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Research On Automatic Recognition Of Automobile Wire Harness Drawings

Posted on:2009-09-02Degree:MasterType:Thesis
Country:ChinaCandidate:S S HeFull Text:PDF
GTID:2178360245971752Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Automobile wire harness drawings represent component arrangements andwire harness connection relations and thus are the important data input in wireharness technology design. Due to the inefficiency problem in technology designresulting from manual ways, drawing recognition technology is introduced to wireharness drawing analysis. On the basis of analyzing toward the electrical part graphand drawing layout, this dissertation put forward rule-based method and graphmatching method. The main research work is listed as follows:(1). Introduced rule-based method to recognition of wire harness. First, rules areestablished by analyzing the element of wire harness segment; then accordingto heuristic rules which are acquired from the connected acyclic feature anduniqueness, the wire harness segment is recognized and validated again.(2). Put forward accurate matching of multi-connected region graph based ontriangulation. First, the multi-connected region graph is represented byencircled polygon and connected polygon; then, the positioning problem ofincluded connectivity is solved through triangulation according to principlesof shortest-distance, non-overlay and inclusion. In the matching process,firstly the contour is positioned by matching encircled polygon, and then theconnected region is removed successfully according to matched connectedpolygon, eventually accurate matching of rotated and scaled graph isaccomplished by shrinking the graphic region step by step.(3). Put forward similarity matching of electrical parts based on self-organization hierarchical feature. First, self-organization feature hierarchical structure is established by combining all the connected regions of electrical part effectively; second, the self-organization feature is positioned by searching contour and accurate matching, and the similar part is identified by establishing self-organization hierarchical feature. And at last the similarity is denoted by using similarity formula.
Keywords/Search Tags:Drawing Recognition, Similarity Matching, Multi-connected Region Graph, Triangulation, Self-organization Hierarchical Feature
PDF Full Text Request
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