Texture analysis of aerial photographs

摘要

Different image textures manifest themselves by dissimilarity in both the property values and the spatial interrelationships of their component texture primitives. We use this fact in a texture discrimination system.An image is first segmented into closed regions called units. Then, a set of properties is calculated for each of the units. The units along with their respective properties constitute the primitives.The discrimination between texture categories has two parts: the training phase and the classification phase. The primitives and the relationships which are obtained from representative training images are used to develop criteria for the classification phase. During classification, the primitives of the image under test are first used to assign a unit to one of several cluster types. Then, each primitive is assigned to the most likely texture class given its cluster type and the cluster types of its spatially adjacent neighbors.The method is used on three images: a noisy checkerboard, a simulated texture and an aerial photograph.