated analysis pipeline aiming to: a) calculate morphological characteristics from the images using a cost-effective microscope, and b) classify images into 6 pollen classes. A private dataset from the Department of Agriculture of the Hellenic Mediterranean University in Crete containing 564 images was used in this study. A Random Forest (RF) classifier was utilized to classify images. A repeated nested cross-validation (nested-CV) schema was used to estimate the generalization performance and prevent overfitting. image preprocessing, extraction of geometric and textural characteristics and feature selection were implemented prior to the assessment of the classification performance and a mean accuracy of 88.24% was reported.

关键词： Random Forests Multiclass Classification image processing Pollen Grain images Texture Analysis Microscopy images

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The Development of a Multi-Band Handheld Fusion Camera 16

The Development of a Multi-Band Handheld Fusion Camera

引用

conference on Electro-Optical and Infrared systems - Technology and Applications XVI

作者： Hickman, Duncan L. Tektonex Ltd Argyll Rd Kilcreggan Argyll Scotland Tektonex Ltd Argyll Rd Kilcreggan Bute Scotland

ISBN: (数字)9781510630222

ISBN: (纸本)9781510630222

A longwave infrared (LWIR) handheld surveillance camera has been modified through the addition of a second sensor which provides both visible (RGB) and near-infrared (NIR) image streams. The challenges and constraints imposed on the development process of this Handheld Fusion Camera (HHFC) are described, and the approach to the dual and tri-band image fusion processing schemes is presented. The physical characteristics of the existing camera acted as a major constraint on the HHFC design with the Size, Weight, and Power (SWaP) requirements restricting the choice of both the additional sensor as well as the processor engine available within the camera. The primary use of the HHFC is in ground-based security and surveillance operations which is challenging in terms of variability in the scene content. Establishing an effective processing architecture is critical to both image interpretability by the user, and operational effectiveness. The HHFC allows the user to view different image streams including enhanced single-band image data as well as both dual and tri-band fused imagery. Such flexibility allows the user to select the best imagery for their immediate requirements. Power consumption and latency figures have been minimised by the use of relatively simple arithmetical fusion algorithms combined with an Adaptive Weight Map (AWM) for regional-based optimisation. In practice, the potential performance gain achieved is necessarily limited by the required performance robustness, and this trade-off was critical to the HHFC design and the final image processing solution.

关键词： Tri-band image fusion multispectral camera adaptive weight map handheld fusion camera multi-sensor camera design surveillance system image enhancement colour imagery real-time image processing

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Learning feature sparse principal subspace 20

Learning feature sparse principal subspace

引用

Proceedings of the 34th International conference on Neural Information processing systems

作者： Lai Tian Feiping Nie Rong Wang Xuelong Li School of Computer Science & Center for OPTIMAL Northwestern Polytechnical University Xi'an China School of Cybersecurity & Center for OPTIMAL Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781713829546

This paper presents new algorithms to solve the feature-sparsity constrained PCA problem (FSPCA), which performs feature selection and PCA simultaneously. Existing optimization methods for FSPCA require data distribution assumptions and lack of global convergence guarantee. Though the general FSPCA problem is NP-hard, we show that, for a low-rank covariance, FSPCA can be solved globally (Algorithm 1). Then, we propose another strategy (Algorithm 2) to solve FSPCA for the general covariance by iteratively building a carefully designed proxy. We prove (data-dependent) approximation bound and convergence guarantees for the new algorithms. For the spectrum of covariance with exponential/Zipf's distribution, we provide exponential/posynomial approximation bound. Experimental results show the promising performance and efficiency of the new algorithms compared with the state-of-the-arts on both synthetic and real-world datasets.

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Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization

Active Sampling for Pairwise Comparisons via Approximate Mes...

引用

International conference on Pattern Recognition

作者： Aliaksei Mikhailiuk Clifford Wilmot Maria Perez-Ortiz Dingcheng Yue Rafał K. Mantiuk University of Cambridge Cambridge United Kingdom University College London London United Kingdom

Pairwise comparison data arise in many domains with subjective assessment experiments, for example in image and video quality assessment. In these experiments observers are asked to express a preference between two conditions. However, many pairwise comparison protocols require a large number of comparisons to infer accurate scores, which may be unfeasible when each comparison is time-consuming (e.g. videos) or expensive (e.g. medical imaging). This motivates the use of an active sampling algorithm that chooses only the most informative pairs for comparison. In this paper we propose ASAP, an active sampling algorithm based on approximate message passing and expected information gain maximization. Unlike most existing methods, which rely on partial updates of the posterior distribution, we are able to perform full updates and therefore much improve the accuracy of the inferred scores. The algorithm relies on three techniques for reducing computational cost: inference based on approximate message passing, selective evaluations of the information gain, and selecting pairs in a batch that forms a minimum spanning tree of the inverse of information gain. We demonstrate, with real and synthetic data, that ASAP offers the highest accuracy of inferred scores compared to the existing methods. We also provide an open-source GPU implementation of ASAP for large-scale experiments.

关键词： Message passing Graphics processing units Approximation algorithms Sampling methods Real-time systems Computational efficiency Quality assessment

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Improving the Successful Robotic Grasp Detection Using Convolutional Neural Networks

Improving the Successful Robotic Grasp Detection Using Convo...

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International conference of Signal processing and Intelligent systems (ICSPIS)

作者： Hamed Hosseini Mehdi Tale Masouleh Ahmad Kalhor Electrical & Computer Engineering University of Tehran Tehran Iran

ISBN: (数字)9781728186290

ISBN: (纸本)9781728186306

Robotic grasp should be carried out in a real-time manner by proper accuracy. Perception is the first and significant step in this procedure. This paper proposes an improved pip line model trying to detect grasp as a rectangle representation for different seen or unseen objects. It helps the robot to start control procedures from nearer to the proper part of the object. The main idea consists in the pre-processing, output normalization, and data augmentation to improve accuracy by 4.3 percent without making the system slow. Also, a comparison has been conducted over different pre-trained models like AlexNet, ResNet, Vgg19, which are the most famous feature extractors for image processing in object detection. Although AlexNet has less complexity than other ones, it outperformed them, which helps the real-time property.

关键词： Training Signal processing algorithms Robot sensing systems Feature extraction Real-time systems Time measurement Time factors

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