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Digital Image Computing: Techniques and Applications (DICTA), 2010 International Conference on

Date 1-3 Dec. 2010

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Displaying Results 1 - 25 of 118
  • [Front cover]

    Publication Year: 2010, Page(s): C1
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  • [Title page i]

    Publication Year: 2010, Page(s): i
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  • [Title page iii]

    Publication Year: 2010, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2010, Page(s): iv
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  • Table of contents

    Publication Year: 2010, Page(s):v - xiii
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  • Preface

    Publication Year: 2010, Page(s): xiv
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  • Organizing Committee

    Publication Year: 2010, Page(s): xv
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  • Technical Committee and Area Chairs

    Publication Year: 2010, Page(s): xvi
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  • list-reviewer

    Publication Year: 2010, Page(s): xvii
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  • Keynotes

    Publication Year: 2010, Page(s):xviii - xxii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (93 KB)

    Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • Focusing the Normalised Information Distance on the Relevant Information Content for Image Similarity

    Publication Year: 2010, Page(s):1 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1343 KB) | HTML iconHTML

    This paper investigates the normalised information distance (NID) proposed by Bennet et al as an approach to measure the visual similarity (or dissimilarity) of images. Earlier studies (e.g.) suggest that compression-based approximations to the NID can yield dissimilarity measures that correlate well with visual comparisons. However, results also indicate that conventional feature-based dissimilar... View full abstract»

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  • Image Retrieval with a Visual Thesaurus

    Publication Year: 2010, Page(s):8 - 14
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6789 KB) | HTML iconHTML

    Current state-of-art of image retrieval methods represent images as an unordered collection of local patches, each of which is classified as a "visual word" from a fixed vocabulary. This paper presents a simple but innovative way to uncover the spatial relationship between visual words so that we can discover words that represent the same latent topic and thereby improve the retrieval results. The... View full abstract»

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  • False Positive Reduction in Colonic Polyp Detection Using Glocal Information

    Publication Year: 2010, Page(s):15 - 21
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (849 KB) | HTML iconHTML

    This paper proposes an explicit parametric model for colonic polyps. The model captures the overall shape of the polyp and is then used to derive the probability distribution of features relevant for polyp detection. The probability distribution represents the glocal properties of the polyp candidates, where the glocal properties capture both global and local information of an object. The probabil... View full abstract»

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  • Surface Analysis from Video Volumes for Fetal Alcohol Syndrome Classification

    Publication Year: 2010, Page(s):22 - 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (495 KB) | HTML iconHTML

    3D shape reconstruction is often a necessary step to obtain geometric information from multiple 2D images for shape analysis. In this paper, a new shape analysis technique is proposed using surface features derived directly from the video volume of 2D images. It avoids the explicit 3D reconstruction process, which is often not very robust and accurate for surface feature analysis. Video volumes ar... View full abstract»

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  • Mammographic Mass Detection with Statistical Region Merging

    Publication Year: 2010, Page(s):27 - 32
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (394 KB) | HTML iconHTML

    An automatic method for detection of mammographic masses is presented which utilizes statistical region merging for segmentation (SRM) and linear discriminant analysis (LDA) for classification. The performance of the scheme was evaluated on 36 images selected from the local database of mammograms and on 48 images taken from the Digital Database for Screening Mammography (DDSM). The Az value (area ... View full abstract»

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  • Decision Level Fusion Using t-Norms

    Publication Year: 2010, Page(s):33 - 38
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (613 KB) | HTML iconHTML

    A multimodal biometric system employing the hand based modalities (i.e. palmprint, hand veins, and hand geometry) is developed. The proposed approach for the decision level fusion combines the decisions from these modalities using t-norms due to Hamacher, Yager, Weber, Schweizer and Sklar. These norms deal with the uncertainty and imperfection pervading the different sources of knowledge (error ra... View full abstract»

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  • An Efficient Frequency-Domain Velocity-Filter Implementation for Dim Target Detection

    Publication Year: 2010, Page(s):39 - 44
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (446 KB) | HTML iconHTML

