28.02.2013 Views

Bio-medical Ontologies Maintenance and Change Management

Bio-medical Ontologies Maintenance and Change Management

Bio-medical Ontologies Maintenance and Change Management

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Multimedia Medical Databases 91<br />

differentiate colors excepting the blue <strong>and</strong> green. The cons can differentiate the<br />

colors <strong>and</strong> increase the image clarity, but cannot work in low light. That is the<br />

reason why in twilit light we cannot see clear, the colors “disappear” <strong>and</strong><br />

everything have bluish <strong>and</strong> greenish hues. In these conditions works only the rods.<br />

If the light is very bright, it works only the cons. There are three types of cons,<br />

each with its own spectral sensibility. They are red, green <strong>and</strong> blue depending to<br />

their sensibility to these colors. The cons are grouped in the posterior side of the<br />

retina, in the so-called yellow spot. Most of the rods are positioned outside the<br />

yellow spot, along with few rare cons [96].<br />

In colors perception, the color is not only a wavelengths collection but it is also<br />

influenced by the adjacent colors. This process if called chromatic induction.<br />

As we have presented above, the perception of color images is a complex<br />

process. To simplify this, several suppositions are being made. The first<br />

supposition is that the color is a process that involves a single pixel. The colors<br />

perception is not influenced by the surrounding colors.<br />

It is supposed that some factors can be ignored: the distance to the color, the<br />

display quality <strong>and</strong> the ambient light. In general, these parameters are hard to be<br />

controlled in the content-based retrieval applications.<br />

3.4 Color Systems<br />

Taking into consideration that the content-based visual query process must use<br />

color systems with certain properties, some of them will be presented in detail.<br />

The studies made on color images showed that these color systems are the best<br />

c<strong>and</strong>idates for usage in this process. It is also presented the RGB color system<br />

because the other color spaces result by linear or non-linear transformations of it.<br />

3.4.1 RGB Color System<br />

The first color space that is presented is the RGB color space (figure 3.2) [29, 36].<br />

This color space is built on a cube with Cartesian coordinates. Each dimension of<br />

the cube represents a basic color. Each point inside the cube represents a certain<br />

hue. The coordinates of a point specify the contribution of each basic color to<br />

the final color. The values of the coordinates for each point must be between<br />

0 <strong>and</strong> 255.<br />

The pure red has the coordinates (255, 0, 0), the pure green has the coordinates<br />

(0, 255, 0) <strong>and</strong> the blue’s coordinates are (0, 0, 255). The yellow is (255, 255, 0)<br />

<strong>and</strong> the orange is between red <strong>and</strong> yellow <strong>and</strong> has the coordinates 255, 127, 0).<br />

The diagonal between black (0, 0, 0) <strong>and</strong> white (255, 255, 255) gives different<br />

grey hues.<br />

This model has the possibility to represent 256 3<br />

meaning more than 16 million<br />

colors.<br />

This color system has the following characteristics [29]: device dependent, not<br />

perceptual uniform (that is why adjacent colors in RGB space don’t imply color

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!