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检索条件"任意字段=IEEE Symposium on Computational Intelligence for Image Processing"

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On Some Performances of the Exponentiated Convex Variable Step-Size (ECVSS) Algorithm

On Some Performances of the Exponentiated Convex Variable St...

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8th International symposium on image and Signal processing and Analysis (ISPA)

作者： Rusu, Corneliu Cowan, Colin F. N. Tech Univ Cluj Napoca FETTI Signal Proc Grp Str Baritiu 26-28 RO-400027 Cluj Napoca Romania Queens Univ Belfast Dept Elect & Elect Engn Belfast Antrim North Ireland

ISBN: (纸本)9789531841948;9789531841870

Recently, there were proposed few stochastic gradient algorithms which are based on cost functions that have exponential dependence on the chosen error. However, in certain framework the convergence of the cost function based on exponential of the squared error is not always satisfactorily. Thus this cost function has been modified and the Exponentiated Convex Variable Step-Size (ECVSS) algorithm has been obtained. It has been shown that with an optimal selection of one tuning parameter the ECVSS algorithm provides attractive results. In this brief we present some performances of the ECVSS stochastic gradient algorithm (time constants, misadjustment, computational complexity) in data echo cancellation framework when the tuning parameter has different values.

关键词： computational complexity convergence convex programming gradient methods least mean squares methods signal processing stochastic processes

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UNIVERSAL AND LOW-COMPLEXITY QUANTIZER DESIGN FOR COMPRESSIVE SENSING image CODING

UNIVERSAL AND LOW-COMPLEXITY QUANTIZER DESIGN FOR COMPRESSIV...

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ieee International Conference on Visual Communications and image processing (VCIP)

作者： Li, Xiangwei Lan, Xuguang Yang, Meng Xue, Jianru Zheng, Nanning Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China

ISBN: (纸本)9781479902880

Compressive sensing imaging (CSI) is a new framework for image coding, which enables acquiring and compressing a scene simultaneously. The CS encoder shifts the bulk of the system complexity to the decoder efficiently. Ideally, implementation of CSI provides lossless compression in image coding. In this paper, we consider the lossy compression of the CS measurements in CSI system. We design a universal quantizer for the CS measurements of any input image. The proposed method firstly establishes a universal probability model for the CS measurements in advance, without knowing any information of the input image. Then a fast quantizer is designed based on this established model. Simulation result demonstrates that the proposed method has nearly optimal rate-distortion (R similar to D) performance, meanwhile, maintains a very low computational complexity at the CS encoder.

关键词： Compressive sensing imaging quantization Gaussian distribution image coding

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Evaluation of degraded images using adaptive Jensen-Shannon divergence

Evaluation of degraded images using adaptive Jensen-Shannon ...

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8th International symposium on image and Signal processing and Analysis (ISPA)

作者： Bruni, Vittoria Vitulano, Domenico Univ Roma La Sapienza Dept Basic & Appl Sci Engn Via A Scarpa 16 I-00161 Rome Italy CNR Inst Applicat Calculus M Picone I-00185 Rome Italy

ISBN: (纸本)9789531841948;9789531841870

This paper investigates the properties of the Jensen-Shannon divergence for visual quality assessment. It will be shown that Jensen-Shannon divergence is a potential adaptive tool thanks to a good correlation with human perception, a reduced computational effort and a limited amount of information on the original image. In addition, it gives a score to visual quality in terms of bits and it has theoretical relationships with some well known and highly performing image quality assessment measures. Preliminary experimental results show the potential of the proposed measure in predicting the amount of degradation in the analysed image. This is a valid feature to successfully use in the preservation and restoration of archived material.

关键词： image restoration

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image Segmentation Using Hardware Forest Classifiers

Image Segmentation Using Hardware Forest Classifiers

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21st Annual International ieee symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Pittman, Neil Forin, Alessandro Criminisi, Antonio Shotton, Jamie Mahram, Atabak Microsoft Res Redmond WA 98052 USA Microsoft Res Cambridge England Boston Univ Boston MA 02215 USA

ISBN: (纸本)9780769549699;9781467360050

image segmentation is the process of partitioning an image into segments or subsets of pixels for purposes of further analysis, such as separating the interesting objects in the foreground from the un-interesting objects in the background. In many image processing applications, the process requires a sequence of computational steps on a per pixel basis, thereby binding the performance to the size and resolution of the image. As applications require greater resolution and larger images the computational resources of this step can quickly exceed those of available CPUs, especially in the power and thermal constrained areas of consumer electronics and mobile. In this work, we use a hardware tree-based classifier to solve the image segmentation problem. The application is background removal (BGR) from depth-maps obtained from the Microsoft Kinect sensor. After the image is segmented, subsequent steps then classify the objects in the scene. The approach is flexible: to address different application domains we only need to change the trees used by the classifiers. We describe two distinct approaches and evaluate their performance using the commercial-grade testing environment used for the Microsoft Xbox gaming console.

