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    » Statistical evaluation of image quality measures
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    HVEI
    2010
    236views Emerging Technology» more  HVEI 2010»
    No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
    13 years 5 months ago
    No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
    Download  repository.tudelft.nl
    This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
    Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...
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    CSIE
    2009
    IEEE
    214views Theoretical Computer Science» more  CSIE 2009»
    Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
    14 years 2 months ago
    Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
    Download  www.sics.se
    The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
    Mesfin Sileshi, Björn Gambäck
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    MICCAI
    2005
    Springer
    142views Medical Imaging» more  MICCAI 2005»
    Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy
    14 years 8 months ago
    Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy
    Download  olivier.commowick.org
    Deforming a digital atlas towards a patient image allows the simultaneous segmentation of several structures. Such an intersubject registration is difficult as the deformations to ...
    Grégoire Malandain, Nicholas Ayache, Olivie...
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    ICIP
    2010
    IEEE
    212views Image Processing» more  ICIP 2010»
    Evaluation of on-line quality estimators for object tracking
    13 years 5 months ago
    Evaluation of on-line quality estimators for object tracking
    Download  dymas.ii.uam.es
    Failure of tracking algorithms is inevitable in real and online tracking systems. The online estimation of the track quality is therefore desirable for detecting tracking failures...
    Juan C. SanMiguel, Andrea Cavallaro, José M...
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    TIFS
    2008
    113views more  TIFS 2008»
    A Selective Feature Information Approach for Iris Image-Quality Measure
    13 years 7 months ago
    A Selective Feature Information Approach for Iris Image-Quality Measure
    Download  www.engr.iupui.edu
    Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
    Craig Belcher, Yingzi Du
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