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Bio-medical Ontologies Maintenance and Change Management

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104 L. Stanescu, D. Dan Burdescu, <strong>and</strong> M. Brezovan<br />

In figure 3.8 there are presented some of images retrieved in the case of quantization<br />

at 166 colors <strong>and</strong> using the histograms intersection. The first image is the<br />

query image. The “r” symbol indicates that the image was established as relevant,<br />

<strong>and</strong> “nr” like irrelevant.<br />

(query) ( r )<br />

( r ) ( r )<br />

( r ) ( r )<br />

( r ) ( r )<br />

Fig. 3.8. Stomach <strong>and</strong> duodenum ulcers. The retrieved images using the histograms intersection<br />

in the case of the quantization at 166 colors for the query image from the first position.<br />

In our experiments, the best results were obtained, constantly, computing the<br />

histogram intersection or the histogram quadratic distance in all three cases of<br />

quantization. Also, the histogram Euclidian distance gave satisfying results. The<br />

color space <strong>and</strong> the number of quantized colors do not influence very much the<br />

queries results. As a result, the HSV color space quantized at 166 colors can be<br />

considered the best solution (because the execution speed is higher).<br />

The effectuated studies shown that none of the distances mentioned above produces<br />

much better results than the others. In each case, relevant images for the<br />

query were retrieved with one of the distances <strong>and</strong> the others did not retrieve<br />

them. It could be observed that in most cases, all the results retrieved by computing<br />

the three distances may be useful for not loosing relevant images for the query;<br />

consequently, they complement one another. In conclusion, it can be executed a<br />

parallel display of the images provided by the all three distances that have been<br />

studied.

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