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A New Approach for image thresholding under Uneven Lighting Conditions

A New Approach for Image Thresholding under Uneven Lighting ...

引用

International conference on computer and Information Science (ACIS)

作者： Yao-Hong Tsai Department of Computer Science Hsuan Chuang University Hsinchu Taiwan

image thresholding is a useful method in many image processing and computer vision applications. However, it is not always satisfactory in all applications because of non-uniform illuminations. Otsu's method has been widely used as the classical technique in real thresholding tasks. In this paper, we propose a novel method for adaptive local thresholding by applying Otsu's results. Based on simulated annealing, the proposed algorithm searches the optimal threshold for each partitioned subimage according to the quadtree data structure. It is also scale invariant for different object sizes. For reducing the computations, an improvement of Otsu 's method is also developed. Experimental results show the efficiency of the proposed method.

关键词： Histograms Application software Computational complexity image segmentation Brightness computer science image processing computer vision Lighting Computational modeling

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Best Watermarking Selection for Free-View Point Television

Best Watermarking Selection for Free-View Point Television

引用

International conference on Systems, Signals and image processing, IWSSIP

作者： Evlambios E. Apostolidis Alper Koz Georgios Triantafyllidis Informatics and Telematics Institute Thessaloniki Greece Middle East Technical University Ankara Turkey

the recent advances in image Based Rendering (IBR) has pioneered a new technology, free view point television, in which TV-viewers select freely the viewing position and angle by the application of IBR on the transmitted multi-view video. In this paper, exhaustive tests were carried out to conclude to the best possible watermarking for free-view television. the watermark should not only be resistant to common video processing and multi-view video processing operations, it should also be extracted from a generated video for an arbitrary view.

关键词： Watermarking TV Rendering (computer graphics) Cameras Testing Interpolation Geometry Layout Solid modeling Informatics

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Using Fractal Dimension as Texture Discriminator for Context Base image Retrieval

Using Fractal Dimension as Texture Discriminator for Context...

引用

International conference on Systems, Signals and image processing, IWSSIP

作者： Radu Dobrescu Stefan Mocanu Politehnica University of Bucharest Bucharest Romania

the objective of the present work is to evaluate the potential of the use of the image fractal dimension as textural feature in a content-based image retrieval system. In order to compare and classify the regions of an image, we have used two distances between two partitions of the image: (1) a classic distance computed with some features (contrast, energy, entropy, homogeneity, correlation) extracted form cooccurrence matrix and (2) a distance between the fractal dimensions of the two regions. the experiments proved that the degree of confidence is increased when adding the fractal dimension to the other textural features.

关键词： Fractals image retrieval Feature extraction Data mining image databases Information retrieval Content based retrieval computer vision Histograms Shape

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Human lips synchronisation in Autodesk Maya

Human lips synchronisation in Autodesk Maya

引用

International conference on Systems, Signals and image processing, IWSSIP

作者： Antonio Moura Ingrida Mazonaviciute Joao Nunes Justinas Grigaravicius Instituto Politécnico de Viana do Castelo Avenida Atlântico Escola Superior de Tecnologia e Gestão Viana do Castelo Portugal Vilnius Gediminas Technical University Vilnius Lithuania

Realistic facial synthesis is one of the most fundamental problems in computer graphics and one of the most difficult. Human lips synchronization of the faces is very important part of this. In this paper it solves the issue of how to make human lips synchronization in one of the most popular 3D modelling software - Autodesk Maya. It is described an automatic way to analyse voice, using Adobe after effects and how the result interacts to Maya, but this way is still in progress, so voice is analyzed and classified manually. Using programming language of Maya - MEL (Maya Embedded Language) the recognized phonemes are associated with mouth positions to provide visemes for computer animation of speech. Different mouth positions are created using blend shape deformers, that let you to deform a surface into the shapes of other surfaces. Lip animation is facilitated by activating facial muscles and the jaw on the given facial model created specially for animation. Highspeed natural-looking synchronized lips animation is achieved. It is planed to model the expressive visual features of expressive speech. Informal user testing suggests that the addition of detailed internal mouth structures, such as the tongue, would improve the phrase recognition.

关键词： Humans Lips Mouth Speech analysis Shape Facial animation computer graphics Face computer languages Natural languages

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A Scale-dependent Morphological Approach to Motion Segmentation

A Scale-dependent Morphological Approach to Motion Segmentat...

引用

International conference on Systems, Signals and image processing, IWSSIP

作者： L. B. Dorini N. C. Simoes N. J. Leite Instituto de Computação UNICAMP Universidade Estadual de Campinas Sao Paulo Brazil

Accurate motion segmentation is the foundation of several high-level applications, such as surveillance and traffic monitoring systems. Here, we use a simple toggle operator, defined on a scaled morphological framework, to process the image frames in such a way that moving objects can be easily detected. the operator is able to cope with cast shadows and illumination changes, it is robust to false positives and sufficiently fast enough to be used in real-time applications. Experimental results show that the proposed approach outperforms existing methods besides having low computational cost.

关键词： Motion segmentation computer vision Morphology Robustness Computational efficiency image analysis image motion analysis Lighting image sequence analysis Optical filters

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Scene Change Detection Using DCT Features in Transform Domain Video Indexing

Scene Change Detection Using DCT Features in Transform Domai...

