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Master Thesis - Fachbereich Informatik

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5. Results and Evaluation<br />

5.1. Experimental Design<br />

There are several parameters influencing the measuring results both in the hardware setup<br />

and in the vision algorithms. To yield meaningful results, it is important to vary not more<br />

than one parameter within the same experiment. In the following the parameters that are<br />

tested as well as the evaluation criteria and the strategies used are proposed.<br />

5.1.1. Parameters<br />

The different parameters of the system can be grouped into four main categories including<br />

tube, conveyor, camera and software respectively. Table 5.1 summarizes the most<br />

important representatives of each category.<br />

Obviously, there are much more parameters which have been described in the previous<br />

chapter that theoretically fall in the last category. However, most of these parameters<br />

do not have to be changed (e.g. the number of profile scanlines or the local ROI width).<br />

The corresponding value assignments have been determined empirically at representative<br />

sequences and are summarized in Table 5.2.<br />

αpeak =4.0 has been determined in a teach-in step as proposed in Section 4.7.2 and<br />

yields best results for transparent tubes with the conveyor belt and the illumination used.<br />

This assignment does also cover black tubes, although the threshold could be much larger<br />

in that case. As long as the conveyor belt is not changed and the amount of dirt on<br />

the conveyor does not change significantly, the detection sensitivity does not have to be<br />

re-initialized each time.<br />

A timeout period of ∆t = 5 frames for the tube tracking (see Section 4.6.3) has been<br />

used throughout the experiments, which is a good compromise between the number of<br />

expected per tube measurements and the distance to the light barrier.<br />

Approximately 1/4 of all measurements (rounded to the next integer value) are not<br />

considered for the total length computation with αoutlier =0.25 to eliminate outliers in<br />

the single measurements as introduced in Section 4.6.4. The same value is used for the<br />

outlier filter in the teach-in step (see Section 4.7.4)<br />

The teach-in of the calibration factor fpix2mm (see Section 4.7.4) terminates if the root<br />

mean square error does not change for more than ɛ =0.0001 between two iterations.<br />

Since it is still very complex to test all permutations and assignments of the remaining<br />

parameters, one has to make compromises in the experimental design. Therefore, some<br />

of the parameters listed above have been adjusted before the experiments to meet the<br />

assumptions made in Section 4.2. This includes the guide bar distance as well as the<br />

illumination (fiber optical back light setup through the conveyor belt) and all camera<br />

parameters, i.e. lens, working distance, exposure time and F-number. For all experiments<br />

with 50mm tubes a 16mm focal length lens at a working distance of approximately 250mm<br />

is used. The shutter time has been adjusted to 1.024ms which is a good compromise<br />

97

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