JPH04291679A - Device for discriminating grade of tuna - Google Patents

Device for discriminating grade of tuna

Info

Publication number
JPH04291679A
JPH04291679A JP5655391A JP5655391A JPH04291679A JP H04291679 A JPH04291679 A JP H04291679A JP 5655391 A JP5655391 A JP 5655391A JP 5655391 A JP5655391 A JP 5655391A JP H04291679 A JPH04291679 A JP H04291679A
Authority
JP
Japan
Prior art keywords
tuna
color
image
video signal
circuit
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
Application number
JP5655391A
Other languages
Japanese (ja)
Inventor
Kuniyuki Fukuzawa
福沢 邦之
Fumitaka Hayata
早田 文隆
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.)
Hitachi Plant Technologies Ltd
Original Assignee
Hitachi Plant Technologies Ltd
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 Hitachi Plant Technologies Ltd filed Critical Hitachi Plant Technologies Ltd
Priority to JP5655391A priority Critical patent/JPH04291679A/en
Publication of JPH04291679A publication Critical patent/JPH04291679A/en
Pending legal-status Critical Current

Links

Abstract

PURPOSE:To objectively discriminate the freshness and fat contents of tuna. CONSTITUTION:This tuna grade discriminating device is constituted of a white lamp 16 which the section of a tuna slice 12 is irradiated with white light, a black-and-white ITV camera 18 for photographing the slice 12, a differential emphasis circuit device 22 for differentially emphasizing a black-and-white video signal outputted from the camera 18 and converting the video signal into a binary image, a color ITV camera 24 for photographing the slice 12, a color extracting circuit device 28 for extracting the video signal of only a specific color component out of an image photographed by the camera 24 and converting the video signal into a binary image, an arithmetic circuit device 30 for executing AND operation between the binary images outputted from the devices 22, 28, and a measurement circuit device 38 for measuring the area, shape, etc., of the image computed by the circuit 30.

Description

【発明の詳細な説明】[Detailed description of the invention]

【0001】0001

【産業上の利用分野】本発明は鮪の等級判別装置に係り
、特に鮪の鮮度、脂肪分量を評価する鮪の等級判別装置
に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a tuna grading device, and more particularly to a tuna grading device for evaluating the freshness and fat content of tuna.

【0002】0002

【従来の技術】従来、鮪の判定は目視によって行われて
いる。即ち、熟練検査員が、鮪の切断面に見られる鱗紋
(脊椎を中心として略同心円状に分布する白い筋状の模
様)の鮮明度(コントラスト)から鮮度を判定したり、
切断面の油身(脂肪分)分布状態から鮪本体の全脂肪分
量を推定して判定したりしている。
2. Description of the Related Art Conventionally, tuna has been judged visually. In other words, a skilled inspector judges the freshness of the tuna based on the sharpness (contrast) of the scale marks (white striped patterns distributed approximately concentrically around the spine) found on the cut surface of the tuna.
The total fat content of the tuna body is estimated and determined based on the distribution of oil (fat content) on the cut surface.

【0003】ここで、前記鮮度判定は鱗紋が鮮明なほど
鮮度が良いと判定され、また脂肪分量は多いほど上位の
ランクに判定される。
[0003] In the freshness determination, the clearer the scale pattern, the better the freshness, and the higher the fat content, the higher the rank.

【0004】0004

【発明が解決しようとする課題】しかしながら、従来の
鮪の判定は目視による推定で行われているので、客観的
に数値でランク分けして判定することができないという
欠点がある。このような不具合を解消する為に、近赤外
線を応用して脂肪分の分布状態を計測する方法があるが
、実用化されていない状態である。
[Problems to be Solved by the Invention] However, since the conventional judgment of tuna is performed by visual estimation, there is a drawback that it is not possible to objectively rank and judge tuna using numerical values. In order to solve this problem, there is a method of measuring fat distribution using near-infrared rays, but this method has not been put into practical use.

【0005】本発明は、このような事情に鑑みてなされ
たもので、鮪の鮮度、脂肪分量を客観的に数値で判定す
ることができる鮪の等級判別装置を提供することを目的
とする。
The present invention has been made in view of the above circumstances, and an object thereof is to provide a tuna grade discriminating device that can objectively and numerically judge the freshness and fat content of tuna.

