CN102519972A - Detection method of PET bottle cap and liquid level - Google Patents
Detection method of PET bottle cap and liquid level Download PDFInfo
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- CN102519972A CN102519972A CN2011104130744A CN201110413074A CN102519972A CN 102519972 A CN102519972 A CN 102519972A CN 2011104130744 A CN2011104130744 A CN 2011104130744A CN 201110413074 A CN201110413074 A CN 201110413074A CN 102519972 A CN102519972 A CN 102519972A
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Abstract
The invention discloses a detection method of a PET bottle cap and a liquid level. The method comprises steps of: segmenting an interested zone of an image and carrying out pretreatment on the image; carrying out segmentation on a PET bottle body and a background zone; carrying out PET bottle symmetry axis positioning on the image after the pretreatment; and carrying out detection according to the position of the symmetry axis and a line, which a PET bottle adapter ring is on, and coordinates of an adapter ring central point. The method of the invention can carry out real-time ongoing detection on PET bottle cap and liquid level defect on a high speed automatic production pipeline and realize high detection efficiency.
Description
Technical field
The invention belongs to industrial automation detection technique field, especially relate to the method for a kind of PET of detection bottle cap and liquid level, can on high-speed automated production line, carry out uninterrupted in real time the detection the defective of PET bottle cap and liquid level.
Background technology
In the production run of present beer, beverage and medicine, all require container filling to satisfy corresponding quality standard, all to carry out strict test in the front and back of production can.Such as, to detect bottle cap and whether liquid level exists defective for the PET bottle, if bottle cap does not seal, may introduce foreign matter and cause food unhealthy; If bottle cap is jagged or the crack, may cause the eater injured; If liquid level is too high, may cause the blast of PET bottle under transportation or the solar radiation; If liquid level is low excessively, may cause the disappearance of enterprise's overall image.
At present, the method and apparatus that detects for the PET bottle mainly is divided into three types: the detection of manual detection, sensor and computer vision.Manual detection is the method that Traditional industrial detects, and mainly detects each PET bottle by detection person through visual inspection and whether has defective, and the problem of existence has: verification and measurement ratio is low, and speed is slow, and data statistics gathers difficulty and cost is high.Sensor is to utilize various sensors to detect, and whether qualified such as utilizing the X-ray line sensor to detect liquid level, the problem of existence has: receive the influence of external environment easily, system's versatility is poor.Now the detection method of main flow is to utilize machine to replace human eye, and promptly computer vision is accomplished the detection of PET bottle, and this detection method speed is fast, and it is strong that data statistics gathers ability, and robustness is good.External Computer Vision Detection starting morning, the Hai Fu of Germany, the research and development that the Leiderkranz has carried out oneself, but because external PET bottle uniform specification; Detect comparatively simple; And domestic PET bottle is of a great variety, and the versatility that therefore can not accomplish the PET bottle detects, and expansibility is poor.Sun Huaiyuan has proposed a kind of detection algorithm of images match in " computer utility and software ", compare through characteristic and the template image that extracts the PET bottle, thereby accomplish classification and detect; Zou Zhenxing has realized the device of the embedded detection PET quality of FPGA in " modern electronic technology ", detect the PET bottle cap through the difference of analyzing adaptation and bottle cap top slope.But their algorithm complex is high, can't satisfy the needs that detect the PET bottle on the Modern High-Speed production line, and verification and measurement ratio is not enough, can not overcome the influence of body inclination, the shake of chain road, the body globule and burr.
Summary of the invention
The object of the invention: the problem of avoiding prior art to exist, the PET bottle cap that provide a kind of and can on high-speed automated production line, carry out uninterruptedly in real time detecting, verification and measurement ratio is high and the detection method of liquid level.
