Using Digital Image Processing in analyzing Air Pollutants’ Effects for two Smoke Types Upon a Colored Tested Image

Local environmental problems such as noises, red tides, air pollution and water clarity that obstructed the comfortable human lives take an attension through the last few decades. Air pollution as an example can cause a variety of health problems, and may cause haze, smog, reduces visibility, dirties, damages buildings, other landmarks, and harms trees, lakes and animals. So, in order to study smoke effect, a comparison study for two smoke types had been taken into considerations to study air pollutants upon a colored scence inside a wooden system designed for this purpose. In such system two kind of smoke sources had been utilized, a burning incense is used as a white smoke emission and the second one is by burning a piece of rubber and nylon with crude oil as a source for black smoke emission. Results show a similar behavior of the wavelength spectrum of all ink colors for both smoke types. The particulate oil in the black smoke affects strongly upon an ink absorption/reflection spectrum through shifting the spectrum toward the lowest values of gray level intensities (i.e. darker pixels) and this is due to the higher scattering efficiency which is dominant in this case.