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检索条件"任意字段=2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017"

共 889 条记录，以下是281-290 订阅

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A photonic-based sensor data distribution approach for a real-time multi-processor system 25

A photonic-based sensor data distribution approach for a rea...

引用

25th signal processing and Communications Applications conference (SIU)

作者： Temucin, Huseyin Imre, Kayhan M. Hacettepe Univ Bilgisayar Muhendisligi Bolumu Ankara Turkey

ISBN: (纸本)9781509064946

Reaching the physical boundaries of the electronics-based communication approach has enabled photonic-based systems, which promise high-bandwidth and low power consumption, especially in multiprocessor systems, to be an alternative to electronic systems on chips. Real-time systems are specialized systems where tasks that cannot be completed in time cause high costs, and particularly communication with sensors and actuators have high importance. In this study, a sensor data distribution model is presented for multi-processor real-time systems that communicate with the photonic network on the chip. The study provides the distribution of the sensor data to the processors on the chip with the photonic infrastructure, and the results show that the proposed model is an effective approach for real-time systems.

关键词： Photonic network on chip real-time systems multiprocessor architectures

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ENHANCING FEATURE DISCRIMINATION FOR UNSUPERVISED HASHING 24

ENHANCING FEATURE DISCRIMINATION FOR UNSUPERVISED HASHING

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24th IEEE International conference on image processing (ICIP)

作者： Tuan Hoang Thanh-Toan Do Dang-Khoa Le Tan Ngai-Man Cheung Singapore Univ Technol & Design Singapore Singapore Univ Adelaide Adelaide SA Australia

ISBN: (纸本)9781509021758

We introduce a novel approach to improve unsupervised hashing. Specifically, we propose a very efficient embedding method: Gaussian Mixture Model embedding (Gemb). The proposed method, using Gaussian Mixture Model, embeds feature vector into a low-dimensional vector and, simultaneously, enhances the discriminative property of features before passing them into hashing. Our experiment shows that the proposed method boosts the hashing performance of many state-of-the-art, e.g. Binary Autoencoder (BA) [1], Iterative Quantization (ITQ) [2], in standard evaluation metrics for the three main benchmark datasets.

关键词： Embedding Hashing Discrimination enhancement Gaussian mixture model

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3D DEPTH ESTIMATION FROM A HOLOSCOPIC 3D image 4

3D DEPTH ESTIMATION FROM A HOLOSCOPIC 3D IMAGE

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4th International conference on signal processing and Integrated Networks (SPIN)

作者： Aondoakaa, Akuha Solomon Swash, Mohammad Rafiq Sadka, Abdul Brunel Univ Coll Engn Design & Phys Sci Uxbridge Middx England

ISBN: (纸本)9781509027972

This paper presents an innovative technique for 3D depth estimation from a single holoscopic 3D image (H3D). The image is captured with a single aperture holoscopic 3D camera, which mimics a fly's eye technique to acquire an optical 3D model of a true 3D scene. The proposed method works by extracting of optimum viewpoints images from a H3D image and it uses the shift and integration function in up-sampling the extracted viewpoints and then it performs the match block functions to match correspondence features between the stereoscopic 3D images. Finally, the 3D depth is estimated through a smoothing and optimizing process to produce a final 3D depth map. The proposed method estimates the full 3D depth information from a single H3D image, which makes it reliable and suitable for trend autonomous robotic applications.

关键词： Holoscopic 3D image 3D image 3D Depth Stereoscopic 3D viewpoint image depth estimation holoscopic 3D camera

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STROMULE BRANCH TIP DETECTION BASED ON ACCURATE CELL image SEGMENTATION 24

STROMULE BRANCH TIP DETECTION BASED ON ACCURATE CELL IMAGE S...

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24th IEEE International conference on image processing (ICIP)

作者： Lu, Guoyu Ren, Li Caplan, Jeffrey Kambhamettu, Chandra Rochester Inst Technol Rochester NY 14623 USA Univ Delaware Newark DE 19716 USA

ISBN: (纸本)9781509021758

Based on the dynamic structure, we design a system that can perform accurate stromule image segmentation, branch tip detection and tracking automatically. We substitute the user constraints in active contour segmentation by spatial fuzzy c-means clustering for providing more precise segmentation result. Based on the segmented contour after smoothing, we create a surface normal based feature that can accurately detect the branch tips. We further combine normal information together with tip position coordinate to apply ICP to track the branch tips moving path.