Technical scheme of the present invention is: may further comprise the steps:
(1) the PET bottle image input computing machine to taking carries out cutting apart of area-of-interest to image;
(2) area-of-interest is carried out the image pre-service, accomplish cutting apart of PET bottle bottle zone and background area; The pretreated method of image is following: the first, entire image is carried out ashing treatment, and only keep the monochrome information of image; The second, the single channel image after the ashing is carried out filtering, make the image border become clear; The 3rd, confirm the threshold value of image binaryzation according to the grey level histogram of entire image, and it is carried out binary conversion treatment; The 4th, the image after the binaryzation is carried out the connected domain analysis, to establish the zone that the upper left corner belongs to background area and this regional connectivity and all belong to background, all the other zones all are PET bottle bottle part, accomplish cutting apart of PET bottle bottle zone and background area;
(3) pretreated image is carried out PET bottle axis of symmetry location; This method is: at first, image is carried out rim detection, obtain the point set of PET bottle image outline; Secondly, seek m leftmost point and m rightmost point, ask for average point about corresponding m; Once more, estimate the position of axis of symmetry according to the fitting a straight line algorithm;
(4) according to the position of axis of symmetry, location PET bottle adaptation belongs to the coordinate of straight line and adaptation central point; Method is following: at first, correct the deviation angle of axis of symmetry, to the number of the every capable black picture element of image statistics after correcting; Secondly, the matrix to pixels statistics carries out smothing filtering; Once more, confirm that peaked position is the position of adaptation place straight line; At last, seek the coordinate of first black picture element from two side direction centers, the mean value of first black picture element position, the left and right sides is the adaptation central point;
(5) defective of detection PET bottle cap: at first, on PET bottle cap image, place the rectangle frame of i different sizes according to the coordinate of adaptation central point; Secondly, add up the number percent that black picture element in each rectangle frame accounts for whole pixels, it is qualified in the normality threshold interval, then to declare this rectangle frame; At last, when all rectangle frames were qualified, the PET bottle cap was qualified, does not have defective;
(6) defective of detection PET bottle liquid level: at first, on the internal image of PET bottle bottle chamber, place the rectangle frame of j different sizes according to the coordinate of adaptation central point; Secondly, add up the number percent that black picture element in each rectangle frame accounts for whole pixels, it is qualified in the normality threshold interval, then to declare this rectangle frame; At last, when all rectangle frames were qualified, PET bottle liquid level was qualified, does not have defective.
Beneficial effect of the present invention: the globule that 1, because the present invention is based on axis of symmetry technology for detection PET bottle cap and liquid level, can prevent that PET bottle body on the mechanical chain road from tilting, adheres on the PET bottle and burr are for the influence that detects; 2, obtain the position of the unique definite judgement rectangle frame of center point coordinate according to the location adaptation, can prevent that flating that the PET bottle steadily do not cause is for the influence that detects in the mechanical chain road; 3, adopted the mode of a plurality of judgement rectangle frame cascade, each judges rectangle frame all as a Weak Classifier, and the strong classifier detection efficiency that framework like this obtains is high, realizes simple; 4, the present invention can carry out uninterrupted in real time the detection to the defective of PET bottle cap and liquid level on high-speed automated production line, and detection efficiency is high, and speed is fast and realize that easily versatility is wide, is convenient to be transplanted in other environment and the platform.
Description of drawings
Fig. 1 is a process chart of the present invention.
Embodiment
In conjunction with process chart of the present invention shown in Figure 1, the present invention is further described, the present invention includes following steps:
Step (one): the PET bottle image input computing machine to taking, carry out cutting apart of area-of-interest to image.
Step (two): area-of-interest is carried out the image pre-service, accomplish cutting apart of PET bottle bottle zone and background area.The pretreated method of image is following: at first, entire image is carried out ashing treatment, only keep the monochrome information of image; Secondly, the single channel image after the ashing is carried out filtering, make the image border become clear; Once more, confirm the threshold value of image binaryzation, and it is carried out binary conversion treatment according to the grey level histogram of entire image; At last, the image after the binaryzation is carried out the connected domain analysis, establish the upper left corner and belong to the background area, the zone with this regional connectivity all belongs to background so, and all the other zones all are PET bottle bottle part, thereby has accomplished cutting apart of PET bottle bottle zone and background area.
Step (three): pretreated image is carried out PET bottle axis of symmetry location.Method is following: at first, image is carried out rim detection, obtain the point set of PET bottle image outline; Secondly, seek m leftmost point and m rightmost point, ask for average point about corresponding m; Once more, estimate the position of axis of symmetry according to the fitting a straight line algorithm.
