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The aim of the interpretation of documents is to extract as automatically as possible their characteristic elements in order to store them as object instead of pixel. The paper deals with a cadastral map interpretation device. The authors' approach to solve this problem is two fold : first, it consists of vectorizing the image by extracting the lowest information level, then, using the low level primitives and introducing the knowledge of the cadastral map, it reconstructs real cadastral entities. First, the authors present the decomposition of the information into different levels of abstraction (from the low level information to the real cadastral object). The authors also present the interactions between these different levels, interactions which are managed by the coherence of the objects on each of the different levels. The authors present the different original tools allowing the extraction of low level primitives. > |
