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Description
The adaptive threshold tool will look for defects within images
The defects will be found with the formula (Pixel - Mean) - change = answer.
See the style paramater for all options.
Notes
Once setup the tool can be run without showing the output to the viewer.
To do this
Currently only works on monochrome images
- set the image mode to "OnOrigonalCopied"
- set the refresh viewer to off/none
- right click on the tool to see the processed image or to
restore the image again
Inputs
CIFViewer
display viewer source image if no image sepecified
CIF
option image to operator on
ROI
ROI: Region of Interest, this describes the box that will be define the area in question.
Parameters
Image
the adaptive thresholded image - displayed within the viewer if defined.
M
M: This area has three options that allow the user to find the Mean,
the MaxMin, or the Medium points within the region of interest.
C
C: a lower number here gives for a lower change graded
neighbourhoodX & neighborhoodY: give the pixel amount of the
grid..... This means that the axis of X & Y will multiply against
one another to form a grid pattern for the region of interest. This
grid is what will be used to find the Mean, MinMax, and Medium point
areas, and these averages will be used to find parts that do not fit in
and are defects.
Style
Style: this indicates the style within which the image and the defects will be detected.
Style options: Grey, GreyAbs, Binary, BinaryAbs: these will alter the
binary: pixel = (pixel<(mean-C))?0:255;
BinaryAbs: pixel = abs(pixel-mean)
Grey: pixel = value-mean+C (0..255)
GreyAbs: pixel = abs(value-mean+C) (0..255)
ImageMode
Set how the ouput image is to be handled