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The proposed NR metric based on image classification showed consistently good performance for different impairment types.
In this article, we proposed a new NR image quality metric based on image classification.
Next, we computed the NR image quality metric based on image classification.
In the second article entitled "No-reference image quality metric based on image classification", by H. Choi and C. Lee, the authors present a new no-reference objective image quality metrics (blocking and blur metrics) based on image classification.
In this article, we present a new no-reference (NR) objective image quality metric based on image classification.
For the Gaussian-blurred database, the proposed NR metric based on image classification performed better than the other NR blur metrics.
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Normalization to standard MNI space was done using the unified segmentation approach based on image registration and tissue classification (Ashburner and Friston 2005).
An overlapping phenomenon could be found in the classification based on image perceptions and similarity data.
Face authentication is a biometric classification method that verifies the identity of a user based on image of their face.
An automated wood species recognition system is designed based on image analysis of the wood texture which consists of image acquisition, feature extraction, and classification.
Wang et al. (2008) and Liu et al. (2009) numerically modelled the Tangjiashan landslide, and Liou et al. (2010) as well as Xu et al. (2010) detected the changes of its barrier lake based on satellite image classification.
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based on image complexity
based on college classification
based on image differencing
based on image correlation
based on wound classification
based on image ray
based on image contrast
based on technology classification
based on image gradient
based on image processing
based on project classification
based on genre classification
based on image quality
based on image recognition
based on image type
based on image infringement
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