关键词： image segmentation Microsoft Windows Shape Feature extraction Microscopy Active contours Iterative closest point algorithm

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Calculation of Vegetation Index for Short Wave Infrared Hyperspectral images 25

Calculation of Vegetation Index for Short Wave Infrared Hype...

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25th signal processing and Communications Applications conference (SIU)

作者： Ozbay, Busra Cimtay, Yucel Kandaz, Fatih HAVELSAN Bilgi & Guvenlik Teknol Ankara Turkey Univ Delaware Fiz Bolumu Newark DE USA

ISBN: (纸本)9781509064946

In hyperspectral images, for detection of vegetation, vegetation index algorithms has been developed by using reflectance / radiance data in the VNIR (Visible Near Infrared) hand. In this aspect, green regions in the image can be detected. In this study, a new vegetation index algorithm is developed for SWIR (Short Wave Infrared) hyperspectral images for the purpose of vegetation detection. The effectiveness and accuracy of the proposed method is tested on hyperspectral data which was taken from different places on different dates of the year. Test results show that vegetation regions in hyperspectral images can be detected successfully.

关键词： vegetation index calculation short wave infrared hyperspectral image

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The Effect of Contrast Enhancement Techniques on Mutual Information Based image Registration 25

The Effect of Contrast Enhancement Techniques on Mutual Info...

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25th signal processing and Communications Applications conference (SIU)

作者： Atli, Ibrahim Saracoglu, Ahmet Gedik, O. Serdar Ankara Yildirim Beyazit Univ Bilgisayar Muhendisligi Ankara Turkey Kuartis Teknol & Danismanlik ODTU Teknokent Ikizler Binasi Ankara Turkey

ISBN: (纸本)9781509064946

Mutual Information (MI) is one of the main methods for efficient registration of multiband images in the literature. Since images on different bands are often expressed in different numbers of bits, contrast enhancement is inevitable before MI-based image registration. Although the contrast enhancement method used has a significant effect on the registration performance due to MI metric, this problem is not sufficiently addressed in the literature. In this paper, the effect of the outstanding contrast enhancement methods is examined on image registration performance. For this purpose, 16-bit thermal and 8-bit visible band satellite images were used and Monte Carlo tests were performed. First, random rotation and translation is applied to the image which is converted from 16-bit to 8-bit by contrast enhancement methods, then the transformation is tried to be estimated with MI and Multi-Level Single-Linkage (MLSL) optimization algorithm. Consequently, it is found that contrast enhancement methods have an effect on MI based image registration. Contrast limited adaptive histogram equalization (CLARE) and AHE methods have the highest registration performance according to the tests performed.

关键词： Mutual information contrast enhancement image registration optimization

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imageHawk Search Engine: Content Based image Retrieval System 25

ImageHawk Search Engine: Content Based Image Retrieval Syste...

引用

25th signal processing and Communications Applications conference (SIU)

作者： Cevikalp, Hakan Isik, Sahin Eskisehir Osmangazi Univ Makine Ile Ogrenme & Bilgisayarli Goru Lab Elekt Elekt Eskisehir Turkey Eskisehir Osmangazi Univ Makine Ile Ogrenme & Bilgisayarli Goru Lab Bilgisayar Muhendisligi Bolumu Eskisehir Turkey

ISBN: (纸本)9781509064946

This paper describes large-scale content based image retrieval system, image Hawk search engine. imageHawk search engine uses 23.4 million images in its gallery. Users have two different methods to make their search: Product Quantization (PQ) and Transductive Support Vector Machine based Hashing using Binary Hierarchical Trees (TSVMH-BHT). images are first represented with 20480-dimensional Fisher vectors and then binary codes are extracted from Fisher vectors by using these two methods. 256-bit binary codes are used for PQ and 512-bit binary codes are used for TSVMH-BHT. When a query image is given to the search engine, the system returns the most similar 100 images in 30-40 seconds based on the size of the query image. In addition we also describe our new image retrieval dataset created by using imageCLEF 2013 and report the accuracies of some popular image retrieval methods on this dataset.