Step (four): according to the position of axis of symmetry, the coordinate of location PET bottle adaptation place straight line and adaptation central point.Method is following: at first, the deviation angle of axis of symmetry is corrected, to the number of the every capable black picture element of image statistics after correcting; Secondly, the matrix of pixels statistics is carried out smothing filtering, prevent the influence of the globule and wild point; Once more, confirm that peaked position is the position of adaptation place straight line; At last, seek the coordinate of first black picture element from two side direction centers, the mean value of first black picture element position, the left and right sides is the adaptation central point.
Step (five): detect PET bottle cap defective, method is following: at first, on PET bottle cap image, place the rectangle frame of i different sizes according to the coordinate of adaptation central point; Secondly, add up the number percent that black picture element in each rectangle frame accounts for whole pixels, it is qualified in the normality threshold interval, then to declare this rectangle frame; At last, when and if only if all rectangle frames were qualified, the PET bottle cap was qualified, does not have defective.
Step (six): detect PET bottle liquid level defective, method is following: at first, on the internal image of PET bottle bottle chamber, place the rectangle frame of j different sizes according to the coordinate of adaptation central point; Secondly, add up the number percent that black picture element in each rectangle frame accounts for whole pixels, it is qualified in the normality threshold interval, then to declare this rectangle frame; At last, when and if only if all rectangle frames were qualified, PET bottle liquid level was qualified, does not have defective.
Claims (1)
1. the detection method of PET bottle cap and liquid level is characterized in that, may further comprise the steps:
(1) the PET bottle image input computing machine to taking carries out cutting apart of area-of-interest to image;
(2) area-of-interest is carried out the image pre-service, accomplish cutting apart of PET bottle bottle zone and background area; The pretreated method of image is following: the first, entire image is carried out ashing treatment, and only keep the monochrome information of image; The second, the single channel image after the ashing is carried out filtering, make the image border become clear; The 3rd, confirm the threshold value of image binaryzation according to the grey level histogram of entire image, and it is carried out binary conversion treatment; The 4th, the image after the binaryzation is carried out the connected domain analysis, to establish the zone that the upper left corner belongs to background area and this regional connectivity and all belong to background, all the other zones all are PET bottle bottle part, accomplish cutting apart of PET bottle bottle zone and background area;
(3) pretreated image is carried out PET bottle axis of symmetry location; This method is: at first, image is carried out rim detection, obtain the point set of PET bottle image outline; Secondly, seek m leftmost point and m rightmost point, ask for average point about corresponding m; Once more, estimate the position of axis of symmetry according to the fitting a straight line algorithm;
(4) according to the position of axis of symmetry, location PET bottle adaptation belongs to the coordinate of straight line and adaptation central point; Method is following: at first, correct the deviation angle of axis of symmetry, to the number of the every capable black picture element of image statistics after correcting; Secondly, the matrix to pixels statistics carries out smothing filtering; Once more, confirm that peaked position is the position of adaptation place straight line; At last, seek the coordinate of first black picture element from two side direction centers, the mean value of first black picture element position, the left and right sides is the adaptation central point;
(5) defective of detection PET bottle cap: at first, on PET bottle cap image, place the rectangle frame of i different sizes according to the coordinate of adaptation central point; Secondly, add up the number percent that black picture element in each rectangle frame accounts for whole pixels, it is qualified in the normality threshold interval, then to declare this rectangle frame; At last, when all rectangle frames were qualified, the PET bottle cap was qualified, does not have defective;
(6) defective of detection PET bottle liquid level: at first, on the internal image of PET bottle bottle chamber, place the rectangle frame of j different sizes according to the coordinate of adaptation central point; Secondly, add up the number percent that black picture element in each rectangle frame accounts for whole pixels, it is qualified in the normality threshold interval, then to declare this rectangle frame; At last, when all rectangle frames were qualified, PET bottle liquid level was qualified, does not have defective.
