JPS63293450A - Quality sorting method for citrus fruit - Google Patents
Quality sorting method for citrus fruitInfo
- Publication number
- JPS63293450A JPS63293450A JP62129144A JP12914487A JPS63293450A JP S63293450 A JPS63293450 A JP S63293450A JP 62129144 A JP62129144 A JP 62129144A JP 12914487 A JP12914487 A JP 12914487A JP S63293450 A JPS63293450 A JP S63293450A
- Authority
- JP
- Japan
- Prior art keywords
- tangerine
- ray
- shape
- quality
- transmitted
- 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.)
- Pending
Links
- 235000020971 citrus fruits Nutrition 0.000 title claims abstract description 17
- 238000000034 method Methods 0.000 title claims description 15
- 241001672694 Citrus reticulata Species 0.000 claims description 29
- 238000003384 imaging method Methods 0.000 claims description 12
- 239000011800 void material Substances 0.000 claims description 11
- 235000013399 edible fruits Nutrition 0.000 claims description 3
- 238000002604 ultrasonography Methods 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 abstract description 9
- 230000035939 shock Effects 0.000 abstract description 9
- 230000007547 defect Effects 0.000 abstract description 6
- 230000002950 deficient Effects 0.000 abstract description 6
- 241000675108 Citrus tangerina Species 0.000 abstract 7
- 238000007689 inspection Methods 0.000 description 5
- 239000005355 lead glass Substances 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000011179 visual inspection Methods 0.000 description 2
- MCSXGCZMEPXKIW-UHFFFAOYSA-N 3-hydroxy-4-[(4-methyl-2-nitrophenyl)diazenyl]-N-(3-nitrophenyl)naphthalene-2-carboxamide Chemical compound Cc1ccc(N=Nc2c(O)c(cc3ccccc23)C(=O)Nc2cccc(c2)[N+]([O-])=O)c(c1)[N+]([O-])=O MCSXGCZMEPXKIW-UHFFFAOYSA-N 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 241000607479 Yersinia pestis Species 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 210000003746 feather Anatomy 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
Landscapes
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
Description
【発明の詳細な説明】
〔産業上の利用分野〕
本発明はかんきつ類の品質選別方法に係り、特に外観か
ら識別できない欠陥を自動的に選別するかんきつ類の品
質選別方法に関する。DETAILED DESCRIPTION OF THE INVENTION [Industrial Application Field] The present invention relates to a method for quality selection of citrus fruits, and more particularly to a method for quality selection of citrus fruits that automatically screens out defects that cannot be identified from the appearance.
かんきつ類、例えば蜜柑の品質の良、不良の3品質選別
は、従来、目視検査により、蜜柑の外観から識別できる
腐敗変質、病虫害、傷等の障害等について、選別されて
いる他、その表面色即ち、果面の着色度合いに応じて、
果面の色が、全面の濃緑色から燈紅色に至るまで約8ラ
ンクに分類選別している。Traditionally, citrus fruits, such as mandarin oranges, are classified into three types of quality: good and poor quality.In addition to visual inspection, the mandarin oranges are screened for defects such as deterioration, damage from pests, and damage that can be identified from their appearance, as well as their surface color, i.e. , depending on the degree of coloration of the fruit surface.
The fruits are classified into eight ranks, ranging in color from deep green to deep red.
しかし、外観から識別できない欠陥、即ち、過度の衝撃
を受けている蜜柑で、日持ちが悪く腐敗しやすいもの等
の潜在欠陥の識別に関しては、適当な検査方法がなく、
検査できずに見過ごされていた。However, there is no suitable inspection method for identifying defects that cannot be identified from their appearance, such as latent defects in mandarin oranges that have been subjected to excessive shock and have a poor shelf life and are easily perishable.
It could not be tested and was overlooked.
