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检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

共 1407 条记录，以下是581-590 订阅

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Efficient Adaptive Weighted Minimization for Compressed Sensing Magnetic Resonance image Reconstruction 16

Efficient Adaptive Weighted Minimization for Compressed Sens...

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10th Indian conference on computer vision, Graphics and image processing (ICVGIP)

作者： Datta, Sumit Deka, Bhabesh Tezpur Univ Dept ECE CVIP Lab Tezpur 784028 Assam India

ISBN: (纸本)9781450347532

Compressed sensing magnetic resonance imaging (CSMRI) have demonstrated that it is possible to accelerate MRI scan time by reducing the number of measurements in the k-space without significant loss of anatomical details. The number of k-space measurements is roughly proportional to the sparsity of the MR signal under consideration. Recently, a few works on CSMRI have revealed that the sparsity of the MR signal can be enhanced by suitable weighting of different regularization priors. In this paper, we have proposed an efficient adaptive weighted reconstruction algorithm for the enhancement of sparsity of the MR image. Experimental results show that the proposed algorithm gives better reconstructions with less number of measurements without significant increase of the computational time compared to existing algorithms in this line.

关键词： Magnetic resonance imaging compressed sensing l(1)-norm total variation regularization image reconstruction

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A novel quality detection approach for non-mark printing image 4th

A novel quality detection approach for non-mark printing ima...

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4th international conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016

作者： Zhang, Qiong Li, Bin Shen, Minfen Shen, Haihong Shantou University Medical College ShantouGuangdong China Shantou Institute of Ultrasonic Instruments Co. Ltd. ShantouGuangdong China Shantou Polytechnic ShantouGuangdong China Department of Electronic Engineering Shantou University ShantouGuangdong China

ISBN: (纸本)9789811039683

In printing business, a lot of printing products have no apparent marks for registration, which cause the difficulty of printing image quality autodetection. Aiming to this problem, a novel quality detection approach for non-mark printing image is proposed in this paper. The proposed approach mainly consists of the region feature based registration region selection and fast shape-based image matching method and an improved difference matching method to detect the printing defects. The proposed approach is realized by the well-known machine vision software HALCON. The experiment results show that the proposed approach can detect the printing defects efficiently with high accuracy, fast speed and strong robustness. © Springer Nature Singapore Pte Ltd. 2017.

关键词： image enhancement

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Support to the Diagnosis of the Pap Test, Using computer Algorithms of Digital image processing 15th

Support to the Diagnosis of the Pap Test, Using Computer Alg...

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15th Mexican international conference on Artificial Intelligence (MICAI)

作者： Rodriguez-Vazquez, Solangel Univ Ciencias Informat Ctr Geoinformat & Senales Digitales GEYSED Havana Cuba

ISBN: (纸本)9783319624341;9783319624334

40 years ago, uterine cervix cancer represented one of the greatest threats of cancer death among women. With continued advances in medicine and technology, deaths from this disease have declined significantly. The investigations concerning this issue have been determined key symptoms to detect the disease in time to give timely treatment. Conventional cytology is one of the most commonly used techniques being widely accepted because it's inexpensive, and provide many control mechanisms. In order to alleviate the workload to specialists, some researchers have proposed the development of computer vision tools to detect and classify the changes in the cells of the cervix region. This research aims to provide researchers with an automatic classification tool applicable to the conditions in medical and research centers in the country. This tool classifies the cells of the cervix, based solely on the features extracted from the nucleus region and reduces the rate of false negative Pap test. From the study, a tool using the technique k-nearest neighbors with distance Manhattan, which showed high performance while maintaining AUC values greater than 91% and reaching 97.1% with a sensitivity of 96% and 88% of obtained specificity.

关键词： Uterine cervical cancer Cervical cells Cell classification kNN Cell nucleus Pap test

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international conference on Advances in Information and Communication Technology, ICTA 2016

International Conference on Advances in Information and Comm...

