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Application of localized soft-assignment coding and CSIFT in image classification 14

Application of localized soft-assignment coding and CSIFT in...

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6th international conference on internet Multimedia Computing and Service, ICIMCS 2014

作者： Li, Qing Chen, Junzhou Peng, Qiang Wu, Xiao School of Information Science and Technology Southwest Jiaotong University Chengdu Sichuan 610031 China

ISBN: (纸本)9781450328104

As one of the most robust local invariant feature descriptors, SIFT has been widely used in assorted computer vision and pattern recognition applications. Most traditional image classification systems depend on the gray-based SIFT descriptors, which only calculate the gray layer variations of the images. However, the ignorance of the color information may lead to misclassification of images. In this article, we concentrate primarily on improving the performance of existing image classification algorithms by supplying color information. To accomplish this purpose, various kinds of colored SIFT descriptors were introduced and implemented. Localized soft-assignment coding (LSC), a state-of-the-art sparse coding algorithm, was employed to build a novel image classification system. Real experiments on several benchmarks show that, with the enhancements of color information, the proposed method obtains more than 1% improvement of classification accuracy on the Caltech-101 dataset and approximate 3% improvement of classification accuracy on the Caltech-256 dataset. Copyright 2014 ACM.

关键词： image classification

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1st Euro-China conference on Intelligent Data Analysis and Applications, ECC 2014

1st Euro-China Conference on Intelligent Data Analysis and A...

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1st Euro-China conference on Intelligent Data Analysis and Applications, ECC 2014

ISBN: (纸本)9783319077727

The proceedings contain 72 papers. The special focus in this conference is on Innovative computing technology for applications, Context awareness services and intelligent computing applications, Smart living technology, signal recognition and image processing and Computational systems and its applications. The topics include: A high availability and high scalability to in-cloud enterprise resource planning system;prostate tumor identification in ultrasound images;QoS of triple play services in LTE networks;new genetic algorithm for the p-median problem;hybrid bat algorithm with artificial bee colony;compact bat algorithm;wireless sensor and mobile application of an agriculture security system;knowledge integration for diabetes drugs ontology;increasing customer loyalty in internet marketing;a novel approach for sustainable supplier selection using differential evolution;a new clustering algorithm based on probability;assistive listening system using a human-like auditory processing algorithm;an adaptive harmony search algorithm with Zipf distribution;LED lighting applications for digital life;the exclusive challenge in pervasive learning technology - points from the tiger;human fetus health classification on Cardiotocographic data using random forests;evolutionary weighted ensemble for EEG signal recognition;hierarchical ensemble of global and local classifier for texture classification;pedestrian detection using HOG dimension reducing in video surveillance;reversible watermarking based on position determination and three-pixel block difference and a novel encryption algorithm for quantum images based on quantum wavelet transform and diffusion.

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Precision mosaicking of multi-images based on conic-epipolar constraint 1

Precision mosaicking of multi-images based on conic-epipolar...

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1st Euro-China conference on Intelligent Data Analysis and Applications, ECC 2014

作者： Yi, Meng Chu, Yan Yan, Yunyi School of Electronic and Control Engineering Chang’an University Xian710046 China School of Aerospace Science and Technology Xidian University Xian710071 China

ISBN: (纸本)9783319077727

In this paper a robust mosaic method based on conic-epipolar constraint is proposed. The main characteristics of the proposed method include: (1) Several new methods are presented to realize fast and accurate interest points extraction under various different scenes, including SURF based feature points detection, interest points selection based on uniform distribution. (2) the transformation parameters are estimated using the invariant of conicepipolar constraint and the most "useful" matching points are used to register the images. Experiment results illustrate that the proposed algorithm carries out real-time image registration and is robust to large image translation, scaling and rotation. © 2014 Springer international Publishing Switzerland. All rights reserved.

关键词： image registration

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Both Hands Pose Recognition Control System based on Skeleton Tracking

Both Hands Pose Recognition Control System Based on Skeleton...

