CN105427321A - Method for detecting existence of soft bag on tray - Google Patents
Method for detecting existence of soft bag on tray Download PDFInfo
- Publication number
- CN105427321A CN105427321A CN201510870507.7A CN201510870507A CN105427321A CN 105427321 A CN105427321 A CN 105427321A CN 201510870507 A CN201510870507 A CN 201510870507A CN 105427321 A CN105427321 A CN 105427321A
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- soft bag
- region
- color
- tray
- image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0008—Industrial image inspection checking presence/absence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
Abstract
The invention relates to a method for detecting whether a soft bag exists on a tray or not. The method comprises: acquiring an image of the tray from which the soft bag has been discharged; converting the acquired tray image from an RGB color space to an HIS color space; according to the color of an identifier pasted on the soft bag, determining an interested color range; creating a color table three-dimensional array which represents [H] [S] [I], storing the interested color range by using the color table array, and obtaining a final color table; dividing the tray image into a plurality of regions, and for each region, debugging parameters of the region by utilizing the color table to obtain a binary image; eliminating noisy points in the binary image through open operation, extracting communicated regions, and obtaining an area of each communicated region; and comparing the area of each communicated region with a judgment threshold, and if the area of the communicated region, greater than the judgment threshold, exists, indicating that the soft bag is left on the tray. According to the method, whether the soft bag is left on the tray or not can be detected on line.
Description
Technical field
The invention belongs to Digital Image Processing, relate to a kind of method detecting soft bag and whether exist.
Background technology
In the process of producing, due to needs high temperature sterilization, then through the series of steps such as drenching with rain, the pallet filling soft bag is there will be the problem that soft bag leaves over discharging, and owing to being the production of medicine, management and control is very strict.At present in order to get rid of this problem, adopt manual detection.But there is the reasons such as tired and subjective factors interference in manual detection, manual detection exists certain problem.
Summary of the invention
The object of this invention is to provide and a kind ofly can be implemented in the soft bag that line detects on pallet fast and whether there is the method left over.Technical scheme of the present invention is as follows:
Detect the method whether pallet having soft bag, comprise the following steps:
(1) the pallet image of having discharged soft bag is gathered;
(2) transforming the pallet image obtained, is HIS color space by the pallet image collected by RGB color space conversion;
(3) according to the color of the mark that soft bag pastes, determine between interested chromatic zones;
(4) create color table three-dimensional array, three-dimensional array represents respectively [H] [S] [I], with between the interested chromatic zones of this color table storage of array, obtain final color table;
(5) pallet image is divided into multiple region, for each region, the color table utilizing (4) to obtain, debugs the parameter in this region respectively, obtains binary map;
(6) carry out the noise removed by opening operation in binary map, and carry out the extraction of connected region, obtain the area of each connected region;
(7) comparing by each connected region area and decision threshold, if there is the connected region area being greater than decision threshold, then pallet exists soft bag and leave over.
The method step is simple, can better and detect the soft bag leftover problem of pallet fast.
Accompanying drawing explanation
The former figure of Fig. 1
The bianry image that Fig. 2 obtains
Fig. 3 contains little noise
Fig. 4 removes the figure after noise
Embodiment
Below in conjunction with drawings and Examples, the present invention will be described.
(1) color images
Because the Color perception of color space HIS and human eye matches, it is particularly useful in occasions that some illuminations are uneven, and because tone and highlighted, shade have nothing to do, the object of tone to differentiation different colours is very effective.
First, being transformed by the image as Fig. 1 obtained, is HIS color space by the image collected by RGB color space conversion: adopt geometry derivation, according to formula is:
Secondly, create color table array ColorTable [361] [101] [256], three-dimensional array represents respectively [H] [S] [I], with between our interested chromatic zones of this color table storage of array (blueness above soft bag), obtains final color table;
Finally, searching loop whole image, if pixel (X, Y) drops in color table, otherwise then this place's pixel value is set to 1 and is set to 0; Obtain a bianry image, as Fig. 2;
Remarks: because pallet dimension is 1700mm*1700mm, adopt on-the-spot natural light during detection, so in order to ensure the stability detected, we have divided six regions on image, to the independent regulating parameter in each zonule.
(2) connected region is extracted and counting
Adopt 4 to face territory region growing approach to bianry image and extract each connected region.Be implemented as follows:
Searching loop bianry image, when image (x, y) place pixel is 1, region growing is carried out as seed by this point, and statistical pixel number, after this feed search completes, its value is set to 0, continue search by new seed, until not regrowth, determine connected region 1.