【0006】[0006]

【課題を解決する為の手段】本発明は、前記目的を達成
する為に、鮪の切断面を照射する照明装置と、鮪の切断
面を撮影する白黒撮像カメラと、白黒撮像カメラからの
白黒映像信号を微分強調して2値化画像に変換する微分
強調回路と、鮪の切断面を撮影するカラー撮像カメラと
、カラー撮像カメラで撮像された映像のうち特定の色成
分のみを示す映像信号を抽出してその映像信号を2値化
画像に変換する色抽出回路と、前記微分強調回路の2値
化画像と前記色抽出回路の2値化画像とを論理和演算す
る演算回路と、演算回路で演算された画像の面積、形状
等を計測する計測回路と、から成ることを特徴とする。
[Means for Solving the Problems] In order to achieve the above object, the present invention provides an illumination device for illuminating the cut surface of the tuna, a black and white imaging camera for photographing the cut surface of the tuna, and a black and white imaging camera for photographing the cut surface of the tuna. A differential emphasis circuit that differentially emphasizes a video signal and converts it into a binary image, a color imaging camera that photographs the cut section of the tuna, and a video signal that shows only specific color components of the video captured by the color imaging camera. a color extraction circuit that extracts the video signal and converts the video signal into a binary image; an arithmetic circuit that performs an OR operation on the binary image of the differential emphasis circuit and the binary image of the color extraction circuit; It is characterized by comprising a measurement circuit that measures the area, shape, etc. of the image calculated by the circuit.

【0007】[0007]

【作用】本発明によれば、鮪の鮮度判定は、切断面に於
ける鱗紋部分とその他の部分とのコントラスト差を利用
して画像処理することにより行ない、また脂肪分量の判
定は切断面に於ける脂肪部分とその他の部分との色彩違
いを利用して画像処理することにより行う。
[Operation] According to the present invention, the freshness of tuna is determined by image processing using the contrast difference between the scale pattern and other parts on the cut surface, and the fat content is determined on the cut surface. This is done by image processing using the difference in color between fat parts and other parts of the body.

【0008】即ち、鮪の鮮度判定は、微分強調回路の2
値化画像と前記色抽出回路の2値化画像とを演算回路で
論理和演算し、そして演算された画像の面積、形状等を
計測回路で計測し、求められた面積、形状等を基に判定
する。また、脂肪分量の判定は、カラー撮像カメラで撮
像された映像のうち脂肪分の色に相当する色成分のみを
示す映像信号を抽出し、抽出した脂肪分を示す映像信号
を2値化処理し、この2値化画像の面積を求めると共に
、切断面の全面積に於ける面積比率を求め、この比率を
基に判定する。
That is, the freshness of tuna can be determined by using two differential emphasis circuits.
The digitized image and the binarized image from the color extraction circuit are logically ORed by an arithmetic circuit, and the area, shape, etc. of the calculated image are measured by a measuring circuit, and based on the obtained area, shape, etc. judge. In addition, the fat content is determined by extracting a video signal showing only the color component corresponding to the fat content color from the video captured by a color imaging camera, and then binarizing the extracted video signal showing the fat content. , find the area of this binarized image, find the area ratio in the total area of the cut plane, and make a determination based on this ratio.

【0009】[0009]

【実施例】以下添付図面に従って本発明に係る鮪の等級
判別装置の好ましい実施例について詳説する。図1は本
発明に係る鮪の等級判別装置10の実施例が示され、鮪
の切身12が切断面を上にしてサンプル台14上に置か
れている。この切身12は図2に示すように、下部(腹
部)に脂肪13を有し、また白い筋状の鱗紋15が脊椎
12aを中心として略同心円状に分布している。
DESCRIPTION OF THE PREFERRED EMBODIMENTS Preferred embodiments of the tuna grade discriminating apparatus according to the present invention will be described in detail below with reference to the accompanying drawings. FIG. 1 shows an embodiment of the tuna grade discriminating apparatus 10 according to the present invention, in which a tuna fillet 12 is placed on a sample stage 14 with the cut side facing upward. As shown in FIG. 2, this fillet 12 has fat 13 in the lower part (abdomen), and white streak-like scales 15 are distributed approximately concentrically around the vertebrae 12a.

