Image Processing Reference
In-Depth Information
Fig. 6.6 Dilation with different sized structuring elements
Fig. 6.7 Erosion of the binary image in Fig. 6.4 using S 1
In Fig. 6.7 the binary image in Fig. 6.4 is eroded using the structuring element
S 1 . First of all we can see that the main object gets smaller and the small objects
disappear. Secondly we can observe that the fractured parts of the main object are
removed and only the “core” of the object remains. The size of this core obviously
depends on the size (and shape) of the structuring element.
In Fig. 6.8 a real image is eroded with different sized box-shaped structuring
elements. Again we can see that the object becomes smaller and the small (noisy)
objects disappear. So the price we pay for deleting the small noisy objects is that
the object of interest becomes smaller and fractured. Below we will return to this
Level 3: Compound Operations
Combining dilation and erosion in different ways results in a number of different
image processing tools. These are denoted compound operations . Here we present
three of the most common compound operations, namely Opening , Closing , and
Boundary Detection .
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