Service process model image recognition and reconstruction method
A business process and image recognition technology, applied in character and pattern recognition, image enhancement, image analysis, etc., can solve the problems of time-consuming, inefficient, tedious drawing work, etc., to save time, improve efficiency, and complete the model Effect
Active Publication Date: 2020-02-25
NANJING UNIV
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Problems solved by technology
When a business flow chart is complex, even with the support of modeling tools, the drawing work is still very cumbersome
In this case, if it is necessary to process and collect a large number of business process models, it will be very time-consuming and inefficient to rely solely on manual drawing
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[0051] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0052] The purpose of the present invention is to solve the problem that business process model pictures cannot be edited, and proposes a method for extracting and reconstructing business process model information from BPMN pictures based on image contour recognition and image classification. By using morphological operations to segment the image, the business process model image can be quickly and accurately divided into independent parts; the contour detection algorithm is used to replace the mainstream target detection deep neural network algorithm, and the element detection is improved under the premise of ensuring accuracy. Efficiency, determine the position and size of the elements in the picture; use the Hough transform to detect the straig...
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The invention discloses a method for extracting service process model information from a BPMN picture and reconstructing the service process model information based on image contour recognition and image classification, and the method comprises the steps: carrying out the segmentation of the picture through morphological operation, and quickly and accurately segmenting the service process model picture into independent parts; replacing a mainstream target detection deep neural network algorithm with a contour detection algorithm, improving the efficiency of element detection on the premise ofensuring the accuracy, and determining the positions and sizes of elements in the picture; detecting the straight line in the picture by using Hough transform, so as to complete the detection of the connection relationship, wherein the complex connection relationship can also be correctly detected by using a special recursive algorithm; using an optical character recognition technologyto recognizetext information in stream elements. The model is more complete; the service process model can be automatically constructed from the BPMN picture and the model definition file can be exported, so that modification and editing are facilitated, and the time consumed for manually drawing the business process model is greatly saved.
Description
technical field [0001] The invention relates to a method for identifying and extracting image information, in particular to a method for extracting and reconstructing business process model information from a BPMN picture based on image contour recognition and image classification, and belongs to the technical fields of business process management and computer vision. Background technique [0002] Business Process Modeling Notation (BPMN) is a standardized software process modeling notation that contains a variety of graphical elements, including events, activities, gateways, sub-processes, data objects, sequence flows, message flows, pools, etc. Use business process modeling notation to concisely and clearly describe the flow of control and data in a software process. After these elements are combined in an orderly manner, a very complex activity execution process can be described. [0003] Similar to general graphical modeling tags, business process models drawn using bus...
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IPC IPC(8): G06T7/00G06T7/12G06T7/194G06T5/30G06K9/34G06T11/60
CPCG06T7/0002G06T7/12G06T5/30G06T7/194G06T11/60G06T2207/20081G06T2207/20084G06V30/153G06V30/10
Inventor 葛季栋李传艺潘凌伟周筱羽骆斌
Owner NANJING UNIV