Segmentation Contours extraction Regions
نویسندگان
چکیده
In this work, we propose a system architecture able to classify objects into models. Each object is represented by 2D color image. The fuzzy sets theory has been a fundamental base to build algorithms presented here. Each image is segmented into semantically annotated regions. In a second step, we extract structural information which are coded into graphs. At the end, we obtain a semantic graph representing the image. The classiication will be done after nding the isomorphism between the 2D image graph and the available model graphs. All the parameters extracted by our system are constant using translation , rotation or zooming.
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