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Bio-medical Ontologies Maintenance and Change Management

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

The user may also assign a relative weight α to each attribute. For example, the<br />

user may weigh the size parameter more heavily than feature value <strong>and</strong> location in<br />

the query. For multiple regions query, the overall image query strategy consists of<br />

joining the queries on the individual regions in the query image. The join identifies<br />

the c<strong>and</strong>idate target images.<br />

For testing the efficiency of the new method <strong>and</strong> for comparing the two methods<br />

of implementation of the color set back-projection algorithm, there have been<br />

made some experiments over the <strong>medical</strong> images collection. For Method2 the<br />

hexagon edge can be equal to 3, respective 4. For each query, the images from the<br />

databases were inspected <strong>and</strong> relevance was assigned to them (1- relevant, 0 –<br />

irrelevant) <strong>and</strong> the retrieval effectiveness using recall <strong>and</strong> precision was recorded.<br />

Below, there are presented the results of one of the experiments.<br />

Experiment:<br />

In figure 5.3 there is the image for which there were detected the color regions<br />

using Method2 with edge=3. Region6 was chosen as query region, which appears<br />

as marked <strong>and</strong> emphasizes the sick area. The obtained results are presented in figure<br />

5.4. It can be observed that the first five retrieved images are all relevant for<br />

this query. The graphic of the retrieving efficiency in the case of the two presented<br />

algorithms (Method1 <strong>and</strong> Method2 with edge =3) is shown in figure 5.5. The<br />

graphics corresponding to the two methods are superposed, which means that the<br />

results of this one region query are identical.<br />

Fig. 5.3. The image with detected color regions using Method2 <strong>and</strong> edge=3; Region6 (representing<br />

the sick area) marked for the content-based region query<br />

The very good results obtained in the effectuated experiments indicate the fact<br />

that each of the two implementations methods (Method1 <strong>and</strong> Method2) of the<br />

color set back-projection algorithm can be used in the processing of the content–<br />

based visual query. The experiments show that the results obtained with the<br />

Method2 <strong>and</strong> edge=3 are closer in quality with those obtained with Method1.<br />

The advantage of the second method (Method 2 with edge equal to 3) is given<br />

by the fact that for detecting the color regions it is not necessary the pixel-by-pixel<br />

image traversal, but only the pixels arranged in the vertices of a hexagon with

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