关键词： NUI FPGA Smart Cameras Computer Vision Kinect

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Counterfeit currency detection technique using image processing, polarization principle and holographic technique

Counterfeit currency detection technique using image process...

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2013 5th International Conference on computational intelligence, Modelling and Simulation, CIMSim 2013

作者： Santhanam, Kamesh Sekaran, Sairam Vaikundam, Sriram Kumarasamy, Anbu Mani Department of Electronics and Instrumentation Engineering Sri Sairam Engineering College Chennai India

ISBN: (纸本)9780769551555

The growing menace of fake or counterfeit currency is one of the biggest threat to any nations economy across the globe and to ameliorate this threat is a far cry, so through this paper titled DIGITIZED CURRENCY we provide an innovative method to identify the counterfeit currency, (i.e) it encompasses polarization concept, image processing technique, and Holographic Detection methods to detect counterfeit currency based on the physical properties of the currency rather than the existing methodology that relay on its chemical property. This is achieved by providing mathematical model, experimental verification and Lab view based simulation and also through automation to enhance reliability and accuracy in a cheaper, efficient and dynamic way in detecting the counterfeit currency. © 2013 ieee.

关键词： Polarization

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Global DCT Domain Power Law Transformations in image Enhancement Technique

Global DCT Domain Power Law Transformations in Image Enhance...

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International symposium on computational and Business intelligence (ISCBI)

作者： Singh, T. Romen Roy, Sudipta Singh, Kh. Manglem Assam Univ Dept IT Silchar India NIT Manipur Dept Comp Sci Imphal Manipur India

ISBN: (纸本)9780769550664

Power Law Transformation (PLT) is a standard transformation function used in image enhancement techniques. PLT associates two constant parameters which can change an input value in different ways. The two PLT parameters can take different roles on different domains like spatial and transform domain. Discrete Cosine Transformation(DCT) is the popular transform domain used in image processing. Alpha Rooting (AR) and DCT block domain techniques are popular image contrast enhancement techniques which apply PLT on DCT domain. They are limited to edge contrast enhancement only. This paper describes an image enhancement technique which applies PLT on a global DCT domain like AR. PLT is applied only on AC coefficients while AR applies to all the DCT coefficients. This new technique can enhance global contrast, edge contrast and brightness of an image through a single function with three parameters. The results of this technique are compared with other techniques, applied on transformed domain for quality and quantity measure. This technique outperforms than the other techniques reported so far.

关键词： Enhancement Power-law transformation DCT Compress domain Contrast Sharpness Smoothness

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Status Analysis System of Scoliosis

Status Analysis System of Scoliosis

引用

11th ieee International symposium on Applied Machine intelligence and Informatics (SAMI)

作者： Vamossy, Zoltan Kocsis, Miklos Obuda Univ John von Neumann Fac Budapest Hungary

ISBN: (纸本)9781467359290;9781467359283

This project wishes to provide assistance for the most widespread civilization problem, the diagnosis of spine diseases and the measurement of their successful treatment. According to the physiotherapists participating in the implementation of the project this new system proves very helpful for them. Although there are some methods for measuring scoliosis conditions and changes in conditions, these are manual, lengthy, complicated and rather expensive methods. Their main drawback is that - apart from being time-consuming and expert-dependent - because of the inherent subjective elements, it is difficult to compare them, especially if different experts with different experience make the measurements. The procedure developed in this project (we make a photo of the patient with a stereo camera system which later can be analyzed in-depth) with the fixed tolerance limits, balanced recording circumstances makes an exact, comparable, extensional model of the patient's spine curves, and is able to calculate and record their differences. All elements of this prototype device system including the recording circumstances, cameras, recording, testers, markers have been tested in practice, and these experiences are well-grounded in theoretical assumptions. This software development ranges from camera calibration and image rectification to modeling. All the recordings, measured and calculated results can be saved.