关键词： image retrieeval image search engine Fisher vector hashing

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Detection of various image operations based on CNN 9

Detection of various image operations based on CNN

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9th Annual Summit and conference of the Asia-Pacific-signal-and-Information-processing-Association (APSIPA ASC)

作者： Tang, Hongshen Ni, Rongrong Zhao, Yao Li, Xiaolong Beijing Jiaotong Univ Inst Informat Sci Beijing Peoples R China Beijing Key Lab Adv Informat Sci & Network Techno Beijing Peoples R China

ISBN: (纸本)9781538615423

Over the past years, a number of effective digital image forensic techniques have been proposed. However, most of them design features focused on specific image operation and do binary classification, which are not very reasonable in practice and don't work for detecting other operations. To detect various image operations, in this paper, we propose a carefully crafted CNN model to learn features from the magnified images and do multi-classification automatically. Firstly, the images will be magnified by nearest neighbor interpolation in the preprocessing layer. The property of image operations can be well preserved by the nearest up-sampling. Then, hierarchical representations of different operations are learned via two multi scale convolutional layers. After that, the well-known mlpconv layers are used to enhance the whole architecture's nonlinear modeling ability and finally derive the feature map. Further more, shortcut connections between mlpconv layers allow for increasing the depth of the network while reducing information loss. We present comprehensive experiments on 6 typical image operations. The results show that the proposed method have a good performance both in binary and multi-class detection.

关键词： Feature extraction Convolution Histograms Forensics Kernel Filtering Interpolation

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HIGH-DIMENSIONAL OPTIMIZATION OF COLOR CODED APERTURES FOR COMPRESSIVE SPECTRAL CAMERAS 25

HIGH-DIMENSIONAL OPTIMIZATION OF COLOR CODED APERTURES FOR C...

引用

25th European signal processing conference (EUSIPCO)

作者： Rueda, Hoover Arguello, Henry Arce, Gonzalo R. Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA Univ Ind Santander Dept Comp Sci Santander Colombia

ISBN: (纸本)9780992862671

A spectral image can be regarded as a three-dimensional cube where each pixel is a vector of intensities representing a spectral signature. Compressive spectral imaging (CSI) is a sensing and reconstruction framework, based on the fundamentals of the compressive sensing theory, which focuses on capturing spectral images efficiently, exploiting their highly correlated information by coding its spectral characteristics commonly using a black-and-white, grayscale or recently a color coded aperture. The distribution of the entries of the coded apertures determines the quality of the estimated spectral images. State of the art methods have used random coded apertures, and some optimization procedures have focused on the optimal design of horizontal sections of the coded apertures;however, they do not fully exploit the spatio-spectral correlations within the spectral images. To that end, in this paper, it is proposed a high-dimensional optimization procedure to design color coded apertures for CSI systems, which exploits not only the spectral correlations but also the spatial correlations within an spectral image. Simulations analyzing the conditioning of the sensing matrices, as well as the reconstruction quality of the attained spectral images show the improvement entailed by the proposed method.

关键词： Compressive spectral imaging coded aperture design color filter array numerical optimization

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design and simulation of a multiband orthomodetransducer in k/Ka band for satellite communications 3

Design and simulation of a multiband orthomodetransducer in ...

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3rd International conference on Advanced Technologies for signal and image processing, ATSIP 2017

作者： Kamili, Abdellah El Tribak, Abdelwahed Terhzaz, Jaouad Mediavilla, Angel Rabat Morocco Casablanca Morocco DICOM Laboratory University of Cantabria Santander Spain

ISBN: (纸本)9781538605516

This paper describes the design and simulation of a waveguide multiband Orthomode Transducer (OMT) from 15 to 32 Ghz. The OMT is based on a symmetric backward coupling structure and has a square common waveguide input port and two single mode rectangular waveguide outputs. The coupling structure is located in the common rectangular waveguide and stepped to get the desired operating bands. The device was designed and optimized using Mician μwave wizard and CST Microwave Studio. From 15 to 33 GHz the simulated input return loss was about 30 dB, the isolation between the output ports was better than 40 dB. The circuit is designed regarding standard waveguide technology to meet feed chain requirement for antenna in satellite communications in wideband frequencies. © 2017 IEEE.

关键词： Rectangular waveguides

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