PT Unknown
AU Lluis Pere de las Heras
   Joan Mas
   Gemma Sanchez
   Ernest Valveny
TI Wall Patch-Based Segmentation in Architectural Floorplans
BT 11th International Conference on Document Analysis and Recognition
PY 2011
BP 1270
EP 1274
DI 10.1109/ICDAR.2011.256
AB Segmentation of architectural floor plans is a challenging task, mainly because of the large variability in the notation between different plans. In general, traditional techniques, usually based on analyzing and grouping structural primitives obtained by vectorization, are only able to handle a reduced range of similar notations. In this paper we propose an alternative patch-based segmentation approach working at pixel level, without need of vectorization. The image is divided into a set of patches and a set of features is extracted for every patch. Then, each patch is assigned to a visual word of a previously learned vocabulary and given a probability of belonging to each class of objects. Finally, a post-process assigns the final label for every pixel. This approach has been applied to the detection of walls on two datasets of architectural floor plans with different notations, achieving high accuracy rates.
ER