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Boundaries recognition and classification for slicing image of assembly

机译:装配体切片图像的边界识别和分类

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摘要

This paper presents an approach to recognize and classify the boundaries of assembly image. Its procedure includes: Step 1: By tracing, all contour rings are identified firstly, then using transformation algorithm, all non minimum contact rings are transformed to minimal contact rings; Step 2: A contour ring tree is constructed according to the relation of all rings; Step 3: Deformation is imposed to the tree by copying, inserting, uniting and deleting a node in the tree, the final ring tree completely and exactly expresses the inclusion relation of contour rings of assembly slice image; Step4: Classification is applied to the contour rings by material-region matching, continuity checking and combination. The entire contours of assembly can be correctly classified in order to reconstruct the geometric model of part in assembly.
机译:本文提出了一种识别和分类装配图像边界的方法。其过程包括:步骤1:通过跟踪,首先识别出所有轮廓环,然后使用转换算法将所有非最小接触环转换为最小接触环;步骤2:根据所有环的关系构造轮廓树。步骤3:通过复制,插入,合并和删除树中的节点,使树变形,最终的环形树完整准确地表达了装配切片图像轮廓环的包含关系。步骤4:通过材料区域匹配,连续性检查和组合对轮廓环进行分类。装配的整个轮廓可以正确分类,以重建装配中零件的几何模型。

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