Searching loop bianry image, searching for another place's pixel value is that the point of 1 is as seed determination connected region 2.
Circulate successively ... .., stopping stop condition is: then can grow without point;
Acquire each connected region, demonstrate the area of each connected region final.
(3) with or without judgement
According to Fig. 4, if there is the area of any one connected region to be greater than the decision threshold of setting, then there is soft bag above pallet and leave over.
Claims (1)
1. detect the method whether pallet having soft bag, comprise the following steps:
(1) the pallet image of having discharged soft bag is gathered;
(2) transforming the pallet image obtained, is HIS color space by the pallet image collected by RGB color space conversion;
(3) according to the color of the mark that soft bag pastes, determine between interested chromatic zones;
(4) create color table three-dimensional array, three-dimensional array represents respectively [H] [S] [I], with between the interested chromatic zones of this color table storage of array, obtain final color table;
(5) pallet image is divided into multiple region, for each region, the color table utilizing (4) to obtain, debugs the parameter in this region respectively, obtains binary map;
(6) carry out the noise removed by opening operation in binary map, and carry out the extraction of connected region, obtain the area of each connected region;
(7) comparing by each connected region area and decision threshold, if there is the connected region area being greater than decision threshold, then pallet exists soft bag and leave over.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN201510870507.7A CN105427321B (en) | 2015-12-01 | 2015-12-01 | Whether the method for soft bag is had on a kind of detection pallet |
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CN201510870507.7A CN105427321B (en) | 2015-12-01 | 2015-12-01 | Whether the method for soft bag is had on a kind of detection pallet |
Publications (2)
Publication Number | Publication Date |
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CN105427321A true CN105427321A (en) | 2016-03-23 |
CN105427321B CN105427321B (en) | 2018-06-26 |
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CN201510870507.7A Active CN105427321B (en) | 2015-12-01 | 2015-12-01 | Whether the method for soft bag is had on a kind of detection pallet |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106600620A (en) * | 2016-12-28 | 2017-04-26 | 天津普达软件技术有限公司 | Alarm method of unsuccessful landing of infusion bag in pallet on production line on conveyor belt |
CN106845466A (en) * | 2016-12-12 | 2017-06-13 | 深圳市燕麦科技股份有限公司 | A kind of product identification method and its system based on image |
CN113033545A (en) * | 2019-12-24 | 2021-06-25 | 同方威视技术股份有限公司 | Empty tray identification method and device |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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US7970200B2 (en) * | 2005-01-26 | 2011-06-28 | Semiconductor Energy Laboratory Co., Ltd. | Pattern inspection method and apparatus |
CN103226814A (en) * | 2013-04-02 | 2013-07-31 | 湖南大学 | Medicine bottle foreign matter detection method based on medical visual detection robot image correction |
CN104598877A (en) * | 2014-12-30 | 2015-05-06 | 楚天科技股份有限公司 | Visual inspection method and system of characters on bag making line and bag making line |
-
2015
- 2015-12-01 CN CN201510870507.7A patent/CN105427321B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7970200B2 (en) * | 2005-01-26 | 2011-06-28 | Semiconductor Energy Laboratory Co., Ltd. | Pattern inspection method and apparatus |
CN103226814A (en) * | 2013-04-02 | 2013-07-31 | 湖南大学 | Medicine bottle foreign matter detection method based on medical visual detection robot image correction |
CN104598877A (en) * | 2014-12-30 | 2015-05-06 | 楚天科技股份有限公司 | Visual inspection method and system of characters on bag making line and bag making line |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106845466A (en) * | 2016-12-12 | 2017-06-13 | 深圳市燕麦科技股份有限公司 | A kind of product identification method and its system based on image |
CN106600620A (en) * | 2016-12-28 | 2017-04-26 | 天津普达软件技术有限公司 | Alarm method of unsuccessful landing of infusion bag in pallet on production line on conveyor belt |
CN113033545A (en) * | 2019-12-24 | 2021-06-25 | 同方威视技术股份有限公司 | Empty tray identification method and device |
WO2021128966A1 (en) * | 2019-12-24 | 2021-07-01 | 同方威视技术股份有限公司 | Empty tray identification and apparatus therefor |
CN113033545B (en) * | 2019-12-24 | 2023-11-03 | 同方威视技术股份有限公司 | Empty tray identification method and device |
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CN105427321B (en) | 2018-06-26 |
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