Spatio-structural Symbol Description with Statistical Feature Add-On
نویسندگان
چکیده
In this paper, we present a method for symbol description based on both spatio-structural and statistical features computed on elementary visual parts, called ‘vocabulary’. This extracted vocabulary is grouped by type (e.g., circle, corner) and serves as a basis for an attributed relational graph where spatial relational descriptors formalise the links between the vertices, formed by these types, labelled with global shape descriptors. The obtained attributed relational graph description has interesting properties that allows it to be used efficiently for recognising structure and by comparing its attribute signatures. The method is experimentally validated in the context of electrical symbol recognition from wiring diagrams.
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Symbol recognition using spatial relations
In this paper, we present a method for symbol recognition based on the spatio-structural description of a ‘vocabulary’ of extracted visual elementary parts. It is applied to symbols in electrical wiring diagrams. The method consists of first identifying vocabulary elements into different groups based on their types (e.g., circle, corner ). We then compute spatial relations between the possible ...
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تاریخ انتشار 2011