LUT (Look Up Table) Color to Binary
This tool converts color images to binary black and white.
Using the LUT Color to Binary Tool
The
LUT Color to Binary Tool needs to be trained before it can be run.
The color that is trained (or, the colors that fall within the
defined thresholds) will become white, the rest of the color will turn
to black.
Training the Tool/Defining Thresholds.
1.
Grab an image so that it appears on the viewer window.
2. Drag the LUT Color to Binary Tool onto the sequence. When the tool is selected its ROI will appear on the screen. Place the ROI over the color on the image that you want to train.

3.
Right-click the tool in the sequence. While making adjustments to
the location of the ROI and the thresholds it is a good idea to Store the image. Selecting Store will allow the image to be Restored once the tool has been applied.
4. Right-click the tool and choose Train.
This will define a set of thresholds for the image based on the
average color in the ROI. When the tool is applied the color
within the ROI will turn to white. Right-click and choose Apply.

5. To edit the thresholds defined by the ROI, right-click the tool and choose Edit. Navigate to the Color/Binary property page.
6.
On the Color/Binary page there are three sets of thresholds,
tolerances and offsets. These represent the three color planes of
whatever color space is currently being used. The tolerance can
be setup using all three planes, or just one or two. The Reference Plane
for each set of options controls which plane those options relate to.
If all three Reference Planes are set to the same number then
only one plane will be used.
7. For each color plane the Upper and Lower Color Thresholds
are shown These cannot be edited directly. They are a
reflection of the ROI location in combination with the user defined Train Tolerance % and Train Offset.
The higher the Train Tolerance % for each plane, the wider the
thresholds will be set. The Train Offset will increase or
decrease (if possible) both the Upper and Lower Thresholds by the
defined value.
Note: When Editing and Training the tool, be sure to restore the image to its original state before training.