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To estimate image entropy, we use entropy estimation algorithm described in [14, 15].
Very often, little attention is paid to the filters used to estimate image gradients.
94 098701-1] is described and used to estimate image complexity measures as a means of generating interpretable summary information.
We propose a new method to estimate image bias field by an intuitive assumption that the overall trend of image surface is associated with bias field and the true bias field can evolve from image surface.
The CAWF estimate image is shown in Figure 13b.
It adopts the bag-of-visual-words and tf-idf weighting to estimate image pair similarity.
Similar(44)
Although there exist numerous image processing algorithms for camera pipelines, very few have the ability to operate on any CFA, estimate images in color spaces with any number or shape of bands, or perform any of the pipeline calculations simultaneously.
Relevant contrast parameter estimate images were initially generated at the individual-subject level, and then submitted to a 2 (Suppression) by 2 (Time) repeated-measures ANOVA for a second-level group analysis treating participants as a random variable.
A previously described method [12] was used to estimate images signatures (module 3 in Fig. 3).
These parameter estimates were used as the measure of brain activity for each block, creating "parameter estimate images" [19], [20].
The proportion of correctly classified execution parameter estimate images was used as the classification accuracy for the subject and ROI.
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