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In textiles, a moire (IPA /mwɑː/) is a fabric with a wavy (watered) appearance, caused by varying the tension in the warp and weft of the weave.

The history of the word moiré is complicated. The earliest agreed origin is the Arabic mukhayyar (مُخَيَّر in Arabic, which means chosen), a cloth made from the wool of the Angora goat, from khayyara (خيّر in Arabic), 'he chose' (hence 'a choice, or excellent, cloth'). It has also been suggested that the Arabic word was formed from the Latin marmoreus, meaning 'like marble'. By 1570 the word had found its way into English as mohair. This was then adopted into French as mouaire, and by 1660 (in the writings of Samuel Pepys) it had been adopted back into English as moire or moyre. Meanwhile the French mouaire had mutated into a verb, moirer, meaning 'to produce a watered textile by weaving or pressing', which by 1823 had spawned the adjective moiré. Moire (pronounced "mwar") and moiré (pronounced "mwar-ay") are now used somewhat interchangeably in English, though moire is more often used for the cloth and moiré for the pattern.

Moiré patterns are often an undesired artifact of images produced by various digital imaging and computer graphics techniques, for example when scanning a halftone picture or ray tracing a checkered plane (the latter being a special case of aliasing, due to undersampling a fine regular pattern).

The drawing on the right shows a moiré pattern. The lines could represent fibers in moiré silk, or lines drawn on paper or on a computer screen.

The nonlinear interaction of the optical patterns of lines creates a real and visible pattern of roughly horizontal dark and light bands, the moiré pattern, superimposed on the lines. More complex line moiré patterns are created if the lines are curved or not exactly parallel. Moiré patterns revealing complex shapes, or sequences of symbols embedded in one of the layers (in form of periodically repeated compressed shapes) are created with shape moiré, otherwise called band moiré patterns. One of the most important properties of shape moiré is its ability to magnify tiny shapes along either one or both axes, that is, stretching. A common 2D example of moiré magnification occurs when viewing a chain-link fence through a second chain-link fence of identical design. The fine structure of the design is visible even at great distances.

In graphic arts and prepress, the usual technology for printing full-color images involves the superimposition of halftone screens. These are regular rectangular dot patterns—often four of them, printed in cyan, yellow, magenta, and black. Some kind of moiré pattern is inevitable, but in favorable circumstances the pattern is "tight;" that is, the spatial frequency of the moiré is so high that it is not noticeable. In the graphic arts, the term moiré means an excessively visible moiré pattern. Part of the prepress art consists of selecting screen angles and halftone frequencies which minimize moiré. The visibility of moiré is not entirely predictable. The same set of screens may produce good results with some images, but visible moiré with others.

In manufacturing industries, these patterns are used for studying microscopic strain in materials: by deforming a grid with respect to a reference grid and measuring the moiré pattern, the stress levels and patterns can be deduced. This technique is attractive because the scale of the moiré pattern is much larger than the deflection that causes it, making measurement easier.

Moiré patterns are commonly seen on television screens directly when a person is wearing a shirt or jacket of a particular weave or pattern, such as a houndstooth jacket, due to sampling problems in the television camera. As the person moves about, the Moiré pattern is quite noticeable. Because of this, newscasters and other professionals who appear on TV regularly are instructed to avoid clothing which could cause the effect.

Taking a picture of a TV screen with a digital camera often produces severe moiré patterns.

Let us consider two patterns made of parallel and equidistant lines, e.g., vertical lines. The step of the first pattern is p, the step of the second is p+δp, with 0<δp<1.

If the lines of the patterns are superimposed at the left of the figure, the shift between the lines increase when going to the right. After a given number of lines, the patterns are opposed: the lines of the second pattern are between the lines of the first pattern. If we look from a far distance, we have the feeling of pale zones when the lines are superimposed, (there is white between the lines), and of dark zones when the lines are "opposed".

The middle of the first dark zone is when the shift is equal to p/2. The n^{th} line of the second pattern is shifted by n·δp compared to the n^{th} line of the first network. The middle of the first dark zone thus corresponds to

- n·δp = p/2

- $n\; =\; frac\{p\}\{2\; delta\; p\}$.