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IEEE international conference on signal Processing, Communications and Computing (ICSPCC)

作者： Zhang, Tong Lu, Aiyu Huang, Zhichao Guilin Univ Elect & Technol Sch Mech & Elect Engn Guilin Peoples R China

ISBN: (纸本)9781479952748

This paper presents a method for two-hand pose recognition based on skeleton information, aiming at the problem of low recognition rate and poor robustness in the field of human-computer interaction by single hand. This method consists of two steps: two-hand positional information extraction and gesture recognition. In the first step, we utilize the Kinect depth image to acquire the position of both hands. The second step is the highlight of the proposed method, it locates the palms by hand nodes, extracts the right hand movement information which is trained by a Hidden Markov Model. This method has been verified by a experimental car control system and demonstrated good robustness in complex background environment.

关键词： Both hands pose recognition kinect depth image skeletal information hidden markov model

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image despeckling based on improved LMMSE wavelet shrinkage

Image despeckling based on improved LMMSE wavelet shrinkage

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2014 international conference on Mechatronics, Electronic, Industrial and Control Engineering, MEIC 2014

作者： Cui, Yanqiu Han, Min Faculty of Electronic Information and Electrical Engineering Dalian University of Technology China College of Information and Communication Engineering Dalian Nationalities University Dalian China

ISBN: (纸本)9789462520424

The automatic interpretation of SAR images is often extremely difficult due to speckle, a signal dependent noise, which is inherent of all active coherent imaging systems. Thus, despeckling has become a crucially important issue in SAR image processing. Wavelet theory provides a powerful tool for detecting image feature at different scales. Wavelet-based algorithms have been widely used to reduce speckle noise. In this paper, an adaptive despeckling method for synthetic aperture radar (SAR) images is proposed based on wavelet shrinkage. It follows the framework of the linear minimum mean square error (LMMSE) filter in the wavelet domain proposed for speckle suppression, but improves the parameter estimation method by taking into account the distribution property of wavelet coefficients based on the bilateral kernel regression. An improved adaptive shrinkage function is obtained and each coefficient is decided separately. Simulation results for the simulated SAR images demonstrate the proposed modified method outperforms some representative SAR despeckling methods when the noise is not serious. © 2014. The authors - Published by Atlantis Press.

关键词： Synthetic aperture radar

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Medical image De-noising schemes using wavelet transform with fixed form thresholding 11

Medical image De-noising schemes using wavelet transform wit...

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2014 11th international Computer conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2014

作者： Mustafa, Nadir Li, Jian-Ping Kumar, Kamlesh Khan, Saeed Ahmed Khalil, Mohammed Mohaned, Giess School of Computer Science and Engineering UESTC Chengdu611731 China School of Microelectronics and Solid Sate Electronics UESTC Chengdu611731 China School of Communication and Information Engineering UESTC Chengdu611731 China

ISBN: (纸本)9781479972081

Medical Imaging is currently a hot area of biomedical engineers, researchers and medical doctors as it is extensively used in diagnosing of human health and by health care institutes. The imaging equipment is the device, which is used for better image processing and highlighting the important features. These images are affected with random noise during acquisition, analyzing and transmission process. This results in blurry image visible in low contrast. The image De-noising System (IDs) is used as a tool for removing image noise and preserving important data. image de-noising is one of the most interesting research areas among researchers of technology-giants and academic institutions. For Criminal Identification systems (CIS) & Magnetic Resonance Imaging (MRI), IDs is more beneficial in the field of medical imaging. This paper proposes algorithm for de-noising medical images using different types of wavelet transform, such as Haar, Daubechies, Symlets and Biorthogonal. In this paper noise image quality has been evaluated using filter assessment parameters like Variance, Mean Square Error (MSE) and Peak signal to Noise Ratio (PSNR). It has been observed form the numerical results that, the performance of proposed algorithm reduced the mean square error and achieved best value of peak signal to noise ratio (PSNR). In this paper, the wavelet based de-noising algorithm has been investigated on medical images along with threshold. © 2014 IEEE.

关键词： Mean square error

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Research and design of real-time monitoring tidal system based on internet of things

Research and design of real-time monitoring tidal system bas...

