CN204116238U - A kind of ceramic tile texture on-line checkingi sorter - Google Patents

A kind of ceramic tile texture on-line checkingi sorter Download PDF

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Publication number
CN204116238U
CN204116238U CN201420338138.8U CN201420338138U CN204116238U CN 204116238 U CN204116238 U CN 204116238U CN 201420338138 U CN201420338138 U CN 201420338138U CN 204116238 U CN204116238 U CN 204116238U
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China
Prior art keywords
ceramic tile
video camera
texture
illuminator
line checkingi
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Expired - Fee Related
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CN201420338138.8U
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Chinese (zh)
Inventor
罗三定
田光亚
宦瑞坤
何畅
涂宙霖
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Central South University
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Central South University
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Abstract

The utility model relates to a kind of ceramic tile texture on-line checkingi sorter.Primarily of sampling system, illuminator, backup system, detection module composition.Sampling system comprises video camera (1), filter box (3).Illuminator comprises planar light source (4), assist illuminator (6).Backup system comprises photoelectric sensor (12), camera bellows (5).Detection module comprises image processing module, classifier modules.Because flat-plate light source is reflected into camera by reflected light path (8) by the texture of high reflectance, and the reflection ray of antiradar reflectivity background is suppressed by filter box (3), overcome pair close from background color but the impalpable defect of reflectivity is different textures of existing ceramic tile apparatus for automatically sorting.The utility model is classified to ceramic tile by the mode of machine vision, testing process be contactless, detect fast, improve the accuracy rate of tile typology, improve the automatization level of current tile typology.

