Image Processing Reference
In-Depth Information
(1) A very complicated parallel local operation can be implemented by the
iteration (or serial composition) of relatively simple parallel local opera-
tions.
(2) A global operation may be realized by iterative use of operations O i ,even
if O i is a local operation with a very small neighborhood.
(3) A certain type of the recursive expression is derived to specify an image
operation which is dicult to represent by a closed form. This often sim-
plifies theoretical analysis of the behavior of image operations. In fact, a
data-dependent operation cannot be expressed by an explicit form before-
hand. By using the iterative form, on the other hand, we may give a smart
explicit representation of such operation with some parameters including
the number of iterations. Examples of iterative local parallel operations
which are of practical importance include distance transformation, fusion
(morphological operation), and thinning.
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