JP2002039958A - Method and apparatus for detecting work flaw - Google Patents

Method and apparatus for detecting work flaw

Info

Publication number
JP2002039958A
JP2002039958A JP2000229806A JP2000229806A JP2002039958A JP 2002039958 A JP2002039958 A JP 2002039958A JP 2000229806 A JP2000229806 A JP 2000229806A JP 2000229806 A JP2000229806 A JP 2000229806A JP 2002039958 A JP2002039958 A JP 2002039958A
Authority
JP
Japan
Prior art keywords
image
flaw
image processing
cleaning
work
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
JP2000229806A
Other languages
Japanese (ja)
Inventor
Takaaki Yamaura
孝彰 山浦
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Showa Corp
Original Assignee
Showa Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Showa Corp filed Critical Showa Corp
Priority to JP2000229806A priority Critical patent/JP2002039958A/en
Publication of JP2002039958A publication Critical patent/JP2002039958A/en
Withdrawn legal-status Critical Current

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  • Cleaning In General (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

PROBLEM TO BE SOLVED: To improve an accuracy for detecting flaws with improving a production efficiency by shortening a cleaning time and simplifying a cleaning facility when flaws of work surfaces are to be detected. SOLUTION: In the method for detecting flaws by processing images of the work surface, when it is distinguished by the image processing that there is a flaw image, the work surface is cleaned and images of the surface are taken again to carry out the image processing again. When a position of the flaw image is moved after the succeeding image processing, the flaw image is regarded as dust and the work surface is determined to have no flaw.

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【発明の属する技術分野】本発明は油圧緩衝器のピスト
ンロッド等のワークの傷検出方法及び装置に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and an apparatus for detecting scratches on a work such as a piston rod of a hydraulic shock absorber.

【0002】[0002]

【従来の技術】油圧緩衝器のピストンロッド等のワーク
にあっては、表面傷がオイルシールを損傷させてオイル
漏れの原因になる等を防止するため、ワークの表面を画
像処理して傷の有無を検出している。
2. Description of the Related Art In the case of a work such as a piston rod of a hydraulic shock absorber, the surface of the work is image-processed in order to prevent a surface flaw from damaging an oil seal and causing oil leakage. The presence or absence has been detected.

【0003】従来技術では、ワークの表面に付着してい
るゴミを傷とみなすことを回避するため、ワークの表面
の汚れを完全に除去する必要があり、多量の洗剤を用い
た予備洗浄、純水を用いた超音波洗浄等の複数回の洗浄
を繰り返している。
In the prior art, it is necessary to completely remove the dirt on the surface of the work in order to avoid the dust adhering to the surface of the work as a scratch. Washing such as ultrasonic washing using water is repeated a plurality of times.

【0004】[0004]

【発明が解決しようとする課題】従来技術では、ゴミ等
の汚れを完全に洗浄して傷検出精度を向上するために
は、洗浄時間が長時間になり、洗浄設備も大型になり、
ワークの傷検出ラインの生産効率が低下してしまう。
In the prior art, in order to completely clean dirt such as dust and improve the detection accuracy of flaws, the cleaning time becomes long and the cleaning equipment becomes large.
The production efficiency of the work scratch detection line is reduced.

【0005】本発明の課題は、ワークの表面の傷を検出
するに際し、洗浄時間を短時間にし、洗浄設備も簡素化
することによって生産効率を向上しながら、傷検出精度
を向上することにある。
SUMMARY OF THE INVENTION An object of the present invention is to improve the detection accuracy of flaws while shortening the cleaning time and simplifying the cleaning equipment when detecting flaws on the surface of a work, thereby improving production efficiency. .