Description

A kind of ceramic tile texture on-line checkingi sorter
Technical field
The utility model relates to a kind of for identifying figure, particularly the image capture of ceramic tile glaze paint texture and treating apparatus.
Background technology
Along with the lifting that market requires tile product quality and production efficiency, the manual sorting's mode adopted far can not meet modern production needs, in the urgent need to the ceramic tile automatic classification system of development based on machine vision, the problems such as production cost is high to solve, criteria for classification disunity.
Obtaining high-quality sampled images in ceramic tile on-line checkingi categorizing system is the primary step improving classify accuracy, on traditional detection sorter hardware, the main video camera that adopts takes tile image vertically downward, strengthen algorithm by software by texture again to process original image, this method to part ceramic tile kind have to a certain degree texture strengthen effect, but this effect often with strong noise, loss in detail for cost.
Some ceramic tile kinds with the addition of the heavy metal element such as iron oxide red, aluminum phosphate in glaze, make the reflectivity of reflectivity apparently higher than background of texture, show metallic luster, when but the texture color of this veriety ceramic tile is close with background color, the image that existing sample mode obtains is tantamount to the image of pure color without texture ceramic tile, is difficult to texture feature extraction.
Summary of the invention
The purpose of this utility model is to provide a kind of ceramic tile texture online classification device.The utility model make use of the glaze paint texture feature different from background reflectance rate, tile image is divided into mirror-reflection area-of-interest, diffuse reflection area-of-interest two parts, mirror-reflection area-of-interest is for detecting the texture of high reflectance, and diffuse reflection area-of-interest is for detecting the tone of ceramic tile, gray scale and macro-texture information.The beneficial effects of the utility model texture information are divided into macro-texture, high reflectance texture two parts, and in conjunction with tone, gray scale comprehensively as the foundation of sorter decision-making, discrimination and robustness between planting in the kind that improve sorter; In addition the utility model broken away from high reflectance texture and background color difference close to time be difficult to the problem distinguished, make it more have adaptability widely.
Based on a ceramic tile texture on-line checkingi sorter for claim, described device is primarily of sampling system, illuminator, backup system, detection module composition; Described sampling system is positioned at ceramic tile upper vertical to be detected and takes tile image downwards; Described illuminator is positioned at the side of sampling system, throws light on towards ceramic tile to be detected; Described backup system is used for all other device of shade, and provides trigger pip for described sampling system; The tile image that described detection module photographs for the treatment of described sampling system.
Described sampling system is used for forming primarily of video camera and filter box: video camera is installed in video camera dust cover, takes the image of ceramic tile to be detected vertically downward through filter box.Described filter box is placed side by side on orifice plate primarily of dim light filter, high printing opacity filter, and orifice plate and video camera distance should be video camera field depth near-end critical value.
Described illuminator is used for forming primarily of planar light source and assist illuminator: planar light source is installed on the side of video camera dust cover, horizontal by certain inclination angle towards ceramic tile to be sorted, can be advisable by reflector plate type light source with half region in shot by camera image in this inclination angle; Assist illuminator is installed on the sidewall of the camera bellows of the opposite side for video camera dust cover.
Described backup system is primarily of photoelectric sensor, camera bellows composition: photoelectric sensor is installed on conveyer belt bottom, gathers image for triggering sampling system; Whole device is by camera bellows shade, and camera bellows and conveyer belt distance are three times in maximum tile thickness.
Described detection module is primarily of image processing module, classifier modules composition: the effect of image processing module is extracted area-of-interest and carries out feature extraction and process to area-of-interest; The effect of classifier modules is that textural characteristics, the colour difference information obtained according to image processing module learns ceramic tile to be sorted, analyze and classify.
Accompanying drawing explanation
Fig. 1 is a kind of ceramic tile texture on-line checkingi sorter one-piece construction schematic diagram.
Fig. 2 is the main schematic diagram of a kind of ceramic tile texture on-line checkingi sorter embodiment.
In Fig. 2: 1-video camera, 2-video camera dust cover, 3-filter box, 4-planar light source, 5-camera bellows, 6-assist illuminator, 7-camera field of view circle, the light path that 8-planar light source reflects through ceramic tile, 9-ceramic tile to be sorted, 10-belt, 11-conveyer rod, 12-photoelectric sensor.
Fig. 3 is a kind of ceramic tile texture on-line checkingi sorter filter box schematic diagram.
In Fig. 3: 1-video camera, the perforate of 13-filter cartridge apertures plate, 14-high transmission rate filter, 15-dim light filter, 16-filter cartridge apertures plate, 17-filter limited post, the mounting hole that 18-filter box is connected with video camera dust cover.
Fig. 4 is a kind of ceramic tile texture on-line checkingi sorter video camera and video camera dust cover, planar light source, ceramic tile relative position relation schematic diagram to be sorted.
In Fig. 4: 1-video camera, 2-video camera dust cover, 4-planar light source, the distance h of 19-video camera and filter box 1, 3-filter box, 20-camera optical axis to the distance of the planar light source centre of form, 21-planar light source and horizontal plane angle the distance h of 22-filter box and ceramic tile to be sorted 2, the vertical range of the 23-planar light source centre of form and ceramic tile to be detected, 9-ceramic tile to be sorted, the ceramic tile glaze paint region that 24-is corresponding with image mirror-reflection area-of-interest.
Embodiment
Further describe the utility model below in conjunction with drawings and Examples, specific embodiment described herein, only in order to explain the utility model, does not limit protection domain of the present utility model.Protection domain of the present utility model is only defined by the claims; utilize the technical solution of the utility model; or those skilled in the art is under the inspiration of technical solutions of the utility model; design similar technical scheme; and reach technique effect described in the utility model, all fall into protection domain of the present utility model.
The present embodiment one-piece construction schematic diagram as shown in Figure 1, forms primarily of sampling system, illuminator, backup system, detection module.Sampling system, for obtaining tile image, mainly contains video camera and filter box forms: video camera is for taking image; Filter box is used for the exposure intensity of mirror-reflection area-of-interest and diffuse reflection area-of-interest in aligned sample image.Illuminator is used for providing illumination for ceramic tile to be detected, forms primarily of planar light source and assist illuminator: planar light source is used for providing lighting source for mirror-reflection area-of-interest; Assist illuminator is used for providing lighting source for ceramic tile mirror-reflection area-of-interest to be detected.Backup system is primarily of photoelectric sensor, camera bellows composition: photoelectric sensor gathers image for triggering sampling system; Camera bellows is used for catch ring environmental light.Detection module is primarily of image processing module, classifier modules composition: image processing module is for extracting area-of-interest and analyzing area-of-interest; The textural characteristics that classifier modules is used for obtaining according to image processing module, colour difference information learn ceramic tile to be sorted and classify.
Fig. 2 is the main schematic diagram of a kind of ceramic tile texture on-line checkingi sorter embodiment.The rod 11 of belt conveyor rotates clockwise, and drives belt 10 to rotate clockwise, transports ceramic tile 9 to be sorted and move right.When photoelectric sensor 12 is triggered by ceramic tile 9 to be sorted, video camera 1 receives trigger pip shooting tile image simultaneously.Video camera 1 is placed in video camera dust cover 2, and the filter box 3 through below is taken vertically downward.The present embodiment planar light source 4 is LED flat plate illuminating lamp, and assist illuminator 6 is LED lamp tube, and the two all has without stroboscopic, the feature of brightness uniformity.The light reflection that flat-plate light source 4 is launched is entered video camera by reflected light path 8 by the texture of high reflectance, and the reflection ray of antiradar reflectivity background is suppressed by filter box (3).Device outermost is camera bellows 5, and its inwall pastes light absorbent.
Fig. 3 is a kind of main schematic diagram of filter box of ceramic tile texture on-line checkingi sorter embodiment.High printing opacity filter 14 is parallel with dim light filter 15 to be installed on filter cartridge apertures plate 16, is fixed by limited post 17.The diameter of filter cartridge apertures plate perforate 13 is corresponding with the maximum field of view angle of video camera 1.The mounting hole 18 that filter box is connected with video camera dust cover is positioned at filter cartridge apertures plate 16 surrounding, for fixing filter box.
Fig. 4 is a kind of video camera and video camera dust cover, planar light source, ceramic tile relative position relation schematic diagram to be sorted of ceramic tile texture on-line checkingi sorter embodiment.Video camera 1 is installed in video camera dust cover 2, and take ceramic tile 9 to be sorted and the ceramic tile glaze paint region 24 corresponding with image mirror-reflection area-of-interest vertically downward, the distance 19 of video camera and filter box is h 1, filter box and ceramic tile to be sorted distance 22 are h 2.Planar light source 4 is positioned at the side of video camera dust cover, with horizontal plane angle 21 is planar light source centre of form distance camera optical axis distance 20 is s, and the planar light source centre of form and detected ceramic tile distance 23 are h 3.Above-mentioned position constraint relation meets expression formula:

