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Date 14-16 Sept. 2011

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Displaying Results 1 - 25 of 102
  • [Front cover]

    Publication Year: 2011, Page(s): c1
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  • [Copyright notice]

    Publication Year: 2011, Page(s): 1
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  • [List staff]

    Publication Year: 2011, Page(s):1 - 3
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  • International review Committee

    Publication Year: 2011, Page(s): 1
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  • Croatian Society Electronics in Marine - ELMAR

    Publication Year: 2011, Page(s): 1
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  • Welcome speech of the President of Croatian Society Electronics in Marine — ELMAR, Zadar

    Publication Year: 2011, Page(s):1 - 2
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  • Contents

    Publication Year: 2011, Page(s):1 - 8
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  • Colour for image retrieval and image browsing

    Publication Year: 2011, Page(s):1 - 3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (209 KB) | HTML iconHTML

    Content-based image retrieval, which is based on the principle of extracting image features and visual similarity based on these features, has been an active research area for the last two decades. While several kinds of features can be used for retrieval, colour features are the most widely and most successfully employed, and are hence at the heart of various image retrieval engines. However, it ... View full abstract»

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  • Signal reconstruction via compressive sensing

    Publication Year: 2011, Page(s):5 - 9
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (295 KB) | HTML iconHTML

    Compressive sensing is a new approach of sampling theory, which assumes that signal can be exactly recovered from incomplete information. It relies on properties such as incoherence, signal sparsity and compressibility, and does not follow traditional acquisition process based on transform coding. Sensing procedure is very simple, nonadaptive method that employs linear projections of signal onto t... View full abstract»

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  • Validation of rigid registration of mammographic images

    Publication Year: 2011, Page(s):11 - 16
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (461 KB) | HTML iconHTML

    Mammographic image registration is an important step in the analysis of differences between the left and right breast in order to detect bilateral asymmetry, which is an early sign of breast cancer. We have used rigid registration to align left and right mammographic images as a first step for comparing corresponding regions in the left and right breast. Registration performance was tested on a da... View full abstract»

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  • Application of modified anthropometric model in facial age estimation

    Publication Year: 2011, Page(s):17 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (137 KB) | HTML iconHTML

    Aging process affects the appearance of people in different ways. One of the changes caused by aging are changes in craniofacial morphology of individuals. Different models of facial aging exist and this paper will apply anthropometric model of facial aging on pictures of 20 people at different ages of their lives to show the similarities between craniofacial morphology of people at the same age. ... View full abstract»

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  • Noise suppression methods for low quality images with application to face recognition

    Publication Year: 2011, Page(s):21 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (211 KB) | HTML iconHTML

    Any automatic face recognition system (FRS) operating under uncontrolled environment with no user interaction may encounter difficulties in its performance when low quality image is received as input. This issue may require the necessity of employing some preprocessing steps to enhance the image quality. One example of low quality image is provided by noisy data. The impact of six approaches for n... View full abstract»

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  • Enhancement of one sample per person face recognition accuracy by training sets extension

    Publication Year: 2011, Page(s):25 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB) | HTML iconHTML

    This paper deals with one sample per person face recognition, also called one sample per person problem. We use three standard methods: neural networks - MLP (multi-layer perceptron) and RBF (radial basis function) network, and SVM (support vector machine) method. These methods are tested on FERET face database. We analyze impact of extending training sets by modified images (of original images) t... View full abstract»

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  • Efficient face expression generation for face recognition

    Publication Year: 2011, Page(s):29 - 32
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2048 KB) | HTML iconHTML

    In real-world applications, facial expression significantly affects the performance of a face recognition system. Variation of facial expressions or poses is still challenging problem even for best face recognition methods. Conventional face recognition methods like Eigenfaces do not directly consider influence different expressions. In this paper we extend idea of rule based generation of face ex... View full abstract»

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  • Model-based face image coding using face prototyping and H.264

    Publication Year: 2011, Page(s):33 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (576 KB) | HTML iconHTML

    Static and dynamic image coding is necessary for transfer via communication network. Digital image representation requires large numbers of bits. In this paper low bit-rate human face image coding using triangulation is presented. Human faces modeling algorithm uses an available database of average faces for face synthesis. An average face is created by image registration on 2D model of human face... View full abstract»

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  • Breast cancer classification by using support vector machines with reduced dimension

    Publication Year: 2011, Page(s):37 - 40
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (370 KB) | HTML iconHTML

