Warehouse cargo multi-QR code integrated visual positioning method

A technology of visual positioning and QR code, applied in the direction of induction recording carrier, electromagnetic radiation induction, instrument, etc., to achieve good practical value and good detection robustness

Active Publication Date: 2019-07-05
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a multi-QR code integrated visual positioning method for storage goods in view

Method used

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  • Warehouse cargo multi-QR code integrated visual positioning method
  • Warehouse cargo multi-QR code integrated visual positioning method
  • Warehouse cargo multi-QR code integrated visual positioning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] Embodiment one: see Figure 1 to Figure 17 , the multi-QR code integrated visual positioning method for warehoused goods is characterized in that the operation steps are as follows:

[0049] S1: Preprocessing: obtain the entire binary image;

[0050] S2.1: Perform edge detection on the entire binary image to obtain a closed contour (collectively referred to as I);

[0051] S2.2: Establishment of the hierarchical tree structure of the closed contour I: according to their mutual inclusion relationship;

[0052] S2.3: Screening for coarse positioning of position detection graphics: screening is performed according to its special 3-layer contour inclusion relationship and whether the center point is inside the contour;

[0053] S3.1: Morphological processing: perform an opening operation on the entire binary image to form multiple connected domains;

[0054] S3.2: Perform edge detection on the result graph of the opening operation to obtain a closed contour (collectively...

Embodiment 2

[0060] Embodiment 2: This embodiment is basically the same as Embodiment 1, and the special features are as follows:

[0061] The major step S2, that is, S2.1 to S2.3 and the major step S3, that is, S3.1 to S3.4, are processed in parallel, in no particular order.

[0062] The step S3.4 also includes:

[0063] 1) Find out all the contours at the bottom of each branch in the closed contour II hierarchical tree structure;

[0064] 2) Assign different gray values ​​to the interior of these contours to show the distinction, and the assigned gray values ​​start from 0 and increase one by one.

[0065] The step S4 also includes:

[0066] 1) For the coarse positioning of the screened position detection graphics, calculate their respective center point positions;

[0067] 2) For each coarse positioning center point position, get its gray value in the QR code candidate area;

[0068] 3) If the gray value of some central point positions is the same, they are divided into the same gro...

Embodiment 3

[0077] The specific flow chart of this embodiment is as follows figure 1 shown.

[0078] This example will use figure 2 The resolution shown is 1916*894, and the image of the actual scene of the simulated warehouse shelf is taken as an example, and the process of using the technical solution provided by the present invention to detect multiple QR codes on the storage container includes the following steps :

[0079] S1: read the original image collected by the camera or other image acquisition equipment into the program, this embodiment uses figure 2 The original image is shown as an example. Perform Gaussian filtering and grayscale image conversion operations on the original image to obtain the following image 3 The grayscale image shown. Threshold segmentation is performed on the grayscale image, and the segmentation threshold is determined by the method of adaptive threshold segmentation, and the following is obtained: Figure 4 The binary image shown.

[0080] Th...

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Abstract

The invention discloses a warehouse cargo multi-QR code integrated visual positioning method, and relates to the field of image detection, in particular to a multi-QR code integrated visual positioning method. The technical problem that an existing detection method cannot accurately position the QR code because of complex environment where the QR code is located and multi-angle shooting is solved.The method comprises the following steps: filtering an image; converting the QR code into a grey-scale map, binarizing the grey-scale map, roughly locating the position of a position detection graphaccording to closed contour information in the binary image, finely locating the position detection graph according to the characteristic that the areas of three position detection graphs in the sameQR code presented in the image are similar, and finally locating the QR code. According to the method, a plurality of two-dimensional codes in a scene can be accurately positioned from a plurality ofshooting angles in a complex environment, the robustness is relatively high, and the method has very good performance in actual use.

Description

technical field [0001] The invention relates to the field of image detection, and more specifically, to an integrated visual positioning method for multiple QR codes of stored goods. Background technique [0002] Two-dimensional code, also known as two-dimensional barcode, is a very popular coding method on mobile devices in recent years. It uses a specific geometric figure to record data symbol information in black and white graphics distributed on a plane (two-dimensional direction) according to certain rules. There are many types of QR codes, the most common of which is the QR code, whose full name is Quick Response Code (Quick Response Code). Compared with other two-dimensional codes, QR codes have the advantages of large storage capacity and high recognition rate. [0003] At present, QR codes are more and more widely used in the warehousing and logistics industry. Through the integrated visual collection of QR codes, the inventory and information entry of multiple go...

Claims

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Application Information

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IPC IPC(8): G06K7/14
CPCG06K7/1417G06K7/1443
Inventor 杨傲雷曹裕陈灵费敏锐徐昱琳
Owner SHANGHAI UNIV
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