Claims (6)

1. a ceramic tile texture on-line checkingi sorter, is characterized in that primarily of sampling system, illuminator, backup system, detection module composition;
Described sampling system is positioned at ceramic tile upper vertical to be detected and takes tile image downwards;
Described illuminator is positioned at the side of sampling system, throws light on towards ceramic tile to be detected;
Described backup system is used for all other device of shade, and provides trigger pip for described sampling system;
The tile image that described detection module photographs for the treatment of described sampling system.
2. a kind of ceramic tile texture on-line checkingi sorter according to claim 1, is characterized in that described sampling system forms primarily of video camera (1) and filter box (3); Video camera is installed in video camera dust cover (2), takes the image of ceramic tile to be detected (9) vertically downward through filter box (3).
3. a kind of ceramic tile texture on-line checkingi sorter according to claim 1, it is characterized in that described illuminator forms primarily of planar light source (4) and assist illuminator (6): planar light source (4) is installed on the side of video camera dust cover (2), and horizontal by certain inclination angle towards ceramic tile to be sorted (9), can be advisable by reflector plate type light source (4) with half region in the captured image of video camera (1) in this inclination angle; Assist illuminator (6) is installed on the sidewall of camera bellows (5) of the opposite side of video camera dust cover (2).
4. a kind of ceramic tile texture on-line checkingi sorter according to claim 1, it is characterized in that described backup system is primarily of photoelectric sensor (12), camera bellows (5) composition: photoelectric sensor (12) is installed on conveyer belt (10) bottom, gathers image for toggling camera (1); Whole device is by camera bellows (5) shade, and camera bellows and conveyer belt (10) distance are three times in maximum tile thickness.
5. a kind of ceramic tile texture on-line checkingi sorter according to claim 1, is characterized in that described detection module is primarily of image processing module, classifier modules composition: image processing module is for extracting area-of-interest and carrying out feature extraction and process to area-of-interest; The effect of classifier modules is that textural characteristics, the colour difference information obtained according to image processing module learns ceramic tile to be sorted, analyze and classify.
6. a kind of ceramic tile texture on-line checkingi sorter according to claim 2, it is characterized in that described filter box (3) is placed side by side on orifice plate primarily of dim light filter, high printing opacity filter, orifice plate and video camera distance should be video camera field depth near-end critical value.
CN201420338138.8U 2014-06-24 2014-06-24 A kind of ceramic tile texture on-line checkingi sorter Expired - Fee Related CN204116238U (en)

