User oriented color space for satellite image segmentation using fuzzy based techniques

Color space or model can defined as a mathematical tool or form to characterize hue (color) information as three or four different color channels or signals or components. Different color spaces can be applied for variety of uses such as image processing, printing, TV broadcasting, and object recognition. In segmentation process, the image pixels are dividing based on any one characteristics of the image. There are number of methods for the segmentation of images but every method has its own advantages and limitations. For the segmentation and extraction of information from satellite images, various approaches have been proposed. Both soft and non-soft computing methods have been applied on satellite images to obtain meaningful clusters. Even though, many literatures are available for non-soft computing methods, only a limited number of authors have proposed soft computing based segmentation of satellite images. In this work, fuzzy logic based approaches have been discussed and applied on user oriented color space transformed satellite images.