【0006】[0006]

【課題を解決するための手段】請求項1の発明は、ワー
クの表面の画像処理により傷を検出する方法において、
画像処理により傷画像有りを識別した場合、ワークの表
面を清掃し、該表面の画像を再度取込んで、再画像処理
を行ない、前記傷画像の位置が再画像処理後に移動して
いるとき、該傷画像をゴミとみなして傷無しと判断する
ようにしたものである。
According to a first aspect of the present invention, there is provided a method for detecting a flaw by image processing of a surface of a work,
When the presence of a flaw image is identified by the image processing, the surface of the work is cleaned, the image of the surface is captured again, and the re-image processing is performed. The scratch image is regarded as dust, and it is determined that there is no scratch.

【0007】請求項2の発明は、ワークの表面の画像処
理により傷を検出する装置において、ワーク表面の画像
を取込む画像取込手段と、画像取込手段が取込んだ画像
を処理する画像処理手段と、画像処理手段の画像処理結
果より傷画像の有無を識別する識別手段と、ワークの表
面を清掃する清掃手段と、画像処理手段と識別手段と清
掃手段を制御する制御手段とを有し、制御手段は、画像
処理手段による画像処理により傷画像有りを識別した場
合、清掃手段によってワークの表面を清掃し、該表面の
画像を再度取込んで、画像処理手段による再画像処理を
行ない、前記傷画像の位置が再画像処理後に移動してい
るとき、該傷画像をゴミとみなして傷無しと判断するよ
うにしたものである。
According to a second aspect of the present invention, there is provided an apparatus for detecting a flaw by image processing of a surface of a workpiece, wherein the image capturing means captures an image of the surface of the workpiece, and an image which processes the image captured by the image capturing means. Processing means, identification means for identifying the presence or absence of a flaw image from the image processing result of the image processing means, cleaning means for cleaning the surface of the work, and control means for controlling the image processing means, the identification means and the cleaning means. When the control means identifies the presence of the flaw image by the image processing by the image processing means, the cleaning means cleans the surface of the work, takes in the image of the surface again, and performs the re-image processing by the image processing means. When the position of the flaw image is moving after the re-image processing, the flaw image is regarded as dust, and it is determined that there is no flaw.

【0008】請求項3の発明は、請求項2の発明におい
て更に、前記清掃手段がエアブローにより行なうように
したものである。
According to a third aspect of the present invention, in the second aspect of the present invention, the cleaning means is performed by air blow.

【0009】請求項4の発明は、請求項2の発明におい
て更に、前記清掃手段が回転ブラシにより行なうように
したものである。
According to a fourth aspect of the present invention, in addition to the second aspect, the cleaning means is performed by a rotating brush.

【0010】請求項5の発明は、請求項2の発明におい
て更に、前記清掃手段が布テープの擦り付けにより行な
うようにしたものである。
According to a fifth aspect of the present invention, in the second aspect of the present invention, the cleaning means is performed by rubbing a cloth tape.

【0011】[0011]

【作用】請求項1〜5の発明によれば以下の作用があ
る。ワークの表面の傷は清掃の前後で移動することがな
いから、1回目の画像処理と2回目の再画像処理の両方
で同一位置に位置する傷画像は傷と判断するが、再画像
処理により移動することになった傷画像はゴミと判断で
きる。従って、ワークの表面にゴミがあっても、ゴミと
傷とを判別できるから、洗浄は簡易化できる。よって、
傷を高精度で検出しながら、洗浄時間を短時間にし、洗
浄設備も簡素化し、ワークの傷検出ラインの生産効率を
向上できる。
According to the first to fifth aspects of the present invention, the following operations are provided. Since the scratch on the surface of the work does not move before and after cleaning, the scratch image located at the same position in both the first image processing and the second re-image processing is determined to be a scratch. The moved scratch image can be determined to be dust. Therefore, even if there is dust on the surface of the work, the dust can be distinguished from the scratch, so that the cleaning can be simplified. Therefore,
The cleaning time can be reduced while detecting the flaws with high accuracy, the cleaning equipment can be simplified, and the production efficiency of the work flaw detection line can be improved.

【0012】[0012]

【発明の実施の形態】図1は傷検出装置を示す模式図、
図2は傷検出装置を示すブロック図、図3は傷検出装置
の検出手順を示す流れ図である。
FIG. 1 is a schematic diagram showing a flaw detection device.
FIG. 2 is a block diagram showing a flaw detection device, and FIG. 3 is a flowchart showing a detection procedure of the flaw detection device.

