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An OpenCV-based method for detecting label information of building drawings

A technology for architectural drawings and label information, applied in the field of detection, can solve problems such as invalid drawings, mis-reviewed or missed-reviewed label areas, visual fatigue, etc.

Active Publication Date: 2018-12-14
HUAIYIN INSTITUTE OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The construction of the digital drawing review platform has improved the review efficiency of architectural drawings, but manual review by drawing review experts is still required
As the working hours increase, it is easy to cause visual fatigue, and it is easy to cause misapproval or omission of the label area, and the design unit forgets to add a signature or other label to the drawing when designing the drawing, resulting in the invalidation of the drawing

Method used

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  • An OpenCV-based method for detecting label information of building drawings
  • An OpenCV-based method for detecting label information of building drawings
  • An OpenCV-based method for detecting label information of building drawings

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Embodiment Construction

[0040] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0041] like Figure 1-4 As shown, a kind of OpenCV-based architectural drawing label information detection method of the present invention comprises the following steps:

[0042] Step 1: Use the PyMuPDF library to convert the format to the png format architectural drawing image G2 in the same proportion as the original architectural drawing G1 to ensure the information integrity of the architectural drawing image.

[0043] Step 2: Carry out the preprocessing operations of grayscale, binarization ...

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Abstract

The invention discloses an OpenCV-based method for detecting label information of building drawings. The invention extracts label information in building drawings effectively by optimizing and combining partial algorithms provided by OpenCV and OCR character recognition. Firstly, the pdf format is converted to png format supported by OpenCV, then grayscale, binarization and Canny edge detection are performed, and then the connected region is formed by dilatation, and the label area is determined according to the contour feature. Finally, the label information is recognized by OCR. The method of the invention effectively realizes the information detection of the label area in the building drawings, realizes the pre-examination work of the building drawings, and improves the examination efficiency of the building drawings.

Description

technical field [0001] The invention relates to a detection method, in particular to a detection method of architectural drawing label information based on OpenCV. Background technique [0002] The architectural drawing label information detection method in the present invention is oriented to design units and drawing review experts, plays an auxiliary role in the review process of architectural drawings, and improves the review efficiency. With the promotion of digital applications, the review of architectural drawings has been transformed into an online platform review, which realizes the parallel review of drawings. However, it is still necessary for the design unit to upload the drawings, and the corresponding professional drawing review experts download the drawings for review. How to effectively detect drawing label information, so as to provide design units and drawing review experts with drawing pre-review function, when the design unit submits drawings, feedback whe...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06K9/32G06K9/46
CPCG06V10/255G06V20/63G06V10/267G06V10/44G06V30/10
Inventor 朱全银刘涛严云洋高尚兵冯万利潘舒新许康
Owner HUAIYIN INSTITUTE OF TECHNOLOGY