Underwater Light Identification – Article Example

Underwater Light Identification Naturally, capturing color in water is challenging because of the massive non-uniform attenuation of light in water across the visible spectrum. In underwater situations, clarity and visibility of images are compromised by light absorption and scattering hence causing one color to dominate the image. While referring to color- accurate underwater imaging using perceptual adaptive illumination, identification of underwater man-made object using color and underwater image enhancement using an integrated color model articles, this paper summarizes the underwater light identification.
Most importantly, light perception depends on physical, physiological and psychological components. The physical component involves a spectral composition of the light which illuminates the colored body (Bazeille et al 1). Moreover it is the spectrum reaching the light that determines the color reflected. Light being a form of electromagnetic radiation travels faster in water. Basically when light travels through water its magnitude drops exponentially with the distance from the source, this is referred to as attenuation.
The marine environment contributes to the multiple reflections of suspended particles due to the scattering images which changes the electromagnetic energy. With the increasing need to solve problems of image enhancement and light identification in marine research, researchers have invented different ways to improve the quality of underwater images in order to streamline the image processing analysis. This includes the state-of-art technology like the autonomous underwater vehicles, sensors and optical cameras and visually guided swimming robots. However, the technology has been faced by some challenges for example the movement of underwater vehicles in water generates shadows in the scene whereas the optical camera provides limited visibility especially in underwater light identification (Iqbal et al 3).
In addition, the use of contrast stretching RGB algorithm to equalize the light contrast is used in identification, also saturation and intensity stretching of HIS is used to increase the color and solve the problem of lighting.
Work Cited
Bazeille, S. et al (2006) Identification of underwater man-made object using color. Sea Tech Week
Iqbal, K et al (2007) Underwater image enhancement using an integrated color model. IAENG International Journal of Computer Science.