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检索条件"任意字段=Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing"

共 557 条记录，以下是271-280 订阅

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Deep learning in medical image analysis: Recent advances and future trends 11

Deep learning in medical image analysis: Recent advances and...

引用

11th International conferences on computer graphics, Visualization, computer vision and image processing, CGVCVIP 2017 and International conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2017

作者： Goceri, Evgin Goceri, Numan Akdeniz University Engineering Faculty Computer Engineering Department Dumlupinar Boulevard Antalya07058 Turkey Evosoft GmbH Business Function Information Technology Solutions Marienbergstr. 78-80 Nuremberg90411 Germany

ISBN: (纸本)9789898533661

Deep Learning (DL) methods are a set of algorithms in Machine Learning (ML), which provides an effective way to analysis medical images automatically for diagnosis/assessment of a disease. DL enables higher level of abstraction and provides better prediction from datasets. therefore, DL has a great impact and become popular in recent years. In this work, we present advances and future researches on DL based medical image analysis. © 2017.

关键词： image analysis

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Regularized bootstrap filter for image restoration 11

Regularized bootstrap filter for image restoration

引用

作者： Marhaba, Bassel Zribi, Mourad 50 Rue Ferdinand Buisson BP 719 Calais Cedex62228 France

ISBN: (纸本)9789898533661

the bootstrap filter is a method for nonlinear Bayesian filtering that uses stochastic sampling for an approximation of probability density functions. It is wide spread and perhaps the most implemented method in particle filters. It can be considered as the repetition of the sampling importance resampling over time. In this paper, we propose an image restoration method based on bootstrap filter using multivariate kernel density estimation. the multivariate Kernel density estimation of posterior density is used in the resampling step. this estimation technique makes it possible to regularize the bootstrap filter, which gives the name of the regularized bootstrap filter. Experimental results are shown to demonstrate the performance and effectiveness of our method in restoring images. © 2017.

关键词： image reconstruction

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A steganographic image-based approach for protection of pdf files 11

A steganographic image-based approach for protection of pdf ...

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作者： Gorbachev, Valery N. Denisov, Lev A. Kainarova, Elena M. Metelev, Ivan K. High School of Printing and Mediatechnologies St-Petersburg State University of Industrial Technology and Design St.-Petersburg Russia

ISBN: (纸本)9789898533661

Digital images can be copied without an authorization and have to be protected. Two schemes for watermarking images in pdf document were considered. Both schemes include a converter to extract images from the pdf pages and return them back. Frequency and spatial domain embedding were used for hiding a message represented by a binary pattern. We considered visible and invisible watermarking and found that spatial domain LSB technique is more preferable than frequency embedding with the help of DWT. © 2017.

关键词： Watermarking

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Intensity normalization in brain MR images using spatially varying distribution matching 11

Intensity normalization in brain MR images using spatially v...

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作者： Goceri, Evgin Akdeniz University Engineering Faculty Computer Engineering Department Dumlupinar Boulevard Antalya07058 Turkey

ISBN: (纸本)9789898533661

Comparison of medical images is frequently needed for diagnosis or evaluation of a progressive disease. the comparison is performed by alignment and registration of images or warping them with a transformation function. It is possible to compare images of the same patient, which have been taken at different time periods to detect or quantify the changes that might have taken place in-between acquisitions. Also, a comparison can be performed using images from different subjects. In a Magnetic Resonance image (MRI), intensity values do not only depend on the underlying tissue type. they also depend on developmental processes, scanner-related intensity artifacts and disease progression. therefore, spatial normalization, which brings an image into the coordinate system of a template using a coordinate transformation to make meaningful comparisons of spatially varying data, is required. In this work, an intensity normalization method based on spatially varying distribution matching is proposed. the efficiency of the proposed method has been shown on brain MRIs. © 2017.

关键词： Diagnosis

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引用

作者： Hsin, Chengho Chen, Zheng Chiu Shin, Shaw-Jyh Department of Communications Engineering Feng Chia University Taichung Taiwan

ISBN: (纸本)9789898533661

Automatic image quality assessment (IQA) plays a vital role in various image and video processing applications. the most successful approach is based on the concept of structural similarity. In this paper, a high-performance full reference IQA model based on this approach is proposed that utilizes joint feature similarity and opponent weighted pooling. three types of features including gradient magnitude, high-pass filtered component, and luminance mean are used altogether to establish a joint similarity map, which can account for most of the distortions encountered in real applications. By considering the shortcomings of the commonly used weighted pooling, a novel opponent weighting function is devised to assign larger weights to the distorted structures, smaller weights to those distortion-free structures. the experimental results on three image databases show that the proposed index provides comparable or better predictions than the competing state-of-the-art IQA metrics in the literature, it is effective and reliable. © 2017.

