User`s manual

Standard Features AW00049313000
202 Basler runner
11.9.2 Test Images on Color Cameras
The test images described in this section are available on color cameras only.
Test Image 6 - Fixed Diagonal Color Gradient Feature Test (8 bit)
As shown in Figure 65, the test image consists of alternating blue, green, and red diagonal color
gradients.
The mathematical expressions for the pixel values in the red gradients of the test image are:
Red = [column number + row number] MOD 256, Green = 0, Blue = 0
The mathematical expressions for the pixel values in the green gradients of the test image are:
Red = 0, Green = [column number + row number] MOD 256, Blue = 0
The mathematical expressions for the pixel values in the blue gradients of the test image are:
Red = 0, Green = 0, Blue = [column number + row number] MOD 256
Fig. 65: Test Image 6
Test image 6 will show the effects of any digital camera features that are enabled. This makes test
image 6 useful for checking the effects of digital features such as spatial correction.
If spatial correction is enabled, its effect will be manifested as color changes that appear at the
borders between the gradients. The effect will increase or decrease as you change the magnitude
of the Spatial Correction parameter value.
If you have the camera set for a YUV pixel data output format, you must convert the YUV output
from the camera to 8 bit RGB to display this test pattern on a monitor.
If you have the camera set for a 12 bit pixel data format, the four least significant bits of each pixel
value will be zeros.
If you have the camera set for the Mono 8 format, the camera will perform an RGB to YUV
conversion for each pixel and will output the Y component (brightness) for each pixel.