Image Acquisitionand Proces

144 Image Acquisition Processing with LabVIEW
FIGURE 6.1 Simple morphology — erosion and dilation.
repeated for n colors –1 (i.e., the number of color neighboring couples), and then these
morphed images are weighted back using their respective gray levels (each morphed
binary is typically promoted to the next highest gray level) and recombined into an
image with n colors –1 colors.
6.2 PRACTICAL MORPHOLOGY
Simple dilation, erosion, opening and closing can be easily achieved using either
IMAQ Morphology or IMAQ GrayMorphology 1 (Figure 6.1).
The morphological function performed on the source image in Figure 6.1 was
performed using the code shown in Figure 6.2. Similarly, both opening and closing
FIGURE 6.2 Simple morphology: erosion and dilation — wiring diagram.
can be achieved using the same VIs. As you can see in Figure 6.3, the opening
routine discards the small specular objects around the main object, whereas the
closing routine attempts to include the specular data to the east of the circle,
effectively closing the spaces between the solid object and close outlying objects
(Figure 6.4)
1
These vision routines presume that the object of an image is the brightest section, and the background
is the darkest; therefore, you may need to invert an image before attempting practical morphology.