【0013】傷検出装置10は、油圧緩衝器のピストン
ロッド1の表面の画像処理により、傷を検出する。
The flaw detection device 10 detects flaws by image processing of the surface of the piston rod 1 of the hydraulic shock absorber.

【0014】傷検出装置10は、図1に示す如く、画像
取込装置11と、パソコン12と、清掃装置13と、ワ
ーク回転装置14と、表示装置15を有する。
As shown in FIG. 1, the flaw detection device 10 has an image capturing device 11, a personal computer 12, a cleaning device 13, a work rotating device 14, and a display device 15.

【0015】画像取込装置11は、CCDカメラ等のラ
インセンサからなるカメラ21と、光源22とからな
り、ロッド1の表面の画像を取込む。
The image capturing device 11 includes a camera 21 composed of a line sensor such as a CCD camera and a light source 22, and captures an image of the surface of the rod 1.

【0016】パソコン12は、図2に示す如く、画像処
理手段31と識別手段32と制御手段33を有する。画
像処理手段31は画像取込装置11が取込んだ画像を処
理する。識別手段32は画像処理手段31の画像処理結
果を得て画像の濃淡から傷画像2(傷2A、ゴミ2B)
の有無を識別する。尚、ロッド1は予め基準位置マーク
を付されており、画像処理手段31により処理された画
像はこのマークに対応する規準位置Pを付与され(図
3)、識別手段32は傷画像2の位置をこの規準位置P
を規準として算定する。制御手段33については後述す
る。
As shown in FIG. 2, the personal computer 12 has an image processing means 31, an identification means 32, and a control means 33. The image processing means 31 processes the image captured by the image capturing device 11. The identification unit 32 obtains the image processing result of the image processing unit 31 and determines the scratch image 2 (scratch 2A, dust 2B) based on the density of the image.
Identify the presence or absence of The rod 1 is provided with a reference position mark in advance, the image processed by the image processing means 31 is provided with a reference position P corresponding to the mark (FIG. 3), and the identification means 32 determines the position of the flaw image 2. To this reference position P
Calculate based on The control means 33 will be described later.

【0017】清掃装置13は、エアブロー41(エアフ
ィルタ41A、エアバルブ41B)により構成でき、ロ
ッド1の表面を簡易清掃する。尚、清掃装置13は、回
転ブラシ42により(図1(B))、又は回転布テープ
43により構成できる(図1(C))。
The cleaning device 13 can be constituted by an air blow 41 (air filter 41A, air valve 41B) and simply cleans the surface of the rod 1. The cleaning device 13 can be constituted by a rotating brush 42 (FIG. 1B) or by a rotating cloth tape 43 (FIG. 1C).

【0018】ワーク回転装置14は、簡易洗浄後のロッ
ド1を受取り、ロッド1を検出作業位置にて周回せし
め、検出後のロッド1(良品1A、不良品1B)を払い
出す。
The work rotating device 14 receives the rod 1 after the simple cleaning, rotates the rod 1 at the detection work position, and pays out the detected rod 1 (non-defective 1A, defective 1B).

【0019】表示装置15は、ロッド1の傷有りを判断
したとき、これを音、光等により表示し、オペレータに
報知する。
When the display device 15 determines that the rod 1 is flawed, it displays this by sound, light, or the like, and notifies the operator.

【0020】然るに、パソコン12の制御手段33は、
画像処理手段31と識別手段32と清掃装置13を制御
し、ロッド1の傷の有無を下記(1)〜(6)により検出する
(図3)。 (1)ロッド1を投入する。尚、ロッド1は汚れの付着度
に対応する簡易洗浄を付与されてワーク回転装置14に
搬入される。
However, the control means 33 of the personal computer 12
The image processing means 31, the identification means 32, and the cleaning device 13 are controlled, and the presence or absence of a flaw on the rod 1 is detected by the following (1) to (6) (FIG. 3). (1) Put the rod 1 in. It should be noted that the rod 1 is subjected to simple cleaning corresponding to the degree of adhesion of dirt and is carried into the work rotating device 14.