本発明の目的は、上記従来技術の実情に鑑みてなされた
もので、外観から識別できない欠陥を高確度に自動的に
選別できるようにしたかんきつ類の品質選別方法を提供
することにある。The purpose of the present invention was made in view of the above-mentioned state of the prior art, and it is an object of the present invention to provide a method for selecting the quality of citrus fruits, which allows defects that cannot be identified from appearance to be automatically selected with high accuracy.
上記問題点を解決するため、本発明は、品質検査対象の
かんきつ類の房で囲まれた中心部の空隙パターンを画像
化し、その形状から前記かんきつ類の良、不良を選別す
ることを特徴とする。In order to solve the above-mentioned problems, the present invention is characterized by imaging the void pattern in the center surrounded by clusters of citrus fruits to be inspected for quality, and sorting out whether the citrus fruits are good or bad based on the shape.
上記手段によると、かんきつ順の中心部の空隙パターン
は機械的衝撃の有無によって形状が異なり、この形状は
X線又は超音波の透過によって画像化できるため、その
画像の処理から良品と不良品の選別を自動的に行うこと
ができる。According to the above method, the shape of the void pattern in the center of the citrus fruit differs depending on the presence or absence of mechanical impact, and this shape can be imaged by transmitting X-rays or ultrasonic waves, so by processing the image, it is possible to distinguish between good and defective products. Sorting can be done automatically.
〔実施例〕 以下、本発明の一実施例を図面に基づいて説明する。〔Example〕 Hereinafter, one embodiment of the present invention will be described based on the drawings.
第1図は本発明を適用するに好適な検査装置を示す正面
図である。FIG. 1 is a front view showing an inspection apparatus suitable for applying the present invention.
ワークを搬入するために無端ゴムベルト10がローラ1
2a、12bに張架されている。無端ゴムベルト10の
水平部の所定位置の上方に軟X線を発生するX線発生器
14が配設され、このX線発生器14に対向し、且つゴ
ムベルト10を間挿させた状態で撮影部16が配設され
ている。また、X線発生器14とゴムベルト10間には
X線が外部に漏れないようにするための鉛ガラス窓18
が設けられ、X線発生器14に隣接してX線発生用電源
20が設置されている。An endless rubber belt 10 is connected to a roller 1 in order to carry in a workpiece.
2a and 12b. An X-ray generator 14 that generates soft X-rays is disposed above a predetermined position on the horizontal portion of the endless rubber belt 10, and an imaging section is installed facing the X-ray generator 14 and with the rubber belt 10 interposed therebetween. 16 are arranged. Additionally, a lead glass window 18 is provided between the X-ray generator 14 and the rubber belt 10 to prevent X-rays from leaking outside.
is provided, and an X-ray generation power source 20 is installed adjacent to the X-ray generator 14.
無端ゴムベルト10はローラ12bを駆動ローラとして
回転駆動され、ローラ12bはベルト24を介し無段変
速機22より回転力が伝達される。The endless rubber belt 10 is rotationally driven using a roller 12b as a driving roller, and rotational force is transmitted to the roller 12b from a continuously variable transmission 22 via a belt 24.
無段変速機22には不図示のモータが駆動源として連結
される。A motor (not shown) is connected to the continuously variable transmission 22 as a drive source.
X線発生器14、撮影部16、鉛ガラス窓18、電源2
0及び無段変速機22等はX線が作業者等に照射される
のを防止するため、遮蔽ボックス26内に収納されてい
る。更に、X線発生器及び撮影部16の各々にはシール
ドが施されている。X-ray generator 14, imaging unit 16, lead glass window 18, power supply 2
0, the continuously variable transmission 22, and the like are housed in a shielding box 26 to prevent workers and the like from being exposed to X-rays. Further, each of the X-ray generator and the imaging section 16 is shielded.
第2図乃至第4図は撮影部16の具体例を示すものであ
り、かんきつ類30にX線(Xray)を照射した際に
得られる透過X線像を撮像する撮像体として、各々SI
Tカメラ32、IIカメラ34及びフォトダイオードア
レイ36を用いたものである。2 to 4 show specific examples of the imaging unit 16, each of which is an imaging body that captures a transmitted X-ray image obtained when citrus fruits 30 are irradiated with X-rays (Xray).
