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27-2 Industrial Communication Systems<br />

RGB 4:2:2<br />

pixel (0,0) pixel (1,0) pixel (2,0) pixel (3,0) pixel (0,0) pixel (1,0) pixel (2,0) pixel (3,0)<br />

B<br />

B<br />

B<br />

B<br />

V<br />

V<br />

G<br />

G<br />

G<br />

G<br />

U<br />

R<br />

R<br />

R<br />

R<br />

Y<br />

Y<br />

Y<br />

Y U<br />

pixel (0,1) pixel (1,1) pixel (2,1) pixel (3,1) pixel (0,1) pixel (1,1) pixel (2,1) pixel (3,1)<br />

B<br />

B<br />

B<br />

B<br />

V<br />

V<br />

G<br />

G<br />

G<br />

G<br />

U<br />

U<br />

R<br />

R<br />

R<br />

R<br />

Y<br />

Y<br />

Y<br />

Y<br />

pixel (0,2) pixel (1,2) pixel (2,2) pixel (3,3) pixel (0,2) pixel (1,2) pixel (2,2) pixel (3,3)<br />

B<br />

B<br />

B<br />

B<br />

V<br />

V<br />

G<br />

G<br />

G<br />

G<br />

U<br />

U<br />

R<br />

R<br />

R<br />

R<br />

Y<br />

Y<br />

Y<br />

Y<br />

pixel (0,3) pixel (1,3) pixel (2,3) pixel (3,3) pixel (0,3) pixel (1,3) pixel (2,3) pixel (3,3)<br />

B<br />

B<br />

B<br />

B<br />

V<br />

V<br />

G<br />

G<br />

G<br />

G<br />

U<br />

U<br />

R<br />

R<br />

R<br />

R<br />

Y<br />

Y<br />

Y<br />

Y<br />

4:2:0 4:1:1<br />

pixel (0,0) pixel (1,0) pixel (2,0) pixel (3,0) pixel (0,0) pixel (1,0) pixel (2,0) pixel (3,0)<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

U<br />

UV<br />

UV<br />

pixel (0,1) pixel (1,1) pixel (2,2) pixel (3,1) pixel (0,1) pixel (1,1) pixel (2,1) pixel (3,1)<br />

Y<br />

Y<br />

Y<br />

U<br />

Y<br />

Y<br />

Y<br />

Y<br />

Y<br />

pixel (0,2) pixel (1,2) pixel (2,1) pixel (3,3) pixel (0,2) pixel (1,2) pixel (2,2) pixel (3,3)<br />

Y<br />

Y<br />

Y<br />

Y<br />

U<br />

Y<br />

Y<br />

Y<br />

Y<br />

UV<br />

UV<br />

pixel (0,3) pixel (1,3) pixel (2,3) pixel (3,3) pixel (0,3) pixel (1,3) pixel (2,3) pixel (3,3)<br />

Y<br />

Y<br />

Y<br />

Y<br />

U<br />

Y<br />

Y<br />

Y<br />

Y<br />

V<br />

V<br />

V<br />

V<br />

FIGURE 27.1<br />

Multimedia information.<br />

used in analog signals, has one plane used for luminance (Y or brightness) and the other two used by the<br />

chrominance component (U and V, the information on color). It is known that the human vision system<br />

(HVS) is more sensitive to the quality of the Y plane than the U and V planes, so subsampling is applied<br />

to reduce the amount of information in analog signals and can be seen as a first stage of compression.<br />

The resolution and the fps rate are established by the type of application. Once established, these factors<br />

influence the requirements of the image’s characteristics, the spatial relationship of the equipment<br />

participating in the application, and the implications for the temporal requirements that must be<br />

satisfied. Although there is a wide range of multimedia applications being used in factory automation,<br />

such as virtual manufacturing [WIF01] or online interactive training, we consider [SS07] process<br />

monitoring and control through image processing to be the most relevant. In the case of monitoring<br />

processes, where an application’s temporal requirements are not critical, the sensor and the visualization<br />

node can be in the same machine, in the same plant, or in any part of the world. In the case of automated<br />

control, where applications do have critical temporal requirements, sensor and processing node<br />

are normally in the same machine (personal area network, distances of a few meters), but other solutions<br />

are possible as well. Reductions in costs and the increases in processing capacity are giving rise to a new<br />

generation of intelligent cameras, where capture and image processing are integrated in the same device<br />

(distances in centimeters). On the other hand, this area is beginning to see the influence of the expanding<br />

use of Ethernet to areas outside the office, and this is leading to the use of IP technology in image<br />

transmission over distances of hundreds meters normally, but also over greater distances, when there<br />

are less strict temporal requirements.<br />

In Figure 27.2, the use of different types of <strong>communication</strong> networks used in multimedia applications<br />

depending on <strong>communication</strong> distances between sensor and processing node can be seen.<br />

© <strong>2011</strong> by Taylor and Francis Group, LLC

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