- $d\; =\; n\; cdot\; p\; =\; frac\{p^2\}\{2\; delta\; p\}$

- $2d\; =\; frac\{p^2\}\{delta\; p\}$

- the bigger the step, the bigger the distance between the pale and dark zones;
- the bigger the discrepancy δp, the closer the dark and pale zones; a great spacing between dark and pale zones mean that the patterns have very close steps.

Of course, when δp = p/2, we have a uniformly grey figure, with no contrast.

The principle of the moiré is similar to the Vernier scale.

Let us consider now two transparent patterns with a contrast I that varies with a sinus law:

- $I\_1(x)\; =\; I\_0\; cdot\; sin\; (2pi\; cdot\; k\_1\; cdot\; x)$

- $I\_2(x)\; =\; I\_0\; cdot\; sin\; (2pi\; cdot\; k\_2\; cdot\; x)$

- $I(x)\; =\; I\_0\; cdot\; (sin\; (2pi\; cdot\; k\_1\; cdot\; x)\; +\; sin\; (2pi\; cdot\; k\_2\; cdot\; x)\; )$

- $I(x)\; =\; I\_0\; cdot\; 2\; cos\; left\; (2pi\; frac\{(k\_1-k\_2)\}\{2\}\; cdot\; x\; right\; )\; cdot\; sin\; left\; (2pi\; frac\{(k\_1+k\_2)\}\{2\}\; cdot\; x\; right\; )$

- $frac\{1\}\{lambda\}\; =\; frac\{k\_1\; -\; k\_2\}\{2\}\; =\; frac\{1\}\{2\}\; cdot\; left\; (frac\{1\}\{p\_1\}\; -\; frac\{1\}\{p\_2\}\; right\; )$

- $lambda\; =\; 2frac\{p\_1\; p\_2\}\{p\_2\; -\; p\_1\}\; approx\; 2frac\{p^2\}\{delta\; p\}$.

This phenomenon is similar to the stroboscopy.

Let us consider two patterns with the same step p, but the second pattern is turned by an angle α. Seen from far, we can also see dark and pale lines: the pale lines correspond to the lines of nodes, that is, lines passing through the intersections of the two patterns.

If we consider a cell of the "net", we can see that the cell is a rhombus: it is a parallelogram with the four sides equal to d = p/sin α; (we have a right triangle which hypothenuse is d and the side opposed to the α angle is p).

The pale lines correspond to the small diagonal of the rhombus. As the diagonals are the bisectors of the neighbouring sides, we can see that the pale line makes an angle equal to α/2 with the perpendicular of the lines of each pattern.

Additionally, the spacing between two pale lines is D, the half of the big diagonal. The big diagonal 2D is the hypothenuse of a right triangle and the sides of the right angle are d(1+cos α) and p. The Pythagorean theorem gives:

- (2D)
^{2}: d^{2}(1+cos α)^{2}+ p^{2}

- $(2D)^2\; =\; frac\{p^2\}\{sin^2\; alpha\}(1+\; cos\; alpha)^2\; +\; p^2$

- $(2D)^2\; =\; 2\; p^2\; cdot\; frac\{1+cos\; alpha\}\{sin^2\; alpha\}$

- sin α ≈ α

- cos α ≈ 1

- D ≈ p / α

We can see that the smaller the α, the farthest the pale lines; when the both patterns are parallel (α = 0), the spacing between the pale lines is "infinite" (there is no pale line).

There are thus two ways to determine α: by the orientation of the pale lines and by their spacing

- α ≈ p / D

The moiré effect can be used in strain measurement: the operator just has to draw a pattern on the object, and superimpose the reference pattern to the deformed pattern on the deformed object.

A similar effect can be obtained by the superposition of an holographic image of the object to the object itself: the hologram is the reference step, and the difference with the object are the deformations, which appear as pale and dark lines.

See also: theory of elasticity, strain tensor and holographic interferometry.

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Last updated on Thursday October 02, 2008 at 06:33:07 PDT (GMT -0700)

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This article is licensed under the GNU Free Documentation License.

Last updated on Thursday October 02, 2008 at 06:33:07 PDT (GMT -0700)

View this article at Wikipedia.org - Edit this article at Wikipedia.org - Donate to the Wikimedia Foundation

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