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Development of computational tools to analyze and assess the buildingcapacities has had a major impact in civil engineering. The interaction withthe structural software packages is becoming easier and the modeling tools arebecoming smarter by automating the users role during their interaction with thesoftware. One of the difficulties and the most time consuming steps involved inthe structural modeling is defining the geometry of the structure to providethe analysis. This paper is dedicated to the development of a methodology toautomate analysis of a hand sketched or computer generated truss frame drawn ona piece of paper. First, we focus on the segmentation methodologies for handsketched truss components using the morphological image processing techniques,and then we provide a real time analysis of the truss. We visualize and augmentthe results on the input image to facilitate the public understanding of thetruss geometry and internal forces. MATLAB is used as the programming languagefor the image processing purposes, and the truss is analyzed using Sap2000 APIto integrate with MATLAB to provide a convenient structural analysis. Thispaper highlights the potential of the automation of the structural analysisusing image processing to quickly assess the efficiency of structural systems.Further development of this framework is likely to revolutionize the way thatstructures are modeled and analyzed.

Segmentation and Analysis of a Sketched Truss Frame Using Morphological Image Processing Techniques