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检索条件"任意字段=18th Image Processing: Algorithms and Systems Conference, IPAS 2020"

共 258 条记录，以下是171-180 订阅

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Real-time traffic analysis at night-time

Real-time traffic analysis at night-time

引用

IEEE International conference on image processing

作者： Jose M. Mossi Alberto Albiol Antonio Albiol Valery Naranjo Ornedo ITEAM Research Institute Universitat Politecnica de Valencia Spain

this paper presents a video-based approach to traffic analysis and monitoring in night light conditions. In this kind of scenarios the headlights of the vehicles are the main features of the image taken from an urban or inter-urban traffic camera. the body of the vehicles is very low contrasted and many of the algorithms used in day-time decrease their performance. In our algorithm, we detect car headlights, and using this information, we obtain the three main magnitudes used in traffic monitoring: number of vehicles per time unit, i.e. intensity, mean speed, and occupancy. Extensive evaluations show that the system exhibits an excellent performance with real-time video sequences from cameras of the Traffic Authority of the city of Valencia, Spain.

关键词： Vehicles Cameras Cities and towns Real time systems Algorithm design and analysis image processing conferences

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An Automated Deep Learning based Ensemble Approach for Malignant Melanoma Detection using Dermoscopy images 18

An Automated Deep Learning based Ensemble Approach for Malig...

引用

18th International conference on Frontiers of Information Technology (FIT)

作者： Safdar, Khadija Akbar, Shahzad Gull, Sahar Riphah Int Univ Dept Comp Faisalabad Campus Rawalpindi Pakistan

ISBN: (纸本)9781665408301

Melanoma is categorized as an extremely lethal type of skin cancer. Its earlier and timely diagnosis is the only solution to minimize the fatality rate in patients. Various computer aided diagnosis (CAD) systems have been designed which show great advancement in lesion segmentation and classification. the Model Blending approach is the ensemble of multiple Convolutional Neural networks (CNNs) which results into lower variance in their output predictions, thus reducing the generalization error by many folds. this proposed study is designed to provide a fully automated deep learning based melanoma detection framework using multiple, standard skin lesion databases including PH2, Med-Node and ISIC-2020. Extensive pre-processing on dermoscopic images is performed to remove useless artefacts and preserve illumination effects. Semantic segmentation is carried out using a Fully Convolutional Network (FCN-8), followed by image augmentation methods. An ensemble of deep ResNet-50 and Inception-V3 has been designed to perform binary classification (benign or melanoma) of lesion images. the segmentation approach exhibited satisfactory performance with an accuracy score of 94%, Dice coefficient 88% and Jaccard similarity coefficient 89%. In the classification task, the pre-trained CNN model successfully recorded an average accuracy of 93.4%, specificity 96.5%, ROC-AUC 98.8% and average precision 89.5% on augmented dermoscopy images. the classification results of the model are deeply analyzed and compared with other ultra-modern melanoma diagnosis frameworks which indicate that our proposed model successfully achieved better segmentation and classification results. this ensemble approach is fully practicable and can be deployed by dermatologists as their medical assistant/guide.

关键词： skin cancer detection deep learning (DL) dermoscopy melanoma image segmentation

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Embedded Cell Count Algorithm for Cultured Tissue Characterization

Embedded Cell Count Algorithm for Cultured Tissue Characteri...

引用

18th International-Federation-of-Automatic-Control (IFAC) conference on Technology, Culture and International Stability (TECIS)

作者： Yusifli, Elmar Yahiaoui, Reda Lajoie, Isabelle Yusifov, Salahaddin UBFC Besancon Nanomed Lab Besancon France Femto ST Inst Besancon France Bourgogne Franche Comte Univ Besancon France Azerbaijan State Oil & Ind Univ Baku Azerbaijan