This uses a T camera 32, a II camera 34, and a photodiode array 36.
第2図の構成では、透過X線像を固定撮像パネル38に
可視像を形成し、これを全反射ミラー40を介してSI
Tカメラ32で撮像するようにしている。また、第4図
の構成では、シンチレータ42を介してフォトダイオー
ドアレイ36によって撮像したのち、アンプ分配器44
で増幅ならびに分配処理ののち、信号処理回路46で選
別判定を行う構成がとられている。In the configuration shown in FIG. 2, a transmitted X-ray image is formed into a visible image on a fixed imaging panel 38, and this is transmitted to the SI via a total reflection mirror 40.
An image is taken by a T camera 32. Further, in the configuration shown in FIG. 4, after imaging is performed by the photodiode array 36 via the scintillator 42,
After amplification and distribution processing, the signal processing circuit 46 performs selection/judgment.
以上の構成において、検査対象の蜜柑等は、第1図の矢
印方向からゴムベル)10に載置された状態で搬入され
る。搬入された蜜柑が、例えば第4図に示すようにX線
照射部の直下に到達すると、X線が蜜柑30を透過する
。このX線透過によって透過X線像が得られるわけであ
るが、この透過X線像は蜜柑300品質状態によって特
徴的な差異が生じる。In the above configuration, the mandarin oranges and the like to be inspected are carried in while being placed on the rubber bell 10 in the direction of the arrow in FIG. When the carried mandarin oranges reach directly below the X-ray irradiation section as shown in FIG. 4, for example, the X-rays pass through the mandarin oranges 30. A transmission X-ray image is obtained by this X-ray transmission, and characteristic differences occur in this transmission X-ray image depending on the quality state of the mandarin orange 300.
即ち、機械的衝撃が印加された蜜柑は、その内部構造的
特徴として、蜜柑の房で囲まれた、蜜柑の中心軸近傍の
空隙パターンの形状が、機械的衝撃を受けていない場合
は、境界の鮮明な星状あるいは、ひとで状の形状である
のに反して、境界が鮮明でなくしかも星或いは、ひとで
状の空隙パターンがくずれ、ランダムな空隙パターンに
なっている。In other words, when a tangerine is subjected to a mechanical shock, its internal structural feature is that the shape of the void pattern near the central axis of the tangerine surrounded by the tangerine clusters is similar to that of the border when the tangerine is not subjected to a mechanical shock. However, the boundaries are not clear and the star-like or star-shaped void pattern is distorted, resulting in a random void pattern.
この−例を模式的に示したのが第5図及び第6図の透過
X線像である。第5図は機械的衝撃を受けた場合を示し
、第6図は機械的衝撃を受けていない場合を示している
。従って、この空隙パターンの形状を解析することによ
り、潜在的腐敗因子を持つ蜜柑を選別できることになる
。形状解析の手段としては、例えば、空隙パターンの面
積を周囲長さで割った値や円らしさ等をvf微量とする
特微評価関数法を用いたパターンマツチング法を採用す
ることができる。円らしさδは、次式で求められ、例え
ば、良品蜜柑(機械衝撃を受けていないもの)はδ=2
5.9程度であれば、不良蜜柑(機械的衝撃を受けてい
るもの)はδ=13.8程度となり、容易に判別するこ
とができる。This example is schematically shown in the transmission X-ray images shown in FIGS. 5 and 6. FIG. 5 shows the case when mechanical shock is applied, and FIG. 6 shows the case when no mechanical shock is applied. Therefore, by analyzing the shape of this void pattern, mandarin oranges with potential spoilage factors can be selected. As a shape analysis means, for example, a pattern matching method using a feature evaluation function method in which the value obtained by dividing the area of the void pattern by the circumferential length, the circularity, etc., is taken as the vf minute amount can be adopted. The roundness δ is calculated by the following formula. For example, for a good mandarin orange (one that has not been subjected to mechanical shock), δ = 2
If it is about 5.9, defective mandarin oranges (those that have been subjected to mechanical shock) will have a value of about 13.8, and can be easily identified.
