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Thesis (PDF) - Signal & Image Processing Lab

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2.4. SHAPE TREE SEMILATTICE BACKGROUND 27<br />

Let the operator, that maps f to sf, to be denoted by U.<br />

The original function f can be reconstructed from s by:<br />

f(x) =<br />

∞�<br />

[sf(x)]n. (2.13)<br />

n=1<br />

Therefore, by defining, U ∗ {s} △ = � ∞<br />

n=1 [s(x)]n for an arbitrary image of sequences<br />

s : E ↦→ Z(S), we have U −1 {r} = U ∗ {r} for any image of sequences r in the range of<br />

U.<br />

The datum of the image of sequences sf associated to f is identical to that of the<br />

tree of shapes of f. Indeed, all pixels in a shape have a common sequence prefix, and<br />

all connected components of pixels sharing a common prefix is a shape.<br />

2.4.4 Inf-Semilattice of <strong>Image</strong>s of Shape Sequences<br />

In [17], Keshet defines a type of complete inf-semilattice called Semilattice of <strong>Image</strong>s<br />

of Shape Sequences and a set of morphological operations in it.<br />

Definition 9. Let the binary relation ⊑ be given by:<br />

f ⊑ g ⇐⇒ sf(x) � sg(x), ∀x ∈ E. (2.14)<br />

Select a fixed point in E, and denote it by o.<br />

Theorem 1. Let ˜ FIN(E) be the set of all discrete natural functions, for which f(o) =<br />

0. Then according to [17], ( ˜ FIN(E), ⊑) is a complete inf-semilattice, with infimum<br />

given by<br />

[f ⊓ g](x) =<br />

∞�<br />

[sf(x) ▽ sg(x)] n . (2.15)<br />

n=1<br />

Notice that, even though the binary case provides us with a lattice, in the gray-<br />

scale case the supremum is not well defined, which leaves us with an inf-semilattice<br />

only. The reason for that stems from the inf-semilattice structure of the set of se-<br />

quences. Indeed, if f and g are given for instance by the images in Fig. 2.6(a) and (b),<br />

respectively, then the infimum f ▽ g is given by the image in Fig. 2.6(c), because the

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