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This mapping depends on the choice of the parameter which is made using an image quality measure.
Low quality images were eliminated from analysis using an image quality algorithm to identify images lacking a stain or out of focus images.
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With this fundamental property, MSE is being used as an image quality metric [13].
The above findings can demonstrate that FIQ T can be used as an image quality index.
This can be achieved using an image processing method called "quality criterion".
Secondly, we investigate if EVA is sufficiently general that its EV score for an image can be used to infer an image quality value for specimens from several relatively challenging ridge-based biometric databases and, if so, how this image quality affects a closed set identification.
All the work in Section 3.2 using EVA to infer an image quality value for other databases is new, as are the corresponding identification experiments.
Using EV score as an image quality value, we show that in all databases, thresholding on EV improves performance in closed set identification.
Our findings, based on phantom experiments and animal studies, showed that the proposed system can be used for preclinical imaging with an image quality comparable to dedicated pinhole-based preclinical imaging scanners.
This paper presents an image quality assessment algorithm using representation of image structures in scale space.
Our primary study aim was to evaluate the image quality of LE images using FFDM acquired at the Dutch Breast Cancer Screening Program (DBCSP) as a reference standard and using the image quality criteria defined by the European Reference Organization for Quality Assured Breast Screening and Diagnostic Services EUREFF) [ 6].
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