关键词： image quality

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A novel edge-preserving filter for medical image enhancement 11

A novel edge-preserving filter for medical image enhancement

引用

作者： Chen, Tzong-Jer Niu, Sixian Lin, Chengde Lu, Ronghui School of Information Engineering Baise University Baise Guangxi533000 China Section of Laboratory Management Center Wuyi University Wuyishan Fujian354300 China

ISBN: (纸本)9789898533661

this paper presents a new approach for image enhancement. Traditional filters are usually employed to suppress the noise, but often lead to a blurred or enhanced edge that enforces noise. An edge-preserving algorithm for digital images based on spatial autocorrelation is proposed. the spatial statistical calculation is used as a threshold for adaptive filtering. Two synthetic images with various pixel values and Gaussian noise were produced for verification. the SNR of both noisy synthetic images are significantly raised. the PET images of various numbers of iterations using the proposed scheme are clearer than those using the non-adaptive average filter. the algorithm visual processing is good but more forward research is required. © 2017.

关键词： Adaptive filters

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3D face reconstruction from image(s) based on gender and ethnicity generic models 11

3D face reconstruction from image(s) based on gender and eth...

引用

作者： Liu, Zexi Cohen, Fernand Kepler Group LLC New YorkNY10016 United States Drexel University Electrical and Computer Engineering PhiladelphiaPA19104 United States

ISBN: (纸本)9789898533661

In this paper, we describe a novel approach for creating a 3D face model from an image or images of a human face taken at a priori unknown poses using gender and ethnicity specific 3D generic face models. this process starts with a generic face model, which is morphed as images of the person become available using pre-selected point landmarks that are tessellated to form a high resolution triangular mesh. the 3D face synthesis allows for accurate pose estimation as well as face identification in 3D. the estimation of the unknown pose is achieved through the use of a Levenberg-Marquardt optimization process. Encouraging experimental results are obtained in controlled environment with high resolution images under ideal illumination condition, as well as for images taken in uncontrolled environment under arbitrary illumination with low resolution cameras. © 2017.

关键词： Ray tracing

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Physically-based linear blend skinning 11

Physically-based linear blend skinning

引用

作者： Kim, Youngbeom Han, Junghyun Korea Electronics Technology Institute Seoul Korea Republic of Department of Computer Science and Engineering Korea University Seoul Korea Republic of

ISBN: (纸本)9789898533661

this paper proposes an example-based linear blend skinning system that incorporates the torques applied to the skeletal joints. For this purpose, deformation gradient predictors are trained using a set of examples with the minimum torque and another set with the maximum torque. the run-time algorithm takes an animated skeleton and joint torques as input. It computes the deformation gradients from the predictors. they are then combined with torque-based blending functions. the functions are trained at the preprocessing stage using a set of skeleton-mesh-torque examples with the aid of statistical analysis. the experimental results show that the proposed system runs at real-time and produces quite realistic skinned meshes based on the input torques. © 2017.

关键词： Torque

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Extending Guided image Filtering for High-Dimensional Signals 11

Extending Guided Image Filtering for High-Dimensional Signal...

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11th International Joint conference on computer vision, Imaging and computer graphics theory and Applications (VISIGRAPP)

作者： Fujita, Shu Fukushima, Norishige Nagoya Univ Nagoya Aichi Japan Nagoya Inst Technol Nagoya Aichi Japan

ISBN: (纸本)9783319648705;9783319648699

this paper presents an extended method of guided image filtering (GF) for high-dimensional signals and proposes various applications for it. the important properties of GF include edge-preserving filtering, local linearity in a filtering kernel region, and the ability of constant time filtering in any kernel radius. GF can suffer from noise caused by violations of the local linearity when the kernel radius is large. Moreover, unexpected noise and complex textures can further degrade the local linearity. We propose high-dimensional guided image filtering (HGF) and a novel framework named combining guidance filtering (CGF). Experimental results show that HGF and CGF can work robustly and efficiently for various applications in image processing.

关键词： image processing

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A cloud-based data analytical framework for medium scale scientific applications 11

A cloud-based data analytical framework for medium scale sci...

引用

作者： Bharathi, Reena Shirwaikar, Shailaja Kharat, Vilas Aher, Gajanan Department of Computer Science Savitribai Phule Pune University Pune India Department of Physics Nowrosjee Wadia College Pune India

ISBN: (纸本)9789898533661

Data intensive science focuses on extracting, exploring and mining knowledge from a huge ever growing data that is obtained from various instruments and simulations. Scientific applications earlier were using High Performance computers, then focus was on cluster computing and then towards grid computing. As the technologies in the networking domain improved, distributed networking and cloud computing have become prevalent. Scientific applications using cloud computing paradigm, faces several challenges such as data transportation cost, computing costs, data privacy and data security. A small dedicated cluster, with a cloud like interface, designed from low cost commodity machines, is often affordable by a group or an individual researcher, and is reasonably cost-effective. In this paper, the authors demonstrate how a low cost inexpensive cluster setup can be designed and customized as a cloud based data analytical services framework, to provide data storage and analytical capabilities, for exploratory needs of a small or medium scale scientific application. © 2017.

关键词： MapReduce

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