关键词： bone calibration cameras diseases medical image processing patient treatment software engineering stereo image processing

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image Deblocking by Transcoding DCT Blocks to Wavelet Subbands

Image Deblocking by Transcoding DCT Blocks to Wavelet Subban...

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8th International symposium on image and Signal processing and Analysis (ISPA)

作者： Kapinaiah, Viswanath Mukhopadhyay, Jayanta Biswas, Prabir Kumar SIT Dept Telecommun Engg Tumkur India IIT Kharagpur Dept CS&E Kharagpur W Bengal India IIT Kharagpur Dept E&ECE Kharagpur W Bengal India

ISBN: (纸本)9789531841948;9789531841870

In this paper, we show how the DCT blocks can be transcoded to wavelet subbands for image deblocking in the wavelet domain. The approach is based on the transcoding of DCT blocks to wavelet coefficient subbands directly in the transform domain. The transcoding uses filtering (wavelet analysis) along with re-sampling (down) operation in the block DCT space. To perform transcoding, linear filtering is used in the block DCT domain. In this technique, filtering is performed on the three adjacent blocks. The complexity is reduced by performing sampling rate change and filtering operations in a single combined step. The proposed approach achieves the quality as same as the spatial domain technique at a reduced computational cost.

关键词： Transform Domain processing Deblocking Transcoding Block DCT DWT Post-processing

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LEARN TO RECOGNIZE PATHOLOGICAL MYOPIA IN FUNDUS imageS USING BAG-OF-FEATURE AND SPARSE LEARNING APPROACH

LEARN TO RECOGNIZE PATHOLOGICAL MYOPIA IN FUNDUS IMAGES USIN...

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ieee 10th International symposium on Biomedical Imaging - From Nano to Macro (ISBI)

作者： Xu, Yanwu Liu, Jiang Zhang, Zhuo Tan, Ngan Meng Wong, Damon Wing Kee Saw, Seang Mei Wong, Tien Yin Agcy Sci Technol & Res Inst Infocomm Res Singapore 138632 Singapore Singapore Eye Res Inst Singapore 168751 Singapore Natl Univ Singapore Dept Ophthalmol Singapore 119074 Singapore

ISBN: (纸本)9781467364553

Pathological myopia is a leading cause of visual impairment, and can lead to blindness in children if left undetected. We present a bag-of-feature and sparse learning based framework to automatically recognize pathological myopia in retinal fundus images and discover the most related visual features corresponding to the retinal changes in pathological myopia. In the learning phase, the codebook for the bag-of-feature model and the classification model are first learnt,and the to prelated visual features are discovered via spars elearning concurrently. In the testing phase, for a given retinal fundus image, local features are first extracted and then quantized with the learned codebook to obtain the global feature. Finally, the classification model is used to determine the presence of pathological myopia. Our results on a population based study dataset of 2258 images achieve a 0.964 +/- 0.007 AUC value and 90.6 +/- 1.0% balanced accuracy at a 85.0% specificity. The results are promising for further development and validation of this framework.

关键词： compressed sensing eye feature extraction image classification image coding learning (artificial intelligence) medical image processing sensitivity analysis vision defects

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A Superpixel Based Post-processing Approach for Segmenting Dermoscopy images

A Superpixel Based Post-Processing Approach for Segmenting D...

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6th International Conference on Advanced computational intelligence (ICACI)

作者： Wen, Quan Ming, Di Chen, Juan Liu, Wenhao Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu 610054 Sichuan Peoples R China Hangzhou Normal Univ Dept Comp Sci & Technol Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781467363433

Malignant melanoma is among the most rapidly increasing cancers in the world. image border detection is often the first step to characterize skin lesion for the follow-up computer-aided diagnosis. As the existing segmentation techniques tend to find the sharpest pigment change in the dermoscopy images, the detected lesion borders are mostly contained inside the borders delineated manually by the dermatologists. Therefore, post-processing steps are needed to smooth and expand the segmented borders. In this paper, we propose a novel post-processing approach to enhance the accuracy of segmentation results, by merging superpixels which intersect with skin lesion area based on skin color consistency. The experimental results on the real dermoscopy image set show that the proposed method can improve the overall performance in terms of both accuracy and robustness.

关键词： dermoscopy image melanoma superpixel post-processing skin color consistency

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