周囲長 し
良品と判定された蜜柑30はゴムベルト10の進行方向
を直進して次の工程に送り込まれるが、不良品と判定さ
れた蜜柑30は不良品排出部28によってゴムベルト1
00側方に払い落とされる。Mandarin oranges 30 determined to be good products based on the circumference length move straight in the direction of movement of the rubber belt 10 and sent to the next process, while mandarin oranges 30 determined to be defective products are removed from the rubber belt 1 by the defective product discharge section 28
00 is brushed off to the side.
尚、検査装置本体の外形寸法としては、幅3700祁×
高さ1800mmx奥行き1000 s程度で、総重量
としては、約1000kg程度である。In addition, the external dimensions of the inspection device body are 3,700 yen in width x
It is approximately 1800 mm in height x 1000 mm in depth, and has a total weight of approximately 1000 kg.
また、X線発生器14の仕様は、例えば管電圧40KV
、管電流4mA、照射時間0.1秒のものが用いられる
。これによづて得られたX線像は、高感度X線テレビで
直接に撮像することができる。Further, the specifications of the X-ray generator 14 include, for example, a tube voltage of 40 KV.
, a tube current of 4 mA, and an irradiation time of 0.1 seconds are used. The X-ray image obtained thereby can be directly captured with a high-sensitivity X-ray television.
また、前記実施例による撮像システムでは、軟X線方式
について言及したが、これは、超音波センサーの断層画
像の処理方式でも良い。この場合、柑の中心軸上に蜜柑
を挟み込む位置に、超音波センサーを配置し、蜜柑或い
はセンサーを移動させながら、その透過超音波画像をサ
ンプリングし、これを解析することにより蜜柑の房で囲
まれた、蜜柑の中心軸近傍の空隙パターンの形状を計測
するようにすればよい。Further, in the imaging system according to the embodiment, the soft X-ray method was mentioned, but this may also be a method for processing tomographic images of an ultrasonic sensor. In this case, an ultrasonic sensor is placed at a position where the mandarin orange is sandwiched between the mandarin oranges on the central axis of the mandarin orange, and while the mandarin orange or the sensor is moved, the transmitted ultrasound image is sampled and analyzed. What is necessary is to measure the shape of the void pattern near the central axis of the mandarin orange.
以上より明らかなように本発明によれば、従来目視検査
では、検出困難であった、腐敗因子を内在した蜜柑の選
別が可能になり、オンラインで実現できる高速かつ、高
性能の蜜柑品質の検査装置を提供できる。As is clear from the above, according to the present invention, it is possible to sort out mandarin oranges that contain spoilage factors, which were difficult to detect by conventional visual inspection, and to perform high-speed, high-performance mandarin quality inspection that can be achieved online. equipment can be provided.
第1図は本発明方法を適用するに好適な品質検査装置を
示す正面図、第2図乃至第4図は第1図に示す撮影部1
6の3例示す構成図、第5図及び第6図は機械的衝撃を
受)すた場合と受けない場合の透過X@像図である。
10・・・無端コムベル)、 12a、12b・・・
ローラ、 14・・・X線発生器、 16・・・撮影部
、18・・・鉛ガラス窓、 20・・・X線発生用電源
、32・・・SITカメラ、 34・・・IIカメラ
、 36・・・フォトダイオードアレイ。
出願人 日立プラント建設株式会社
第1回
どl
第2図 第3図 第4図
12コ、12b−+コーラ、 20−X !r
*−$14 IM、、14−−−Xai盪、 32−
51 ]]hメーy16−−−羽と膚う都 3
4−T Iノアメラ、 36−−−7オト4゛イ
オードアレイ。FIG. 1 is a front view showing a quality inspection apparatus suitable for applying the method of the present invention, and FIGS. 2 to 4 are photographing section 1 shown in FIG. 1.
