WO2017012581A1 - 二维码加权平均灰度法解码方法及*** - Google Patents
二维码加权平均灰度法解码方法及*** Download PDFInfo
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- WO2017012581A1 WO2017012581A1 PCT/CN2016/090990 CN2016090990W WO2017012581A1 WO 2017012581 A1 WO2017012581 A1 WO 2017012581A1 CN 2016090990 W CN2016090990 W CN 2016090990W WO 2017012581 A1 WO2017012581 A1 WO 2017012581A1
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- WIPO (PCT)
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- decoding
- bit region
- average grey
- weighted average
- image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
- G06K7/1417—2D bar codes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/187—Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling
Definitions
- the invention relates to the technical field of two-dimensional codes, in particular to a method and a system for decoding a two-dimensional code weighted average gray scale method.
- the two-dimensional code decoding algorithm based on image processing can be roughly divided into six steps: acquiring images, image preprocessing, positioning and correction, reading data, error correction, and decoding.
- the basic steps of image preprocessing are gradation transformation, image filtering, threshold segmentation, edge detection, and binarization is included in the threshold segmentation.
- an enhancement algorithm such as contrast adaptation and brightness adjustment
- the binarization algorithm is used to realize the segmentation of the background and the object in the image, and the image is converted into an image with only two colors of black and white for decoding.
- the two-dimensional code images captured by the two-dimensional code reading device vary widely, the influence of noise, and the image illumination. Unevenness, too large contrast and too small will make the conversion of the two-dimensional code image into a binarized image.
- the effect of the binarization process of the image is directly related to the reading effect of the two-dimensional code.
- the binarization method in the prior art has some shortcomings in dealing with complex backgrounds, and cannot deal with problems such as darkness, uneven illumination, too large or too small contrast, and thus cannot obtain a good binarization effect.
- the Chinese invention patent publication CN104517089A discloses a two-dimensional code decoding system and a method thereof, the decoding method is: performing binarization processing on a two-dimensional code image to obtain a binarized image, the binarization processing including : cutting the two-dimensional code image to obtain a plurality of block regions; obtaining gray values of all the pixels of each block region, and obtaining gray values of each block region according to gray values of all the pixel points Determining a gray threshold of the block area according to an average gray value of a predetermined range in which each block area is located; and performing pixel points in the block area according to a gray threshold corresponding to each block area
- Binarization processing obtains a binarized image; decoding the binarized image to obtain information content included in the two-dimensional code.
- the code image is binarized, by performing a block operation on the code image, whether the pixel point in each of the block regions is determined to be black or determined in the process of restoring the code image is
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- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Toxicology (AREA)
- Electromagnetism (AREA)
- Health & Medical Sciences (AREA)
- Facsimile Image Signal Circuits (AREA)
- Compression Of Band Width Or Redundancy In Fax (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
Abstract
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Application Number | Priority Date | Filing Date | Title |
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BR112018001244-0A BR112018001244B1 (pt) | 2015-07-23 | 2016-07-22 | Método e sistema para decodificação de código bidimensional usando a média ponderada da escala de cinza |
EP16827272.2A EP3309703B1 (en) | 2015-07-23 | 2016-07-22 | Method and system for decoding qr code based on weighted average grey method |
US15/871,161 US10108835B2 (en) | 2015-07-23 | 2018-01-15 | Method and system for decoding two-dimensional code using weighted average gray-scale algorithm |
Applications Claiming Priority (2)
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CN201510437265.2A CN105069394B (zh) | 2015-07-23 | 2015-07-23 | 二维码加权平均灰度法解码方法及*** |
CN201510437265.2 | 2015-07-23 |
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US15/871,161 Continuation US10108835B2 (en) | 2015-07-23 | 2018-01-15 | Method and system for decoding two-dimensional code using weighted average gray-scale algorithm |
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WO2017012581A1 true WO2017012581A1 (zh) | 2017-01-26 |
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PCT/CN2016/090990 WO2017012581A1 (zh) | 2015-07-23 | 2016-07-22 | 二维码加权平均灰度法解码方法及*** |
Country Status (4)
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US (1) | US10108835B2 (zh) |
EP (1) | EP3309703B1 (zh) |
CN (1) | CN105069394B (zh) |
WO (1) | WO2017012581A1 (zh) |
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CN114143474A (zh) * | 2021-12-06 | 2022-03-04 | 广州尚臣电子有限公司 | 一种基于图像平均灰度的物感处理方法 |
CN116824467A (zh) * | 2023-08-30 | 2023-09-29 | 江西省水利科学院(江西省大坝安全管理中心、江西省水资源管理中心) | 一种排水管道流量智能测量方法 |
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US11126808B1 (en) | 2019-05-30 | 2021-09-21 | Owens-Brockway Glass Container Inc. | Methods for dot code image processing on a glass container |
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- 2016-07-22 WO PCT/CN2016/090990 patent/WO2017012581A1/zh active Application Filing
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Also Published As
Publication number | Publication date |
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US10108835B2 (en) | 2018-10-23 |
EP3309703A1 (en) | 2018-04-18 |
EP3309703B1 (en) | 2020-11-04 |
CN105069394A (zh) | 2015-11-18 |
EP3309703A4 (en) | 2018-10-10 |
US20180137321A1 (en) | 2018-05-17 |
CN105069394B (zh) | 2017-10-10 |
BR112018001244A2 (pt) | 2018-09-18 |
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