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Proceedings of the international conference on Advances in Information and Communication Technology, ICTA 2016

ISBN: (纸本)9783319490724

The proceedings contain 69 papers. The special focus in this conference is on Advances in Information and Communication Technology. The topics include: Multimodal based clouds computing systems for healthcare and risk forecasting based on subjective analysis;telematics and advanced transportation services;toward affective speech-to-speech translation;a computer vision based machine for walnuts sorting using robot operating system;a fpga based two level optimized local filter designfor high speed image processing applications;a frequency dependent investigation of complex shear modulus estimation;a method to enhance the remote sensing images based on the local approach using kmeans algorithm;a method for clustering and identifying http automated software communication;a new neuro-fuzzy inference system for insurance forecasting;a new schema to identify s-farnesyl cysteine prenylation sites with substrate motifs;a novel framework based on deep learning and unmanned aerial vehicles to assess the quality of rice fields;a semi-supervised learning method for hybrid filtering;a study on fitness representation in genetic programming;an evaluation of hand pyramid structure for hand representation based on kernels;an exploratory study on students’ performance classification using hybrid of decision tree and naïve bayes approaches;an iterative method to solve boundary value problems with irregular boundary conditions;classifying human body postures by a support vector machine with two simple features;comparing modified pso algorithms for mrs in unknown environment exploration and estimation localization in wireless sensor network based on multi-objective grey wolf optimizer.

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A Review on image processing and image Segmentation.

A Review on Image Processing and Image Segmentation.

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international conference on Data Mining and Advanced Computing (SAPIENCE)

作者： Kuruvilla, Jiss Sukumaran, Dhanya Sankar, Anjali Joy, Siji P. Sree Narayana Gurukulam Coll Engn Dept Comp Applicat Kadayiruppu Kerala India Nirmala Coll Muvattupuzha Dept Comp Applicat Muvattupuzha Kerala India

ISBN: (纸本)9781467385947

A methodological study on significance of image processing and its applications in the field of computer vision is carried out here. During an image processing operation the input given is an image and its output is an enhanced high quality image as per the techniques used. image processing usually referred as digital image processing, but optical and analog image processing also are possible. Our study provides a solid introduction to image processing along with segmentation techniques, computer vision fundamentals and its applied applications that will be of worth to the image processing and computer vision research communities.

关键词： image restoration image segmentation Face Detection Character Recognition Signature Verification Biometrics Automatic Target Recognition Fuzzy C-Mean

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On the evaluation of cost functions for parameter optimization of a multiscale shape descriptor 17

On the evaluation of cost functions for parameter optimizati...

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17th IEEE international Symposium on Signal processing and Information Technology, ISSPIT 2017

作者： Carneiro, Allan C. Lopes, Jose G. F. Neto, Jeova F. S. Rocha Souza, Marcelo M. S. Medeiros, Fatima N. S. Bezerra, Francisco N. Universidade Federal Do Ceará Ceará Brazil Brown University ProvidenceRI United States Instituto Federal de Educacaõ Ciência e Tecnologia Do Ceará Ceará Brazil

ISBN: (纸本)9781538646625

Shape description often relies on parameter adjustment in order to configure a meaningful scale that enables a computer vision task. Instead of manual interaction, which is prohibitive for large datasets, an alternative solution towards supporting multiscale methodology is to apply metaheuristic optimization. Nevertheless, the cost function assigned to the optimization process is an open question that we fully address in this paper. Our investigation describes the influence of the cost function on the performance of an optimized multiscale shape descriptor using three distinct clustering metrics: The Silhouette, Davies-Bouldin and Calinski-Harabasz indices. Thus, we optimize the scale parameters of the Normalized Multiscale Bending Energy descriptor using the Simulated Annealing metaheuristic;both classification and retrieval experiments are conducted using a synthetic shape dataset (Kimia 99), two real plant leaf datasets (ShapeCN and Swedish) and the National Library of Medicine (NLM) pill image dataset (NLM Pills). Using the Bulls-eye ratio and the Accuracy measure, the performance evaluation showed that optimized descriptor with the Calinski-Harabasz cost function underperformed other functions for datasets where there is high level of dissimilarity between classes. Particularly for the NLM Pills, where each class has a well-defined pattern and differences within pill classes are quite small, the Normalized Multiscale Bending Energy descriptor did not benefit from the optimization methodology. We also present a qualitative assessment of the cluster arrangements produced by the Self-Organizing Map (SOM) which reinforced that the three cost functions performed differently within the optimized shape descriptor. © 2017 IEEE.

