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Image splicing method and system and electronic equipment

An image mosaic and image technology, applied in the field of image recognition, can solve the problems of poor image mosaic effect of pipeline welds

Pending Publication Date: 2019-06-28
HUBEI UNIV OF ARTS & SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide an image stitching method, system and electronic equipment to solve the problem of poor image stitching effect of pipeline welds in the prior art

Method used

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  • Image splicing method and system and electronic equipment
  • Image splicing method and system and electronic equipment
  • Image splicing method and system and electronic equipment

Examples

Experimental program
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Effect test

Embodiment 1

[0068] The embodiment of the present invention provides an image splicing method, which is applied to the weld detection of pipeline facilities, such as figure 1 As shown, the method includes:

[0069] Step S100, acquiring multiple original images to be spliced.

[0070] specific, figure 2 In the pipeline weld image acquisition device shown, the original image is acquired by the image acquisition device 230 installed on the trolley 220, and the image acquisition device 230 is composed of a CCD camera and a matching lens. Since the brightness difference on the surface of the pipeline is large, and the original image collected by the image acquisition device 230 will be distorted, the imaging effect of the welding area on the edge of the image will be poor, which will affect the subsequent splicing work. For the image in the middle position, the image with poor edge imaging quality is discarded.

[0071] According to the preset photographing position and photographing timing...

Embodiment 2

[0134] An embodiment of the present invention provides an image mosaic system, the schematic diagram of which is shown in Figure 6 As shown, among them, the system includes:

[0135] An image acquisition unit 610, configured to acquire multiple original images to be spliced;

[0136] A feature extraction unit 620, configured to perform feature location on the original image using a feature extraction algorithm to obtain target feature points;

[0137] A calculation unit 630, configured to obtain a descriptor corresponding to the target feature point by using a local differential binary algorithm;

[0138] A matching unit 640, configured to match local feature points of different original images based on descriptors to obtain a matching result; wherein, the local feature points include target feature points and at least one other feature point in a specified area around the target feature point;

[0139] A splicing unit 650, configured to splice multiple original images acco...

Embodiment 3

[0142] An electronic device provided by an embodiment of the present invention, Figure 7 It is a schematic structural diagram of the electronic device. The electronic device 700 includes a memory 701 and a processor 702, wherein the memory 701 is used to store a computer program that can run on the processor 701; when the processor 702 executes the computer program, the first embodiment is implemented. The steps of the image stitching method; the electronic device further includes a bus 703 and a communication interface 704 , and the memory 701 and the communication interface 704 are connected through the bus 703 .

[0143] Wherein, the memory 701 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface...

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Abstract

The invention provides an image splicing method and system and electronic equipment, and relates to the technical field of image recognition, and the method comprises the steps: obtaining a pluralityof to-be-spliced original images; performing feature positioning on the original image by using a feature extraction algorithm to obtain target feature points; obtaining descriptors corresponding to the target feature points by using a local difference binary algorithm; matching the local feature points of different original images based on the descriptor to obtain a matching result; and splicingthe plurality of original images according to a matching result. According to the method, multi-feature-point simultaneous matching is carried out through the local structure information to replace single feature point matching in the prior art, the image matching accuracy is improved, the final image splicing success rate is improved, and therefore the problem that in the prior art, the pipelinewelding seam image splicing effect is poor is solved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an image splicing method, system and electronic equipment. Background technique [0002] At present, there are a large number of pipeline facilities in industrial and agricultural production. The welding quality of pipelines is an important indicator of pipeline safety, and the defect detection of pipeline welding areas is the key to ensuring pipeline quality. With the advancement of technology, the use of computer vision to detect welding surfaces has become a mainstream detection technology. During the detection process, the camera is used to collect images of the welding area, and then the image matching algorithm is used for detection. Due to the long welding area of ​​the pipeline, the imaging angle of the camera is limited. It is necessary to take pictures along the welding area of ​​the pipeline, and then stitch and fuse the obtained images to provide to the ins...

Claims

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Application Information

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IPC IPC(8): G06T3/40
Inventor 刘海生彭明君王中任刘德政张俊吴艳花
Owner HUBEI UNIV OF ARTS & SCI
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