Regenerated tissue is a one of the wide developing research topics of nowadays. the characterization of tissue in culture permits to regulate its final mechanical properties and to test the influence of pharmaceutical and cosmetic products on it. For this purpose, an embedded vision system was developed in order to characterize the mechanical properties of tissue in culture. thus, the aim of the present study was to develop an embedded, automated and portable cell count algorithm which can quantify the fibroblast cells from the fluorescent images taken by developed FPGA driven embedded high definition (HD) camera module. the developed algorithm was integrated into "uCell" software and tested on fluorescent images. the automated cell counting results were compared with manual counting and showed that the algorithm is reliable in 95% percentage of cases. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Biomedical systems Embedded Vision systems image processing algorithms Control Application

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Fast detection of small infrared objects in maritime scenes using local minimum patterns

Fast detection of small infrared objects in maritime scenes ...

引用

IEEE International conference on image processing

作者： Baojun Qi Tao Wu Bin Dai Hangen He Institute of Automation College of Mechatronics Engineering and Automation National University of Defense Technology Changsha China

this paper describes a novel approach for fast detecting small maritime objects in infrared (IR) images. It is based on the local minimum patterns (LMP), which are theoretically the approximations of some stationary wavelet transforms (SWT). Using LMP to estimate the background with a single image, we obtain an object-aware saliency map by background subtraction. Regions of potential objects are then segmented by an adaptive threshold based on the histogram of the saliency map. We finally propose a fast clustering algorithm for localizing objects from segmented regions. Extensive experiments on challenging data sets show a competitive performance.

关键词： Noise Object detection Estimation Clustering algorithms Noise measurement conferences Real time systems

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Chameleon: image Style Transfer Based on image Classification Networks

Chameleon: Image Style Transfer Based on Image Classificatio...

引用

IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Haobo Li Ratan Dey Lei Gong Chao Wang NYU Shanghai USTC China School of Computer Science USTC China

ISBN: (纸本)9781728176505

In recent years, deep neural networks enabled computers to extract features of images; this stimulated interest in image style transfer. Since the first NST algorithm, many schemes are proposed to accelerate the process. Yet, these methods more or less sacrifice the visual quality of the output. In this paper, we analyze two precursive algorithms and generalize the results. We propose an image Style Transfer method based on image Classification Networks. With Chameleon, we accelerate the runtime by 11 times and we show that general CNN techniques would improve the stylization process. Our work provides novel insights into the classification capacity of CNNs and demonstrates the potential of NST algorithms.

关键词： Computers Visualization Runtime High performance computing conferences Neural networks Feature extraction

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Incremental orthogonal projective non-negative matrix factorization and its applications

Incremental orthogonal projective non-negative matrix factor...

引用

IEEE International conference on image processing

作者： Dong Wang Huchuan Lu School of Information and Communication Engineering Dalian University of Technology Dalian China

In this paper, we propose an incremental orthogonal projective non-negative matrix factorization algorithm (IOPNMF), which aims to learn a parts-based subspace that reveals dynamic data streams. there exist two main contributions. Firstly, our proposed algorithm can learn parts-based representations in an online fashion. Secondly, by using projection and orthogonality constrains, our IOPNMF algorithm can guarantee to learn a linear parts-based subspace. To demonstrate the effectiveness of our method, we conduct two kinds of experiments, incremental learning parts-based components on facial database and visual tracking on several challenging video clips. the experimental results show that our IOPNMF algorithm learns parts-based representations successfully.

关键词： Vectors Visualization Databases Heuristic algorithms image processing Learning systems conferences

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EFFICIENT image CORRESPONDENCE MEASUREMENTS IN AIRBORNE APPLICATIONS USING INERTIAL NAVIGATION SENSORS

EFFICIENT IMAGE CORRESPONDENCE MEASUREMENTS IN AIRBORNE APPL...