关键词： Cost functions

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Ramanujan Sums Based image Kernels for computer vision

Ramanujan Sums Based Image Kernels for Computer Vision

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international conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)

作者： Krishnaprasad, P. Ramanujan, Ajeesh GEC Palakkad Dept Comp Engn Palakkad Kerala India

ISBN: (纸本)9781467399395

In the recent history, kernel methods had established themselves as powerful tools for computer vision. In this paper we introduce an integer image kernel function based on Ramanujan Sums which finds its place in image vision. The paper proves the validity of kernel function theoretically and also shows the application of the kernel in image vision. Ramanujan Sums are based on number theory and hence the new kernel matrix will contain only the integer values. Since the image processing involves complex matrix manipulations, the processing based on the new kernel will be computationally effective. The paper shows the applicability of the kernel in various context of image processing. By applying the theory of Ramanujan Sums for image kernel, we will show the intervention of numerical mathematics in machine learning which gives new directions for future research.

关键词： image Kernels Ramanujan Sums Edge Detection image Gradient computer vision

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Performance analysis of a moving target tracking method based on computer vision 8

Performance analysis of a moving target tracking method base...

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8th international conference on Measuring Technology and Mechatronics Automation (ICMTMA)

作者： Zheng, Ying Xiao, Su Huaibei Normal Univ Sch Comp Sci & Technol Huaibei 235000 Anhui Peoples R China

ISBN: (纸本)9781509023134

With the rapid development of computer technology, image processing technology is significantly improved. In this paper, a method of moving target tracking based on computer vison is studied. By combining with the results of the Marr image research, we first introduce the framework of computer vision theory via a bottom-up visual tracking processing method. To be specific, we take the rocket as an example. Consecutively applying the segmentation algorithm and the tracking algorithm, we find that the accuracy of separation and the instantaneity of image can be enhanced, which makes a significant contribution to the target tracking technology.

关键词： computer vision Partitioning algorithm Tracking algorithm Accuracy of separation

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Architecture for Dynamic Allocation of computer vision Tasks 16

Architecture for Dynamic Allocation of Computer Vision Tasks

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10th international conference on Distributed Smart Cameras (ICDSC)

作者： Weissenfeld, Axel Opitz, Andreas Pflugfelder, Roman Fernandez, Gustavo Austrian Inst Technol Donau City Str 1 A-1220 Vienna Austria

ISBN: (纸本)9781450347860

The use of reconfigurable computer vision architecture for image processing tasks is an important and challenging application in real time systems with limited resources. It is an emerging field as new computing architectures are developed, new algorithms are proposed and users define new emerging applications in surveillance. In this paper, a computer vision architecture capable of reconfiguring the processing chain of computer vision algorithms is summarised. The processing chain consists of multiple computer vision tasks, which can be distributed over various computing units. One key characteristic of the designed architecture is graceful degradation, which prevents the system from failure. This system characteristic is achieved by distributing computer vision tasks to other nodes and parametrizing each task depending on the specified quality-of-service. Experiments using an object detector applied to a public dataset are presented.

关键词： Passenger tracking reconfigurable vision processing architectures QoS Management

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FPGA-based stereo vision hardware for generating dense disparity maps 12

FPGA-based stereo vision hardware for generating dense dispa...

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12th IEEE international conference on Intelligent computer Communication and processing (ICCP)

作者： Vancea, Cristian-Cosmin Nedevshi, Sergiu Tech Univ Cluj Napoca Dept Comp Sci Cluj Napoca Romania

ISBN: (纸本)9781509038985

We propose a stereo vision hardware solution for image matching in real-time. Previous systems use dedicated special-purpose hardware and report different results in terms of performance, cost and quality. This work aims to build a library of hardware components for stereo vision systems, which can be ported to different architectures implemented in FPGA. Some modules were optimized in terms of FPGA resources used inside the chip. Meanwhile the ratio between the clock rate obtained for each component and the maximum frequency allowed by the FPGA was improved. We also introduce a multi-cycle pipeline implementation for SAD-based image matching, which facilitates a trade-off between chip area usage and operating speed.

关键词： stereovision image matching FPGA digital design

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