There have been a lot of improvements in understanding color perception in Psychology, Biology and Computer Science, which allows for newer and newer implementations of some of the above proposed problems. In the following, some intriguing problems and challenges are described that could attribute to the color and scene identification algorithm presented in this thesis work. Each color sensation in this model is described by three terms. Hue refers to the wavelength of light that is reflected or transmitted from the object. More generally, this is the component that signifies the perceived color, such as red, yellow and green.
Saturation stands for the strength of the hue component.
It demonstrates the lightness property of the perceived color. For humans, this measurement model provides a more intuitive way to discuss their visual experiences than the RGB color space. It is easier to reflect differences between shades of colors or different colors using these three rather than the red, green and blue indicators. That was the reason why, we also started to test the color classification features of this model. Our first task was to find a conversion between the RGB intensity measures and HSI color measures.