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2nd international conference on Communications, signal Processing, and systems, CSPS 2013

作者： Wu, Jincheng Yang, Xicheng Sun, Jingrui Wu, Yanbo College of Electronic and Communication Engineering Tianjin Normal University Tianjin China Hydrographic Surveys Brigade of Tianjin MSA Tianjin China College of Computer and Information Engineering Tianjin Normal University Tianjin China

ISBN: (纸本)9783319005355

This paper introduces the embedded NUT/OS operating system and TCP/IP protocol stack in an 8-bit Atmega 128 MCU. It combines RTL8019AS network control chip with the peripheral hardware circuit. It takes the average filtering algorithm by using the digital filtering technology in middle value. The dual function of data processing and Http Web server are now become reality. In the monitoring terminal and based on the internet of things through the IE browser to login, access and click the embedded in MCU web webpage hyperlink. The remote real-time monitoring can be obtained through both the MCU collection and the tidal dynamic characteristics of processing. Using the embedded operating system to replace the traditional PC as the web server, the utility model has the advantages of lower power consumption, size and cost of the server. © 2014 Springer international Publishing Switzerland.

关键词： internet of things

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Design and implementation in image compression encryption of digital chaos based on MATLAB 1

Design and implementation in image compression encryption of...

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1st Euro-China conference on Intelligent Data Analysis and Applications, ECC 2014

作者： Li, Zhiqiang Sun, Xiaoxin Ding, Qun Electronic Engineering Heilongjiang University HarbinHeilongjiang China

ISBN: (纸本)9783319077727

A chaotic encryption algorithm used digital image compression and encoding technology based on discrete cosine transform and discrete wavelet transform is proposed in this paper. By taking the redundancy of images and the shortcomings of human visual into consideration, this passage conducts the original image compression firstly, and then uses the discrete Logistic chaotic sequence to achieve image encryption and transmission. From the theoretical analysis and experimental results: this compression encryption algorithm is feasible and it decreases the redundant information of the image, furthermore, it reduces the storage space and improves the efficiency of data transmission, computer simulations proved the security of the image processing method. © 2014 Springer international Publishing Switzerland. All rights reserved.

关键词： Discrete wavelet transforms

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Does Dehazing Model Preserve Color Information?

Does Dehazing Model Preserve Color Information?

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international IEEE conference on signal-image Technologies and internet-based System

作者： Jessica El Khoury Jean-Baptiste Thomas Alamin Mansouri Le2i Université de Bourgogne Bâtiment Mirande – UFR Sciences & Techniques Dijon Cedex France

image dehazing aims at estimating the image information lost caused by the presence of fog, haze and smoke in the scene during acquisition. Degradation causes a loss in contrast and color information, thus enhancement becomes an inevitable task in imaging applications and consumer photography. Color information has been mostly evaluated perceptually along with quality, but no work adresses specifically this aspect. We demonstrate how dehazing model affects color information on simulated and real images. We use a convergence model from perception of transparency to simulate haze on images. We evaluate color loss in terms of angle of hue in IPT color space, saturation in CIE LUV color space and perceived color difference in CIE LAB color space. Results indicate that saturation is critically changed and hue is changed for achromatic colors and blue/yellow colors, where usual image processing space are not showing constant hue lines. We suggest that a correction model based on color transparency perception could help to retrieve color information as an additive layer on dehazing algorithms.

关键词： image color analysis Convergence Atmospheric modeling Scattering image restoration Surface treatment Computational modeling

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ABDOMINAL image SEGMENTATION ON ANDROID based MOBILE DEVICES

ABDOMINAL IMAGE SEGMENTATION ON ANDROID BASED MOBILE DEVICES

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22nd IEEE signal Processing and Communications Applications conference (SIU)

作者： Tuncer, Seda Arslan Alkan, Ahmet Firat Univ Enformat Bolumu Elazig Turkey Kahramanmaras Sutcu Imam Univ Elekt Elekt Muhendisligi Bolumu TR-46050 Kahramanmaras Turkey

ISBN: (纸本)9781479948741

Medical services have a great importance in international development. Hospitals have been forced to reinforce their health services and technological infrastructure developments because of the rapid development of information technology. Liver segmentation is a difficult task because of its variable shape it can be thought as a large footprint. In addition, the nearness of its color and texture to surrounding organs tissues makes its boundaries unclear. In this study, computed tomography images have been used to segment the liver that was the first part of the lesion liver detection. Obtained liver segmentation result achievements have been compared with the manual segmentation of the radiologists. Segmentation accuracies have been assessed by using Zijdenbos similarity index. The applied methodology achieved approximately 93% segmentation accuracy. After liver segmentation stage, this segmentation procedure is located on mobile environment that medical experts can access the software with their mobile devices. This is the first part of the ongoing decision support system study that can be used to define diagnostic lesions on the liver via android-based mobile devices.

关键词： Decision support systems

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