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identified by Segmentation (classes) can either be removed from or kept in the
image, while discarding the remainder of the image. Therefore, this process can be
used for separating items or objects of interest from the "background noise" that
normally occurs in most acquired images.
The process of identifying colors is the key to the operation of Segmentation. Due to
the vast possibilities of differences in the images, and the color composition of the
object(s) to be identified, ToupView provides Histogram based models for identifying
the segmented area.
Choose Segmentation command on a True Color image, select either Red(R),
Green(G), or Blue(B) channel to do the operation.
12.4 Binary••• Shift+B
Binary is a kind of gray level process. If the gray of the pixel is greater than the given
threshold, the pixel's color will be changed into white. Otherwise, the pixel's color will
be changed into black. Although the process may lose some information, it is an
important step of other processes.
The curve on the Binary dialog shows the gray distribution of the image.
The line in the dialog indicates the threshold value. Drag the line to change the