Furthermore, the body constrictions are not accompanied with segmentation in inner structures and could not be defined as segmentation according to Scholtz (2002).
Foreshock-mainshock sequences are also recognized as earthquake doublets, observed in various tectonic settings, which phenomenon has been understood in terms of defined fault segmentations in some form (e.g., Lay and Kanamori, 1980; Engdahl et al., 2007; Nakano et al., 2010).
To annotate a segment as a gain, loss or neutral copy number, we define a segmentation and clustering approach.
Suppose e'(e' ∈ N) is the number of times the type I error occurred during the segmentation process, and e "(e " ∈ N), the number of times the type II error occurred, then we can define manual segmentation error rate (MSER): MSER=left({e}^{prime }+{e}^{{primeprime}}right)/n.
This information can then be used to define optimized segmentation thresholds.
The idea of local image entropy was introduced in [24], where the measure of local entropy defines the segmentation boundaries in multiple-object images.
We define this segmentation rate as follows: Υ ICE = 1 T ∑ t = 1 T δ r ̂ [ q max ] ( t ) = r ( t ).
The parameter T r defines the segmentation of the RIR (where t=0 denotes the arrival time of the direct signal), so that h d (t) consists of the direct part and some early reflections, while h r (t) is composed of the late reverberant part.
As is the case for many biological applications, the most challenging bottleneck in configuring an image analysis pipeline is the segmentation, defined as the identification and partitioning of the individual plaques in the image.
To automate the selection of channel-merging weights, a training data set of images with user-defined segmentation would be needed to tune these two parameters.
Image segmentation is defined as the partitioning of an image into no overlapping, constituent regions that are homogeneous, taking into consideration some characteristic such as intensity or texture [1, 2].
