Steel bar size detection system and method based on image processing

An image processing and size detection technology, applied in the field of image processing, can solve the problems of bad interference, complex and redundant methods, and high equipment requirements, and achieve the effect of improving accuracy, accurate size recognition and positioning, and clear edges and contours

Pending Publication Date: 2020-05-19
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional acceptance method of construction site supervision is mainly based on artificial visual inspection. The daily inspection scope of the supervision engineer is limited, and the on-site inspection and measurement need to climb the building, which is not only inefficient, but also difficult to guarantee the safety and detection effect. The most serious The problem is that some companies and individuals have privately lowered the acceptance standards, resulting in loopholes in the manual acceptance process
[0004] The inventor found that the existing machine vision detection technology related to steel bars in the field of construction is mainly used in the quantity statistics of bundled steel bars and the appearance quality inspection of welds, and the research on the size detection of steel bars combined with drones is still relatively small. The main reason The drone inspection has high requirements for equipment, and the construction site environment is complex. The color of the single-layer steel bar is very close to the background color of the shading, and there are bad interference and other noises. Require
Even if there are methods for similar research applications, many methods are too complex and redundant to have more general applicability

Method used

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  • Steel bar size detection system and method based on image processing
  • Steel bar size detection system and method based on image processing
  • Steel bar size detection system and method based on image processing

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Embodiment 1

[0053] figure 1 A schematic structural diagram of a steel bar size detection system based on image processing in this embodiment is given.

[0054] The specific structure of the steel bar size detection system based on image processing in this embodiment will be described in detail below in conjunction with the accompanying drawings.

[0055] Such as figure 1 As shown, the steel bar size detection system based on image processing of the present embodiment includes:

[0056] (1) The image acquisition module, which is carried on the unmanned aerial vehicle, is configured to collect pictures of the construction site.

[0057]In a specific implementation, the image acquisition module can be realized by using a camera. Figure 2(a) is the collected panorama of the construction site. Figure 2(b) shows the extracted single-layer steel bar image to be detected.

[0058] (2) image processing module, which is configured to:

[0059] a. Detect the edge of the steel bar in the constr...

Embodiment 2

[0084] The present embodiment provides a method for detecting steel bar size based on image processing, which includes:

[0085] Step 1: Receive the construction site pictures collected by the image acquisition module carried by the drone;

[0086] In a specific implementation, the image acquisition module can be realized by using a camera.

[0087] Step 2: Detect the edge of the steel bar in the construction site picture, and extract the edge binary image;

[0088] In the specific implementation, the Sobel edge detection algorithm of direct convolution is used to detect the edge of the steel bar in the construction site picture, and the edge binary image is extracted.

[0089] The advantage of the above technical solution is that the color of the steel bar is very close to the shading background, and there are bad interference and other noises. It is necessary to use a specific edge detection algorithm combined with the Hough straight line to effectively extract the edge. Di...

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Abstract

The invention provides a steel bar size detection system and method based on image processing. The steel bar size detection system based on image processing comprises an image acquisition module whichis carried on an unmanned aerial vehicle and is configured to acquire a construction site picture; an image processing module which is configured to detect the edge of a steel bar in the constructionsite picture and extract an edge binary image; carrying out Hough straight line detection on the edge binary image, and fitting a steel bar contour edge; extracting the image containing the contour edge of the fitting steel bar again to remove shading impurities, then carrying out filtering and segmentation preprocessing, and finally detecting the contour size of the steel bar and the number of pixel points in each contour; obtaining the real area of the steel bar based on the real-time position height of the unmanned aerial vehicle, comparing the real area with the steel bar acceptance standard, and marking whether the steel bar is qualified.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a steel bar size detection system and method based on image processing. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The traditional acceptance method of construction site supervision is mainly based on artificial visual inspection. The daily inspection scope of the supervision engineer is limited, and the on-site inspection and measurement need to climb the building, which is not only inefficient, but also difficult to guarantee the safety and detection effect. The most serious The biggest problem is that some companies and individuals have privately lowered the acceptance standards, resulting in loopholes in the manual acceptance process. [0004] The inventor found that the existing machine vision detection technology related ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06T7/136G06T7/181G06T7/12G06T5/00G06T7/62
CPCG06T7/0004G06T7/13G06T7/136G06T7/181G06T7/12G06T7/62G06T2207/10004G06T2207/20024G06T2207/30164G06T5/70
Inventor 贾磊闫天冉杜延丽季雅文马思乐马晓静陈纪旸栾义忠姜向远岳文斌
Owner SHANDONG UNIV
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