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Vector-based arc segmentation in the machine drawing understanding system environment

机译:机器图纸理解系统环境中基于矢量的圆弧分割

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Arcs are important primitives in engineering drawings. Extracting these primitives during the lexical analysis phase is a prerequisite to syntactic and semantic understanding of engineering drawings within the machine drawing understanding system. Bars are detected by the orthogonal zig-zag vectorization algorithm. Some of the detected bars are linear approximations of arcs. As such, they provide the basis for arc segmentation. An arc is detected by finding a chain of bars and a triplet of points along the chain. The arc center is first approximated as the center of mass of the triangle formed by the intersection of the perpendicular bisectors of the chords these points define. The location of the center is refined by recursively finding more such triplets and converging to within no more than a few pixels from the actual arc center after two or three iterations. The high performance of the algorithm, demonstrated on a set of real engineering drawings, is due to the fact that it avoids both raster-to-vector and massive pixel-level operations, as well as any space transformations.
机译:弧是工程图中重要的图元。在词法分析阶段提取这些原语是在机器图纸理解系统中对工程图纸进行句法和语义理解的前提。通过正交之字形矢量化算法检测条形。一些检测到的条形是弧的线性近似。因此,它们为弧分割提供了基础。通过找到一条条链和一条沿着链的点的三元组来检测电弧。首先将圆弧中心近似为由这些点定义的弦的垂直二等分线的交点形成的三角形的质心。通过递归查找更多这样的三元组并在两到三次迭代后收敛到离实际弧中心不超过几个像素的范围内,可以完善中心的位置。该算法在一组真实的工程图上得到证明的高性能,是由于它避免了栅格到矢量和大量像素级操作以及任何空间转换的事实。

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