Segmentation of digital urban maps into region

Abstract: With the rapid development of urban areas, the areas which may be used for new buildings are becoming smaller and smaller. Cities are divided into different areas based on the activities in these areas, a process called functional zoning. Depending on the functional zone, different kinds of buildings may be built. This thesis consists of two parts. The first part discusses segmentation of functional zones and image pre-processing such as morphological closing. The other part is about finding suitable building areas in Google maps. The thesis also presents an algorithm, implemented in Matlab, which provides a simple and efficient way of finding suitable building areas using Google maps.