引用

European Signal processing conference

作者： Matthew Woods Aggelos Katsaggelos Northwestern University Department of Electrical Engineering and Computer Science McCormick School of Engineering and Applied Sciences

this paper presents a computationally efficient method for the measurement of a dense image correspondence vector field using supplementary data from an inertial navigation sensor. the application is suited to airborne imaging systems (such as on a UAV) where size, weight, and power restrictions limit the amount of onboard processing available. the limited processing will typically exclude the use of traditional, but expensive, optical flow algorithms such as Lucas-Kanade. Alternately, the measurements from an inertial navigation sensor lead to a closed-form solution to the correspondence field. Airborne platforms are also well suited to this application because they already possess inertial navigation sensors and global positioning systems (GPS) as part of their existing avionics package. We derive the closed form solution for the image correspondence vector field based on the inertial navigation sensor data. We then show experimentally that the inertial sensor solution outperforms traditional optical flow methods both in processing speed and accuracy.

关键词： INERTIAL NAVIGATION Sensors Closed-form solutions images processing SPEED Vector field Optic Flow Global Positioning systems Correspondence

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Speech enhancement using ICA with Bessel features

Speech enhancement using ICA with Bessel features

引用

International conference on systems, Signals and image processing, IWSSIP

作者： L Balakrishna P. V. Ashok Kumar Chetana Prakash Surayakanth V. Gangashetty Blekinge Tekniska Hogskola Karlskrona SE Speech and Vision Laboratory International Institute of Information Technology Hyderabad India

the Independent Component Analysis with Reference (ICA - R) also called as constrained ICA (cICA) extracts only the desired source signals from the mixture of source signals by incorporating some prior information into the separation process. To overcome the problem of designing the reference signal when there is no prior information about the desired signal in the cICA, an improved method is proposed to use a different speech signal generated by the same physical source. the cICA is extended to use Bessel coefficients of the observed signals and the reference signal for processing as they converge faster than the other transformations. Since the Bessel functions provide the desired properties, efficient in representing speech signals, less memory storage they have been exploited in speech processing. the results demonstrate the efficiency of the proposed method.

关键词： Speech Feature extraction Signal processing algorithms Independent component analysis Speech enhancement Algorithm design and analysis

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Hand-Eye Calibration Based on Screw Motions

Hand-Eye Calibration Based on Screw Motions

引用

International conference on Pattern Recognition

作者： Zijian Zhao Yuncai Liu Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China

When computer vision technique is used in robotics, robotic hand-eye calibration is a very important research task. Many algorithms have been proposed for hand-eye calibration. Based on these algorithms, we introduce a new hand-eye calibration algorithm in this paper, which employs the screw motion theory to establish a hand-eye matrix equation by using quaternion and gets a simultaneous result for rotation and translation by solving linear equations. the algorithm proposed in this paper has high and stable computational efficiency without non-linear minimization and can be understood easily. Both simulations and real experiments show the superiority of our algorithm over the comparative algorithms

关键词： Calibration Fasteners Robot vision systems Robot sensing systems Quaternions Iterative algorithms Cameras Computer vision Nonlinear equations Minimization methods

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An open systems approach to real-time signal processing using AltiVec technology

An open systems approach to real-time signal processing usin...

引用

conference on Digital Avionics systems (DASC)

作者： R. Jaenicke Mercury Computer Systems Inc. Chelmsford MA USA

Providing vector processing in a standard RISC chip, the AltiVecTM technology enhancements to the PowerPC/sup TM/ architecture hold the promise of the signal processing power of a DSP chip with the programming ease of a RISC chip. this paper explores how this new technology can fit into an open architecture for real-time image and signal processing. the open systems architecture described herein includes both software and hardware components. the open software architecture addresses how to achieve high performance and productivity for signal processing algorithms while using standard APIs and high-level languages to promote portability and maintainability. the hardware architecture addresses high-performance memory subsystem design and scalable communication bandwidth between multiple processors, also adhering to standards to facilitate technology insertion. the paper then addresses how to integrate AltiVec technology into the open software and hardware architectures. Finally, an example implementation is provided for a real-time multiprocessor system.

关键词： Open systems Real time systems Signal processing Computer architecture Hardware Reduced instruction set computing Signal processing algorithms Digital signal processing chips Software architecture Productivity

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