【0021】(2)ワーク回転装置14によりロッド1を
周回しながら、画像取込装置11のカメラ21により表
面の画像を取込む。
(2) An image of the surface is captured by the camera 21 of the image capturing device 11 while rotating the rod 1 by the work rotating device 14.

【0022】(3)上述(2)の画像を画像処理手段31によ
り処理し、識別手段32により傷画像2の有無を識別す
る(画像識別1)。傷画像2が全く無いロッド1は良品
(OK)として払い出される。
(3) The image of (2) is processed by the image processing means 31, and the presence or absence of the flaw image 2 is identified by the identification means 32 (image identification 1). The rod 1 having no scratch image 2 is paid out as a good product (OK).

【0023】(4)上述(3)で傷画像2有りとなったロッド
1については、清掃装置13のエアブロー41等により
軽く表面を清掃する。
(4) The surface of the rod 1 having the flaw image 2 in the above (3) is lightly cleaned by the air blow 41 of the cleaning device 13 or the like.

【0024】(5)ワーク回転装置14によりロッド1を
周回しながら、画像取込装置11のカメラ21により表
面の画像を再度取込む。そして、取込んだ画像を再び画
像処理手段31により処理し、識別手段32により傷画
像2の有無を識別する(画像識別2)。傷画像2が全く
ないものとなったロッド1は良品(OK)として払い出
される。
(5) While rotating the rod 1 by the work rotating device 14, the camera 21 of the image capturing device 11 captures an image of the surface again. Then, the captured image is processed again by the image processing means 31, and the presence or absence of the flaw image 2 is identified by the identification means 32 (image identification 2). The rod 1 having no scratch image 2 is paid out as a good product (OK).

【0025】(6)上述(5)で傷画像2有りとなったロッド
1については、制御手段33において、前述(3)の画像
識別1で有りとされた傷画像2の位置、大きさ、形状
と、上述(5)の画像識別2で有りとされた傷画像2の位
置、大きさ、形状を比較する。
(6) For the rod 1 having the flaw image 2 in the above (5), the control means 33 determines the position, size, and position of the flaw image 2 determined to be the flaw in the image identification 1 in the above (3). The shape is compared with the position, size, and shape of the flaw image 2 determined to be present in the image identification 2 in (5) above.

【0026】制御手段33は、画像識別1の傷画像2の
位置と画像識別2の傷画像2の位置とが同一位置であれ
ば、傷画像2は傷2Aとみなし、傷有りと判断し、この
ロッド1は不良品(NG)として払い出す。
If the position of the flaw image 2 of the image identification 1 is the same as the position of the flaw image 2 of the image identification 2, the control means 33 regards the flaw image 2 as a flaw 2A and determines that there is a flaw. This rod 1 is paid out as a defective product (NG).

【0027】制御手段33は、画像識別1の傷画像2の
位置に対し、画像識別2の傷画像2の位置が移動してい
るときには、傷画像2はゴミ2Bとみなし、傷無しと判
断し、傷2Aが全く無いものとなったロッド1は良品
(OK)として払い出す。
When the position of the flaw image 2 of the image identification 2 is moving with respect to the position of the flaw image 2 of the image identification 1, the control means 33 regards the flaw image 2 as dust 2B and determines that there is no flaw. The rod 1 having no scratches 2A is paid out as a good product (OK).

