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Topological structure based flow chart similarity method

A topology and flow chart technology, applied in still image data retrieval, special data processing applications, instruments, etc., can solve problems such as weak correlation, slow classification speed of supervised classification methods, and increasing complexity.

Inactive Publication Date: 2015-03-25
RES INST OF SUN YAT SEN UNIV & SHENZHEN
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Problems solved by technology

[0006] The purpose of the present invention is to provide a similarity measurement method for the flow chart, which can solve the problems of the current supervised classification method, such as the slow classification speed, the exponential growth of the complexity with the increase of the number of features, and the influence of the characteristics of weak correlation on the classification accuracy. The problem

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  • Topological structure based flow chart similarity method

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0046] refer to figure 1 , the topology-based flow chart similarity method of the technical solution includes the following steps:

[0047] Step 1: Convert the flow chart into a graph model;

[0048] Identify elements such as rectangles, rhombuses, straight lines, and arrows in the flow chart, and record the logical relationship of each element in the flow chart.

[0049] Step 2: For the described graph model, construct minimum breadth-first (BFS) coding tree;

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Abstract

The invention discloses a topological structure based flow chart similarity method and relates to the field of digital image retrieval. The method includes: converting a flow chart into a graph model; constructing a minimum BFS (breadth first search) code tree for the graph model; according to the hierarchical relation of the minimum BFS code tree, weighting nodes and measuring similarity of the flow chart model. All the nodes of the flow chart are weighted according to the hierarchical structure of the minimum BFS code tree corresponding to the flow chart, adverse impact of the low-relevancy nodes on similarity measurement effect is avoided effectively, precision of the flow chart similarity measurement method is improved, meanwhile matching number of the nodes of the flow chart is reduced greatly, time efficiency of the flow chart similarity measurement method is improved, and accordingly the method has high practical value.

Description

technical field [0001] The invention relates to the field of digital image retrieval, in particular to a flow chart similarity method based on topology. Background technique [0002] Flowchart is a graphical description of processes, processes, and algorithms. It is widely used in technical design, communication, scientific research, and business briefings. Especially in scientific research, flowcharts are used to make and conclude research conclusions. One of the most popular qualitative analysis tools in terms of description, it has strong intuition and high generalization of scientific research results, and has become the main means for scientific researchers to efficiently retrieve, understand and describe the process of research results. In the face of massive flow chart data, how to quickly and effectively retrieve the flow chart and related information of interest from the massive flow chart data has become a research hotspot in artificial intelligence and pattern rec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/50
Inventor 刘海亮邓伟财苏航
Owner RES INST OF SUN YAT SEN UNIV & SHENZHEN
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