||Image analysis is a topic of ever growing popularity around the globe. Nowadays it affects not only corporations using it within an economic interest, but also the average user who for example uses a digital camera. Object segmentation is the process of finding, outlining and extracting objects in an arbitrary digital image. This process can be done with a variety of tools, but most of the time these are too complicated for the inexperienced user to handle. The object of this master thesis work is to identify and implement a solution for segmenting an image and to be able to use the result with an already existing application made by MRM Worldwide. The application is made to let users repaint areas of a house on a digital image. The solution identified requires a very small amount of interaction from the user to make it as easy as possible. The method is a combination of different techniques based on colour space projections and watershed segmentation combined with seeding information given by the user.