【0028】本実施形態によれば、以下の作用がある。
ロッド1の表面の傷2Aは清掃の前後で移動することが
ないから、1回目の画像処理と2回目の再画像処理の両
方で同一位置に位置する傷画像2は傷2Aと判断する
が、再画像処理により移動することになった傷画像2は
ゴミ2Bと判断できる。従って、ロッド1の表面にゴミ
2Bがあっても、ゴミ2Bと傷2Aとを判別できるか
ら、洗浄は簡易化できる。よって、傷2を高精度で検出
しながら、洗浄時間を短時間にし、洗浄設備も簡素化
し、ロッド1の傷検出ラインの生産効率を向上できる。
According to this embodiment, the following operations are provided.
Since the scratch 2A on the surface of the rod 1 does not move before and after cleaning, the scratch image 2 located at the same position is determined as the scratch 2A in both the first image processing and the second re-image processing. The scratch image 2 that has been moved by the re-image processing can be determined as dust 2B. Therefore, even if there is dust 2B on the surface of the rod 1, the dust 2B can be distinguished from the flaw 2A, so that the cleaning can be simplified. Therefore, while detecting the flaw 2 with high accuracy, the cleaning time can be shortened, the cleaning equipment can be simplified, and the production efficiency of the flaw detection line for the rod 1 can be improved.

【0029】以上、本発明の実施の形態を図面により詳
述したが、本発明の具体的な構成はこの実施の形態に限
られるものではなく、本発明の要旨を逸脱しない範囲の
設計の変更等があっても本発明に含まれる。
The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration of the present invention is not limited to this embodiment, and the design can be changed without departing from the scope of the present invention. The present invention is also included in the present invention.

【0030】[0030]

【発明の効果】以上のように本発明によれば、ワークの
表面の傷を検出するに際し、洗浄時間を短時間にし、洗
浄設備も簡素化することによって生産効率を向上しなが
ら、傷検出精度を向上することできる。
As described above, according to the present invention, when detecting flaws on the surface of a work, the cleaning time is shortened and the cleaning equipment is simplified, thereby improving the production efficiency and improving the flaw detection accuracy. Can be improved.

【図面の簡単な説明】[Brief description of the drawings]

【図1】図1は傷検出装置を示す模式図である。FIG. 1 is a schematic diagram showing a flaw detection device.

【図2】図2は傷検出装置を示すブロック図である。FIG. 2 is a block diagram showing a flaw detection device.

【図3】図3は傷検出装置の検出手順を示す流れ図であ
る。
FIG. 3 is a flowchart showing a detection procedure of the flaw detection device.

【符号の説明】[Explanation of symbols]

1 ピストンロッド(ワーク) 2 傷画像 2A 傷 2B ゴミ 10 傷検出装置 11 画像取込装置(画像取込手段) 13 清掃装置(清掃手段) 31 画像処理手段 32 識別手段 33 制御手段 41 エアブロー 42 回転ブラシ 43 回転布テープ REFERENCE SIGNS LIST 1 piston rod (work) 2 scratch image 2A scratch 2B dust 10 scratch detection device 11 image capture device (image capture device) 13 cleaning device (cleaning device) 31 image processing device 32 identification device 33 control device 41 air blow 42 rotary brush 43 rotating cloth tape

Claims (5)

