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Homogeneity map is used to improve the reasonability of the criterion [23].
A homogeneity map is generated according to the local statistics of the window formed for each image pixel.
Thus, k is estimated as the mean of the local intensity differences on the homogeneity map, i.e., (27).
The homogeneity map method uses the advantageous properties of a filter with a better smoothing capability than the edge-sensitive filter to increase the image quality of the edge-sensitive filter.
The original AHD repeats the calculation vertically, and it also comprises an additional direction-selection process after the generation of the homogeneity map according to the calculation of the CIELab color conversion and epsilon parameter.
In addition, the authors showed that the dependent region was slower inflated as compared with the non-dependent region, indicating inhomogeneous ventilation of the dorsal lung parts; however, they used the SDs of the RVD index to create a ventilation homogeneity map [ 21].
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Hirakawa and Parks proposed a homogeneity map-based estimation process, which adopted the luminance and chrominance similarities between the pixels on an edge [21].
The AHD consists of the following three steps: directed interpolation, homogeneity-directed map creation, and iterative noise filtering.
Fig. 2 Regional homogeneity (ReHo) maps in migraineurs without aura and healthy controls and the differences between groups.
Regional homogeneity (ReHo) rapidly maps regional brain activity across the whole brain.
Registration of the T1-weighted images improved the T1 mapping, as CRLBσ was reduced and the homogeneity of the T1 maps was increased (Fig. 2).
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