6, and FIGS. 5 and 6, which are diagrams illustrating three examples, are transmission X images with and without mechanical impact. 10... endless commbell), 12a, 12b...
Roller, 14... X-ray generator, 16... Photographing unit, 18... Lead glass window, 20... X-ray generation power source, 32... SIT camera, 34... II camera, 36...Photodiode array. Applicant Hitachi Plant Construction Co., Ltd. 1st edition Figure 2 Figure 3 Figure 4 12, 12b-+Cola, 20-X! r
*-$14 IM,, 14---Xai, 32-
51 ]] hme y16 --- Feathers and the City 3
4-TI Noamera, 36--7 Oto 4゛Iode Array.
Claims (3)
の空隙パターンを画像化し、その形状から前記かんきつ
類の良、不良を選別することを特徴とするかんきつ類の
品質選別方法。(1) A method for quality sorting citrus fruits, which comprises imaging the void pattern in the center surrounded by clusters of citrus fruits to be inspected for quality, and sorting out whether the citrus fruits are good or bad based on the shape.
心軸上から軟X線を照射し、その透過画像を解析するこ
とにより蜜柑の房で囲まれた、蜜柑の中心軸近傍の空隙
パターンの形状を計測することを特徴とする特許請求の
範囲第1項に記載のかんきつ類の品質選別方法。(2) The imaging and sorting means irradiates soft X-rays from above the central axis of the citrus fruit, and analyzes the transmitted image to determine the void pattern near the central axis of the tangerine surrounded by bunches of tangerines. The method for selecting quality of citrus fruits according to claim 1, which comprises measuring the shape.
の中心軸上に蜜柑を挟み込む位置に、超音波センサーを
配置し、蜜柑或いは、センサーを移動させながら、その
透過超音波画像をサンプリングし、これを解析すること
により蜜柑の房で囲まれた、蜜柑の中心軸近傍の空隙パ
ターンの形状を計測することを特徴とする特許請求の範
囲第1項に記載のかんきつ類の品質選別方法。(3) The imaging and sorting means arranges an ultrasonic sensor on the central axis of the citrus fruit at a position where the mandarin orange is sandwiched, and samples the transmitted ultrasound image while moving the mandarin fruit or the sensor. , the method for quality sorting citrus fruit according to claim 1, characterized in that the shape of the void pattern near the central axis of the tangerine surrounded by the tangerine clusters is measured by analyzing this.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP62129144A JPS63293450A (en) | 1987-05-27 | 1987-05-27 | Quality sorting method for citrus fruit |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP62129144A JPS63293450A (en) | 1987-05-27 | 1987-05-27 | Quality sorting method for citrus fruit |
Publications (1)
Publication Number | Publication Date |
---|---|
JPS63293450A true JPS63293450A (en) | 1988-11-30 |
Family
ID=15002215
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP62129144A Pending JPS63293450A (en) | 1987-05-27 | 1987-05-27 | Quality sorting method for citrus fruit |
Country Status (1)
Country | Link |
---|---|
JP (1) | JPS63293450A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06347424A (en) * | 1993-06-08 | 1994-12-22 | Hamamatsu Photonics Kk | Soft x-ray nondestructive examination device |
JP2002039731A (en) * | 2000-07-25 | 2002-02-06 | Techno Ishii:Kk | Method and device for detecting cavitation of detected body |
JP2011196809A (en) * | 2010-03-19 | 2011-10-06 | Ishida Co Ltd | X-ray inspection device |
-
1987
- 1987-05-27 JP JP62129144A patent/JPS63293450A/en active Pending
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06347424A (en) * | 1993-06-08 | 1994-12-22 | Hamamatsu Photonics Kk | Soft x-ray nondestructive examination device |
JP2002039731A (en) * | 2000-07-25 | 2002-02-06 | Techno Ishii:Kk | Method and device for detecting cavitation of detected body |
JP2011196809A (en) * | 2010-03-19 | 2011-10-06 | Ishida Co Ltd | X-ray inspection device |
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