【特許請求の範囲】[Claims] 【請求項1】 ワークの表面の画像処理により傷を検出
する方法において、 画像処理により傷画像有りを識別した場合、ワークの表
面を清掃し、該表面の画像を再度取込んで、再画像処理
を行ない、前記傷画像の位置が再画像処理後に移動して
いるとき、該傷画像をゴミとみなして傷無しと判断する
ことを特徴とするワークの傷検出方法。
1. A method for detecting a flaw by image processing of a surface of a work, wherein when the presence of a flaw image is identified by the image processing, the surface of the work is cleaned, and the image of the surface is taken in again to perform re-image processing. And when the position of the flaw image moves after re-image processing, the flaw image is regarded as dust, and it is determined that there is no flaw.
【請求項2】 ワークの表面の画像処理により傷を検出
する装置において、 ワーク表面の画像を取込む画像取込手段と、 画像取込手段が取込んだ画像を処理する画像処理手段
と、 画像処理手段の画像処理結果より傷画像の有無を識別す
る識別手段と、 ワークの表面を清掃する清掃手段と、 画像処理手段と識別手段と清掃手段を制御する制御手段
とを有し、 制御手段は、画像処理手段による画像処理により傷画像
有りを識別した場合、清掃手段によってワークの表面を
清掃し、該表面の画像を再度取込んで、画像処理手段に
よる再画像処理を行ない、前記傷画像の位置が再画像処
理後に移動しているとき、該傷画像をゴミとみなして傷
無しと判断することを特徴とするワークの傷検出装置。
2. An apparatus for detecting flaws by image processing of a surface of a work, comprising: image capturing means for capturing an image of the work surface; image processing means for processing the image captured by the image capturing means; An identification unit for identifying the presence or absence of a flaw image based on an image processing result of the processing unit; a cleaning unit for cleaning a surface of the work; a control unit for controlling the image processing unit, the identification unit, and the cleaning unit; When the presence of a flaw image is identified by the image processing by the image processing means, the surface of the work is cleaned by the cleaning means, the image of the surface is captured again, and the re-image processing is performed by the image processing means. When the position moves after re-image processing, the flaw image is regarded as dust, and it is determined that there is no flaw.
【請求項3】 前記清掃手段がエアブローにより行なう
請求項2記載のワークの傷検出装置。
3. The apparatus according to claim 2, wherein the cleaning unit performs the air blow.
【請求項4】 前記清掃手段が回転ブラシにより行なう
請求項2記載のワークの傷検出装置。
4. The apparatus according to claim 2, wherein said cleaning means is performed by a rotating brush.
【請求項5】 前記清掃手段が布テープの擦り付けによ
り行なう請求項2記載のワークの傷検出装置。
5. The apparatus according to claim 2, wherein said cleaning means performs the cleaning by rubbing a cloth tape.
JP2000229806A 2000-07-28 2000-07-28 Method and apparatus for detecting work flaw Withdrawn JP2002039958A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006258737A (en) * 2005-03-18 2006-09-28 Kobe Steel Ltd Surface defect inspection method of aluminum alloy bar material
CN102072910A (en) * 2010-11-13 2011-05-25 上海交通大学 Visual inspection system for automobile piston assembly quality
CN108645869A (en) * 2018-08-20 2018-10-12 中国印刷科学技术研究院有限公司 The non-defective method for removing and its device of gravure printing roller surface defect intelligent measurement
CN109254015A (en) * 2018-09-26 2019-01-22 浙江双鸿智能设备有限公司 A kind of detection device on automated cleaning Cylindrical workpiece surface
CN109444157A (en) * 2018-12-25 2019-03-08 苏州凡目视觉科技有限公司 A kind of scratch detection apparatus and method
CN114310395A (en) * 2022-01-13 2022-04-12 广东韶钢松山股份有限公司 Device and method for detecting scratch depth of surface of metal workpiece

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006258737A (en) * 2005-03-18 2006-09-28 Kobe Steel Ltd Surface defect inspection method of aluminum alloy bar material
JP4509833B2 (en) * 2005-03-18 2010-07-21 株式会社神戸製鋼所 Surface defect inspection method for aluminum alloy bar
CN102072910A (en) * 2010-11-13 2011-05-25 上海交通大学 Visual inspection system for automobile piston assembly quality
CN108645869A (en) * 2018-08-20 2018-10-12 中国印刷科学技术研究院有限公司 The non-defective method for removing and its device of gravure printing roller surface defect intelligent measurement
CN109254015A (en) * 2018-09-26 2019-01-22 浙江双鸿智能设备有限公司 A kind of detection device on automated cleaning Cylindrical workpiece surface
CN109254015B (en) * 2018-09-26 2022-04-05 浙江双鸿智能设备有限公司 Detection equipment for automatically cleaning surface of cylinder workpiece
CN109444157A (en) * 2018-12-25 2019-03-08 苏州凡目视觉科技有限公司 A kind of scratch detection apparatus and method
CN114310395A (en) * 2022-01-13 2022-04-12 广东韶钢松山股份有限公司 Device and method for detecting scratch depth of surface of metal workpiece

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