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Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102854193A (en) * | 2012-08-30 | 2013-01-02 | 苏州天准精密技术有限公司 | Detection method and detection system used for image defect detection |
| CN103258218A (en) * | 2013-05-28 | 2013-08-21 | 清华大学 | Matte detection frame generation method and device and defect detection method and device |
| CN103552712A (en) * | 2013-10-28 | 2014-02-05 | 中达电通股份有限公司 | Drug bottle cap installation in place detection method and device |
| CN104181176A (en) * | 2014-08-14 | 2014-12-03 | 公安部第一研究所 | Method for automatically identifying liquid substance in X-ray package image |
| CN104528617A (en) * | 2014-12-10 | 2015-04-22 | 天津普达软件技术有限公司 | Method for detecting liquid level of bottle body in accordance with filling requirements |
| CN104700423A (en) * | 2015-03-27 | 2015-06-10 | 四川索牌科技股份有限公司 | Method and device for detecting bottle cap |
| CN104764746A (en) * | 2014-01-06 | 2015-07-08 | 山东明佳包装检测科技有限公司 | Method for omnibearing detection of defect of PET bottle cap antitheft ring |
| CN105301003A (en) * | 2015-11-05 | 2016-02-03 | 天津大学 | Method for detecting bottle cap surface production date based on machine vision |
| CN105865570A (en) * | 2016-06-15 | 2016-08-17 | 天津大学 | Machine vision-based glass bottle liquid level detection method |
| CN106370659A (en) * | 2016-08-17 | 2017-02-01 | 湘潭大学 | Visual inspection method for bottle packaging quality |
| CN106546600A (en) * | 2016-10-26 | 2017-03-29 | 湖南大学 | A kind of PET bottle multi-orientation detection method and apparatus based on machine vision |
| CN106651851A (en) * | 2016-12-28 | 2017-05-10 | 天津普达软件技术有限公司 | Unaccepted product rejecting method of packing carton spray printing characters out of bounds |
| CN106651850A (en) * | 2016-12-28 | 2017-05-10 | 天津普达软件技术有限公司 | Method detecting whether packing box printed character position is qualified or not |
| CN106778747A (en) * | 2016-12-28 | 2017-05-31 | 天津普达软件技术有限公司 | A kind of method for detecting packing box spray printing character position offset amount |
| CN108759973A (en) * | 2018-04-28 | 2018-11-06 | 南京昊控软件技术有限公司 | A kind of water level measurement method |
| CN108982544A (en) * | 2018-06-20 | 2018-12-11 | 青岛联合创智科技有限公司 | A kind of printed circuit board flaw component detection method |
| CN109325519A (en) * | 2018-08-20 | 2019-02-12 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | Fault recognition method and device |
| CN110132985A (en) * | 2019-05-30 | 2019-08-16 | 中国科学院长春光学精密机械与物理研究所 | Bottling liquid visible foreign matters detection method and its system based on low sparse decomposition of being lost |
| CN110686873A (en) * | 2018-06-20 | 2020-01-14 | 苏州巨佳电子科技有限公司 | Notebook computer rotating shaft quality detection device and method |
| CN112508852A (en) * | 2020-11-12 | 2021-03-16 | 深圳科瑞技术股份有限公司 | Method and system for detecting liquid level in liquid storage bottle |
| CN113516702A (en) * | 2021-07-16 | 2021-10-19 | 中国科学院自动化研究所 | Method and system for detecting liquid level of automatic liquid preparation ampoule bottle and method for detecting proportion of liquid medicine |
| CN115457067A (en) * | 2022-11-09 | 2022-12-09 | 乐比(广州)健康产业有限公司 | Nose-clearing and refreshing medicine liquid level detection method |
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| CN109325519A (en) * | 2018-08-20 | 2019-02-12 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | Fault recognition method and device |
| CN110132985A (en) * | 2019-05-30 | 2019-08-16 | 中国科学院长春光学精密机械与物理研究所 | Bottling liquid visible foreign matters detection method and its system based on low sparse decomposition of being lost |
| CN112508852A (en) * | 2020-11-12 | 2021-03-16 | 深圳科瑞技术股份有限公司 | Method and system for detecting liquid level in liquid storage bottle |
| CN113516702A (en) * | 2021-07-16 | 2021-10-19 | 中国科学院自动化研究所 | Method and system for detecting liquid level of automatic liquid preparation ampoule bottle and method for detecting proportion of liquid medicine |
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