USE OF TEXTURE OPERATORS IN SEGMENTATION

Computer vision systems applicable for the analysis of complex high resolution aerial images require reliable and robust operators for extracting information from the images. These operators should be able to interrogate the image data and derive meaningful information about the presence of various objects appearing in the scene. In this paper we describe the development of operators that are derived from a texture analysis methodology for performing segmentation of high resolution imagery. The utility of these operators for characterizing various perceptually meaningful properties is demonstrated by performing experimental analysis of urban scenes.