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International conference on Systems, Signals and image processing, IWSSIP

作者： S. Primechaev A. Frolov B. Simak Department of Telecommunication Engineering Czech Technical University Praque Czech Republic

the large volumes of visual data in future multimedia databases are expected to be stored in the compressed form. the transform domain techniques are generally based on DFT (discrete Fourier transform), KLT (Karhunen-Loeve transform), DCT (discrete Cosine transform), and subbands/wavelets. We address the problem of moving object segmentation or scene change detection and also to evaluate approaches of change detection in compressed domain standards using DCT features. Our paper presents an approach to scene change detection using DCT coefficients. Furthermore, the DCT coefficients are used to detect only necessary regions of interest for subsequent image processing steps.

关键词： Layout Discrete cosine transforms computer vision Indexing Discrete Fourier transforms Karhunen-Loeve transforms image coding Discrete wavelet transforms Object detection Discrete transforms

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Face Feature Detection for 3D Model of Talking Head with Speech Synthesis

Face Feature Detection for 3D Model of Talking Head with Spe...

引用

International conference on Systems, Signals and image processing, IWSSIP

作者： R. Talafova G. Rozinaj PSE Siemens AG Bratislava Slovakia Slovak University of Technology Bratislava Slovakia

Several new original algorithms for face feature detection are presented within this paper. the detected objects are used to produce realistic 3D model of human face. Presented methods have been tested and the results are discussed in the paper. the facial feature detection is based on human skin chromaticity and morphological characteristics of the human head. Output of the skin detection is used to isolate further important points of the analyzed face. the results of the exact feature detection lead to a more realistic 3D model of talking head used for multimedia speech synthesis.

关键词： Face detection computer vision Speech synthesis Humans Filters Facial animation Head Eyes Skin Frequency

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Robust image registration based on local standard deviation and image intensity

Robust image registration based on local standard deviation ...

引用

International conference on Information, Communications and Signal processing

作者： Osama A. Omer Toshihisa Tanaka Department of Electrical and Electronic Engineering Tokyo University of Agriculture슠and슠Technology Koganei Tokyo Japan

ISBN: (纸本)9781424409822;1424409829

image registration is required whenever images taken at different times or from different sensors need to be compared or to be integrated. the transformation is computed by minimizing a suitable cost function, that formulates the dissimilarity between the transformed image and the template image. Typically, image intensity is used in cost functions to measure difference between images such as L 2 -norm. However, these cost functions may perform poorly at important locations due to variation of contrast and/or brightness between the two images. Other well-known approaches, feature based approaches, completely neglect the image intensity, consequently, the registration result may be very poor. In this paper, we propose to use muti-features in the cost function consisting of image intensity and local standard deviations. this cost function is robust against global as well as local brightness variations. It is tested by medical image as well as computer graphic images. Based on the simulation results, the proposed algorithm outperforms two state-of-the-art algorithms. Moreover, it is suitable for high resolution and low resolution images.

关键词： Robustness image registration Cost function Brightness image resolution image sensors Medical tests Biomedical imaging computer graphics Computational modeling

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thermal and Visual image Registration in Hough Parameter Space

Thermal and Visual Image Registration in Hough Parameter Spa...

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International conference on Systems, Signals and image processing, IWSSIP

作者： R. Istenic D. Heric S. Ribaric D. Zazula University of Maribor Maribor Slovenia University of Zagreb Croatia

this paper introduces a new approach in image registration, that is a multisensor registration in Hough parameter space. Visual and thermal images of building fronts were aimed to be aligned in order to inspect thermal properties of buildings. Some preprocessing of visible images was necessary to be comparable to their thermal counterparts, namely downsampling and color space conversion from RGB to grayscale intensity. For each image pair, edges were detected with Canny edge detector and, as a result, binary edge images were obtained. these images were further processed by Hough transform which extracted all linear image segments. We decided for linear segments, because they are the most frequent feature appearing in the images of buildings. In the Hough parameter space the rotation and translation of the linear segments can be recovered using the line correspondence analysis. the method was verified first on synthetic images with only translation, only rotation, and also both the rotation and translation together. Finally, a verification on real images was done. the method was able to correctly register both type of images, synthetic and the real ones. In general, our algorithm can cope with rotated and translated images if only a few linear segments are detectible.

关键词： image registration image edge detection image segmentation image sensors Object detection Layout Detectors computer vision Infrared imaging Sensor phenomena and characterization

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Low power DCT implementation using differential pixels for on-board satellite image processing

Low power DCT implementation using differential pixels for o...

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International conference on Information, Communications and Signal processing

作者： Ankita Singla A. P. Vinod Deepu Rajan Edmund M-K. Lai Department of Electrical Engineering Indian Institute of Technology Madras Chennai India School of Computer Engineering Nanyang Technological University Singapore Institute of Information Sciences and Technology Massey University Wellington New Zealand

ISBN: (纸本)9781424409822

Low power and high speed discrete cosine transform (DCT) implementation of the images captured by the satellites presents a hardware design problem. the cost of the DCT implementation is dominated by the complexity of the multiplication of input data (image) with the DCT matrix. this paper presents the techniques for minimizing the complexity of multiplication by employing differential pixel image (DPI). In our method we take 8times8 blocks of input image matrix and calculate the difference between the adjacent pixels and use those differential pixels in DCT transformation. While conventional low complexity DCT implementation methods focus on optimizing the DCT matrix, our method achieves complexity reduction by using the difference of intensities of adjacent pixels of the image. Design examples show that an average of 12% reduction in power consumption and delay is achieved over the conventional method. Synthesis results on 0.18 mum CMOS technology show that our method gives an average of 13.2% reduction in power consumption and 10.9% improvement in speed over the conventional method.

关键词： Discrete cosine transforms Pixel Satellites image processing Energy consumption CMOS technology Hardware Costs Optimization methods Delay

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