    An efficient Fourier-domain implementation of the velocity filter is presented. The Sliding Discrete Fourier Transform (SDFT) is exploited to yield a Track-Before-Detect (TBD) algorithm with a complexity that is independent of the filter integration time. As a consequence, dim targets near the noise floor of acquisition or surveillance sensors may be detected, and their states estimated, at a rela... View full abstract»

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  • Automatic Building Detection Using LIDAR Data and Multispectral Imagery

    Publication Year: 2010, Page(s):45 - 51
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1670 KB) | HTML iconHTML

    An automatic building detection technique using LIDAR data and multispectral imagery has been proposed. Two masks are obtained from the LIDAR data: a 'primary building mask' and a 'secondary building mask'. The primary building mask indicates the void areas where the laser does not reach below a certain height threshold. The secondary building mask indicates the filled areas, from where the laser ... View full abstract»

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  • Accurate Background Modeling for Moving Object Detection in a Dynamic Scene

    Publication Year: 2010, Page(s):52 - 57
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (901 KB) | HTML iconHTML

    Fast and accurate foreground detection in video sequences is the first step in many computer vision applications. In this paper, we propose a new method for background modeling that operates in color and gray spaces and that manages the entropy information to obtain the pixel state card. Our method is recursive and does not require a training period to handle various problems when classify pixels ... View full abstract»

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  • Adaptive Non-rigid Object Tracking by Fusing Visual and Motional Descriptors

    Publication Year: 2010, Page(s):58 - 62
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (462 KB) | HTML iconHTML

    This paper presents a framework to track non-rigid objects adaptively by fusion of visual and motional feature descriptors. The proposed technique can automatically detect an object from different points of view as soon as the object starts moving. Moreover an object model is created and gradually updated using both new and previous features. As a result, the proposed technique is able to track a ... View full abstract»

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  • Automated Detection of the Occurrence and Changes of Hot-Spots in Intro-subject FDG-PET Images from Combined PET-CT Scanners

    Publication Year: 2010, Page(s):63 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1597 KB) | HTML iconHTML

    Dual-modality PET-CT imaging has been prevalently used as an essential diagnostic tool for monitoring treatment response in malignant disease patients. However, evaluation of treatment outcomes in serial scans by visual inspecting multiple PET-CT volumes is time consuming and laborious. In this paper, we propose an automated algorithm to detect the occurrence and changes of hot-spots in intro-subj... View full abstract»

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  • Segmentation of Carotid Arteries in CTA Images

    Publication Year: 2010, Page(s):69 - 74
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    Stenos is of the internal carotid artery (ICA) is implicated in approximately one quarter of stroke cases. The degree of stenos is is currently used to decide whether to undertake a surgical procedure to reduce the risk of further stroke. However it is known that the degree of stenos is is not a good predictor of stroke risk. It is hoped that prediction might be improved by incorporation of other ... View full abstract»

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  • Classification of Melanoma Lesions Using Wavelet-Based Texture Analysis

    Publication Year: 2010, Page(s):75 - 81
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (273 KB) | HTML iconHTML

    This paper presents a wavelet-based texture analysis method for classification of melanoma. The method applies tree-structured wavelet transform on different color channels of red, green, blue and luminance of dermoscopy images, and employs various statistical measures and ratios on wavelet coefficients. Feature extraction and a two-stage feature selection method, based on entropy and correlation,... View full abstract»

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  • Segmentation of Dense 2D Bacilli Populations

    Publication Year: 2010, Page(s):82 - 86
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB) | HTML iconHTML

    Bacteria outnumber all other known organisms by far so there is considerable interest in characterizing them in detail and in measuring their diversity, evolution, and dynamics. Here, we present a system capable of identifying rod-like bacteria (bacilli) correctly in high resolution phase contrast images. We use a probabilistic model together with several purpose-designed image features in order t... View full abstract»

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  • Direction-Oriented Line Interpolation Using Geometric Duality

    Publication Year: 2010, Page(s):87 - 91
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB) | HTML iconHTML

    In this paper, a direction-oriented covariance based deinterlacing method is presented. First, the local direction of edge is determined by modified edge-based line average (MELA) method. Then, based on the geometric duality, the optimal interpolation coefficients for the neighbor pixels of corresponding direction are estimated using the Wiener filtering. Experimental results prove that the propos... View full abstract»

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