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    DICTA
    2009
    256views Applied Computing» more  DICTA 2009»
    Video Surveillance: Legally Blind?
    13 years 11 months ago
    Video Surveillance: Legally Blind?
    Download  www.csse.uwa.edu.au
    This paper shows that most surveillance cameras fall well short of providing sufficient image quality, in both spatial resolution and colour reproduction, for the reliable identifi...
    Peter Kovesi
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    DICTA
    2003
    107views Applied Computing» more  DICTA 2003»
    FNS, CFNS and HEIV: Extending Three Vision Parameter Estimation Methods
    13 years 11 months ago
    FNS, CFNS and HEIV: Extending Three Vision Parameter Estimation Methods
    Download  cs.adelaide.edu.au
    Estimation of parameters from image tokens is a central problem in computer vision. FNS, CFNS and HEIV are three recently developed methods for solving special but important cases ...
    Wojciech Chojnacki, Michael J. Brooks, Anton van d...
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    DICTA
    2008
    184views Applied Computing» more  DICTA 2008»
    Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
    13 years 11 months ago
    Automatic Categorization of Image Regions Using Dominant Color Based Vector Quantization
    Download  personal.gscit.monash.edu.au
    —This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...
    Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
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    DICTA
    2007
    186views Applied Computing» more  DICTA 2007»
    K-means Clustering for Classifying Unlabelled MRI Data
    13 years 11 months ago
    K-means Clustering for Classifying Unlabelled MRI Data
    Download  www.fjt.info.gifu-u.ac.jp
    Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
    Gobert N. Lee, Hiroshi Fujita
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    DICTA
    2007
    286views Applied Computing» more  DICTA 2007»
    An in Depth Comparison of Four Texture Segmentation Methods
    13 years 11 months ago
    An in Depth Comparison of Four Texture Segmentation Methods
    Download  eprints.qut.edu.au
    Texture segmentation is the process of partitioning an image into regions with different textures containing similar group of pixels. This paper presents a comparative study of fo...
    Vamsi Krishna Madasu, Prasad K. D. V. Yarlagadda
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