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Automatic extraction method of data in graph

A technology for automatic extraction and data, applied in the direction of instruments, character and pattern recognition, character recognition, etc., can solve problems such as low efficiency

Active Publication Date: 2020-03-24
杭州电子科技大学上虞科学与工程研究院有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to provide a method for automatically extracting data in a data graph in view of the low efficiency of the existing technology that can only use semi-automatic data extraction

Method used

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  • Automatic extraction method of data in graph
  • Automatic extraction method of data in graph
  • Automatic extraction method of data in graph

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Embodiment

[0157] Embodiments of the present invention will be further described below with reference to method flowcharts. figure 1 It is an example of various key elements in the data diagram, which is convenient for understanding the names of various elements in the specification. figure 2 It is a flow chart of the inventive method, which shows the relationship between each step of the present invention and the flow process thereof, image 3 Is the input original data map, the size is: 932*527. The graph includes cylinders and polylines, adopts a vertical layout, has two legends, and has two left and right Y axes and one X axis.

[0158] For the data graph, the method for automatically extracting the data in the graph specifically includes the following process:

[0159] 1. Locate the text area in the image and classify the located text box

[0160] There are many text detection methods in the field of deep learning, such as: EAST: An Efficient and AccurateScene Text Detector (htt...

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Abstract

The invention discloses an automatic extraction method of data in a graph. The method mainly comprises the following steps: performing text region positioning and textbox classification; performing coordinate axis positioning and scale mark position positioning of the coordinate axis; performing legend positioning and information extraction; extracting a corresponding cylinder or broken line connected component according to the legend color, and filtering and classifying; determining X-axis key points and positioning an X-axis label corresponding to each key point; according to the X-axis keypoint positioning column body and the key point of the broken line, determining a marked numerical textbox corresponding to the key point, and carrying out numerical identification; calculating a numerical value corresponding to each pixel, and estimating a numerical value corresponding to the cylinder or broken line key point; and determining a final result according to the difference between theestimated value and the identified annotation value. The method can cope with various data graph types such as a horizontally-arranged histogram, a broken line and cylinder mixed data graph, a data graph without coordinate axes and the like. Experiments prove that the method has high accuracy and precision.

Description

technical field [0001] The invention belongs to the field of computer image processing and pattern recognition, and relates to a method for automatically extracting data in a graph. Background technique [0002] Histograms, line charts, etc. are more intuitive data presentation methods, and are widely used in various industries, especially in finance, scientific research, statistics and other industries. But in daily work, sometimes you need to quote the data contained in the histogram or line chart made by others for your own reports and articles. Obtaining the data contained in the figure is a difficult task due to the unavailability of raw data. A simple way is to obtain data through intuitive observation, estimation, measurement and other means. But intuitive estimation is less accurate and inefficient. If there is an automatic data extraction method to improve the efficiency and accuracy of data acquisition, it will have very important application value. [0003] Th...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/34G06K9/40G06V30/40
CPCG06V20/62G06V10/267G06V10/30G06V30/10G06V30/40G06V30/413G06V30/414
Inventor 姚金良俞月伦胡创
Owner 杭州电子科技大学上虞科学与工程研究院有限公司
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