30-07-2011, 02:28 PM
Abstract
Optical camouflage is a hypothetical type of active camouflage system. Optical Camouflage uses the Retro-reflective Projection Technology; a projection based augmented system, composed of a projector with a small iris and a retro reflective screen. The concept of optical camouflage is straightforward: to create the illusion of invisibility by covering an object with something that projects the scene directly behind that object. This system was conceived with the primary view in mind of concealing stationary or moving objects such as men, vehicles, or aircraft from view and has practical military, law enforcement, and security applications. In this paper, we propose a clustering method “Fuzzy-C-Means” (FCM). Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters. This method is frequently used in pattern recognition & image segmentation. Fuzzy c-means has been a very important tool for image processing in clustering objects in an image. It is introduced to improve the accuracy of clustering under noise. Our approach is based on an adaptive distance which is calculated according to the spatial position of the pixel in the image. The obtained results have shown a significant improvement of our approach performance compared to the standard version of the FCM, especially regarding the robustness face to noise and the accuracy of the edges between regions. Optical camouflage is more useful in the environment of space, where any given background is generally less complex than earthly backdrops and therefore easier to record, process, and project.
The researches are still being carried out in order to implement it using nanotechnology.