    Correct and timely diagnosis of diseases is an essential matter in medical field. Limited human capability and limitations decrease the rate of correct diagnosis. Machine learning algorithms such as support vector machine (SVM) can help physicians to diagnose more correctly. In this study, Wisconsin diagnostic breast cancer (WDBC) data set is used to classify tumors as benign and malignant. Indepe... View full abstract»

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  • Digital breast tomosynthesis: A technological review

    Publication Year: 2011, Page(s):41 - 45
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB) | HTML iconHTML

    According to American Cancer Society's most recent studies, breast cancer is the most common cancer among women today and a serious threat worldwide. Mammography, whether screen-film or digital, remains the best method to detect early breast cancer. Mammography imaging relies on the projection of a three-dimensional object onto a two-dimensional image in which lesions can be easily obscured and un... View full abstract»

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  • Mask extraction from manually segmented MIAS mammograms

    Publication Year: 2011, Page(s):47 - 50
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (339 KB) | HTML iconHTML

    The first step in computer aided detection (CAD) in mammography relies on accurate image segmentation. Testing of CAD algorithms should include comparison with other proposed methods in order to show how a new method compares with ones presented before. Two most popular mammographic databases, which are publicly available, consist of scanned films. This presents a segmentation challenge in order t... View full abstract»

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  • Traffic sign detection and recognition using neural networks and histogram based selection of segmentation method

    Publication Year: 2011, Page(s):51 - 54
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (136 KB) | HTML iconHTML

    Speed limit traffic sign detection is realized in two basic parts. The first part is the detection of traffic sign edge which includes the segmentation by means of a large set of different thresholds in different colour spaces. For each input image a convenient threshold and colour component from one of colour spaces is selected by the observation of the histogram of the whole image. Specially tra... View full abstract»

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  • Smart sensing framework for automotive safety based on a dual-camera system and CANbus data

    Publication Year: 2011, Page(s):55 - 58
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (220 KB) | HTML iconHTML

    In this paper, a sensing framework suited to intelligent vehicles design for automotive safety is presented. The extraction of the intrinsic parameters of the vehicle collected through the Controller Area Network serial bus (CANbus) is discussed and the implementation of a user interface for data visualization is shown. Algorithms for road lanes detection, vehicles detection and tracking and facia... View full abstract»

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  • Textureless object recognition and arm planning for a mobile manipulator

    Publication Year: 2011, Page(s):59 - 62
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (374 KB) | HTML iconHTML

    Manipulator robots require of comprehensible perception systems that permit them to interact with the environment, localize target objects and perform complex manipulation tasks. To do that, a full-step manipulation process has to be performed involving recognition of supporting planes, object clustering, its recognition and finally smooth arm trajectory planning with obstacle avoidance. The goal ... View full abstract»

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  • Performance analysis of Dirac video codec in different motion vector accuracies and wavelet lifting decompositions

    Publication Year: 2011, Page(s):63 - 66
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (167 KB) | HTML iconHTML

    Dirac is presented by BBC to compress video streams efficiently and eliminate software payments for license fees. Dirac video codec structure allows new wavelet tools to be specified by a user in order to improve its performance. In this paper, Dirac performance is analyzed for different motion vector accuracies and with different wavelet tools. Meanwhile, a new decomposition filter scheme is prop... View full abstract»

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  • A novel method of adaptive GOP structure based on the positions of video cuts

    Publication Year: 2011, Page(s):67 - 70
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (539 KB) | HTML iconHTML

    In this paper we propose a novel method of improving the video coding efficiency. Our method combines the shot cut detection and adaptive GOP structure. We have analyzed different approaches for shot cut detection with aim to choose the most appropriate one. The next step is to situate I frames to the positions of detected cuts during the process of video encoding. Finally the efficiency of the pr... View full abstract»

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  • Logatom intelligibility of single-handed finger alphabet

    Publication Year: 2011, Page(s):71 - 74
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (302 KB) | HTML iconHTML

    This paper discusses the cued speech recognition methods in videoconference. Cued speech is a specific gesture language that is used for communication between deaf people. We define the criteria for consonant sign recognizability in single-handed finger alphabet (dactyl) analogically to acoustics. We use 12 sample videos coded by H.264 codec with various bit-rates in four different video formats. ... View full abstract»

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  • Choosing wavelet pairs in supression of illumination variations for port surveillance

    Publication Year: 2011, Page(s):75 - 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB) | HTML iconHTML

    In order to implement visual surveillance system, many problems have to be considered. Paper deals with one of them, illumination variations. Illumination variations, in the stream, produce additive noise which could cause false motion detection. To overcome the problem, wavelet motion detection algorithm based on energy minimization has been considered. It is important to notice, in order to get ... View full abstract»

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