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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105021618A (en) * 2015-07-22 2015-11-04 深圳市赛拓工控技术有限公司 Leather texture detection device
CN106323988A (en) * 2016-08-19 2017-01-11 桐乡市嘉乐玻璃马赛克有限公司 Mosaic tile needle hole detecting device
CN107063458A (en) * 2017-02-07 2017-08-18 泉州装备制造研究所 Ceramic tile colourity piecemeal detection method based on machine vision
CN107345919A (en) * 2017-06-29 2017-11-14 佛山华芯微特科技有限公司 A kind of ceramic tile acetes chinensis system
CN107730500A (en) * 2017-11-01 2018-02-23 广东工业大学 A kind of ceramic tile texture detection, system, device and readable storage medium storing program for executing
CN107826350A (en) * 2017-10-20 2018-03-23 国网山东省电力公司桓台县供电公司 Examine leveling device and the gentle sorting technique of inspection
CN109425577A (en) * 2017-08-25 2019-03-05 南京麒麟科学仪器集团有限公司 A kind of FABRIC SHADING analysis instrument and method
CN109614994A (en) * 2018-11-27 2019-04-12 佛山市奥策科技有限公司 A kind of tile typology recognition methods and device
CN109829496A (en) * 2019-01-30 2019-05-31 广州市载道信息科技有限公司 A kind of physical measurement classification method and equipment
CN109856051A (en) * 2019-01-30 2019-06-07 广州市载道信息科技有限公司 A kind of image color acquisition device
CN110879050A (en) * 2019-10-19 2020-03-13 灞卞嘲 Big data analysis system of rule degree
CN116175659A (en) * 2023-02-23 2023-05-30 浙江国立包装有限公司 Processing equipment for forming plate by replacing wood with paper and production method thereof

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105021618A (en) * 2015-07-22 2015-11-04 深圳市赛拓工控技术有限公司 Leather texture detection device
CN106323988A (en) * 2016-08-19 2017-01-11 桐乡市嘉乐玻璃马赛克有限公司 Mosaic tile needle hole detecting device
CN106323988B (en) * 2016-08-19 2018-10-23 泉州台商投资区五季网络有限公司 A kind of mosaic tiles Pinhole detecting device
CN107063458A (en) * 2017-02-07 2017-08-18 泉州装备制造研究所 Ceramic tile colourity piecemeal detection method based on machine vision
CN107063458B (en) * 2017-02-07 2018-10-26 泉州装备制造研究所 Ceramic tile coloration piecemeal detection method based on machine vision
CN107345919A (en) * 2017-06-29 2017-11-14 佛山华芯微特科技有限公司 A kind of ceramic tile acetes chinensis system
CN109425577A (en) * 2017-08-25 2019-03-05 南京麒麟科学仪器集团有限公司 A kind of FABRIC SHADING analysis instrument and method
CN107826350A (en) * 2017-10-20 2018-03-23 国网山东省电力公司桓台县供电公司 Examine leveling device and the gentle sorting technique of inspection
CN107730500A (en) * 2017-11-01 2018-02-23 广东工业大学 A kind of ceramic tile texture detection, system, device and readable storage medium storing program for executing
CN109614994A (en) * 2018-11-27 2019-04-12 佛山市奥策科技有限公司 A kind of tile typology recognition methods and device
CN109829496A (en) * 2019-01-30 2019-05-31 广州市载道信息科技有限公司 A kind of physical measurement classification method and equipment
CN109856051A (en) * 2019-01-30 2019-06-07 广州市载道信息科技有限公司 A kind of image color acquisition device
CN109829496B (en) * 2019-01-30 2021-05-25 广州市载道信息科技有限公司 Physical measurement classification method and equipment
CN110879050A (en) * 2019-10-19 2020-03-13 灞卞嘲 Big data analysis system of rule degree
CN116175659A (en) * 2023-02-23 2023-05-30 浙江国立包装有限公司 Processing equipment for forming plate by replacing wood with paper and production method thereof
CN116175659B (en) * 2023-02-23 2023-09-19 浙江国立包装有限公司 Processing equipment for forming plate by replacing wood with paper and production method thereof

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