【0010】前記鮪の切身12の上方には、図1に示す
ように一対の白色ランプ16、16が配置され、この白
色ランプ16、16は前記切身12の切断面に均一に白
色光を照射することができる。また、白黒ITVカメラ
18が切身12の切断面を撮像可能な位置に設置される
。前記白黒ITVカメラ18には、ケーブル20を介し
て微分強調回路装置22が接続され、この微分強調回路
装置22は白黒ITVカメラ18から入力される白黒映
像信号から鱗紋15のコントラストに相当する映像信号
を抽出し、2値化画像に変換することができる。
A pair of white lamps 16, 16 are placed above the tuna fillet 12, as shown in FIG. can do. Further, a black-and-white ITV camera 18 is installed at a position where it can image the cut surface of the fillet 12. A differential enhancement circuit device 22 is connected to the monochrome ITV camera 18 via a cable 20, and the differential enhancement circuit device 22 extracts an image corresponding to the contrast of the scale pattern 15 from the monochrome video signal inputted from the monochrome ITV camera 18. The signal can be extracted and converted into a binarized image.

【0011】更に、カラーITVカメラ24が切身12
の切断面を撮像可能な位置に設置されると共に、前記白
黒ITVカメラ18で撮影した画像の位置関係が同一に
なる位置に配置されている。前記カラーITVカメラ2
4にはケーブル26を介して色抽出回路装置28が接続
される。前記色抽出回路装置28は、カラーITVカメ
ラ24から入力されるカラー映像信号から、図2に示し
た切身12の脂肪13の色に相当する薄桃色の映像信号
を抽出し、この映像信号を2値化画像に変換することが
できる。
[0011] Furthermore, the color ITV camera 24
It is installed at a position where it can image the cut plane of the camera, and at a position where the images taken by the black-and-white ITV camera 18 have the same positional relationship. The color ITV camera 2
4 is connected to a color extraction circuit device 28 via a cable 26. The color extraction circuit device 28 extracts a light pink video signal corresponding to the color of the fat 13 of the fillet 12 shown in FIG. 2 from the color video signal input from the color ITV camera 24, and converts this video signal into two It can be converted to a valued image.

【0012】一方、演算回路装置30がケーブル32、
34を介して前記微分強調回路装置22、色抽出回路装
置28に接続される。この演算回路装置30は、微分強
調回路装置22と色抽出回路装置28とで得られた各2
値化画像の論理積演算を行うことができる。また、前記
演算回路装置30にはケーブル36を介して計測回路装
置38が接続される。この計測回路装置38は、前記演
算回路装置30で演算された両画像の面積、形状等の特
微量計測を行うことができる。
On the other hand, the arithmetic circuit device 30 is connected to the cable 32,
It is connected to the differential emphasis circuit device 22 and the color extraction circuit device 28 via 34. This arithmetic circuit device 30 is configured to perform each two steps obtained by the differential emphasis circuit device 22 and the color extraction circuit device
It is possible to perform a logical product operation on valued images. Further, a measurement circuit device 38 is connected to the arithmetic circuit device 30 via a cable 36 . This measurement circuit device 38 can measure the characteristic quantities such as the area and shape of both images calculated by the arithmetic circuit device 30.

【0013】次に、前記の如く構成された鮪の等級判別
装置の作用について説明する。先ず、鮪の鮮度判定の指
標となる鱗紋15(図2中)から鮮明度を判定するには
、先ず、白黒ITVカメラ18からの白黒映像信号を微
分強調回路装置22で微分強調(明暗の変化が大きい部
分を強調)し、この画像を2値化処理して図3(a)に
示す2値化画像を作成する。前記2値化画像は、鱗紋1
5以外にも切断面の凹凸や皮と身との境界が抽出された
画像となるので、この画像からでは鱗紋15のみの鮮明
度が判定し難い。そこで、カラーITVカメラ24から
のカラー映像信号のうち、鱗紋15の白色のみを色抽出
回路装置28で抽出して2値化処理し図3(b)に示す
抽出画像を作成する。次に、図3(a)、(b)で示し
た両画像を演算回路装置30で論理積演算すると、鱗紋
15のみの抽出画像がコントラストの度合いに応じて図
3(c)に示すように現れる。次いで、この抽出画像に
於ける鱗紋15の面積、形状(鱗紋15の長さ、幅等)
等を計測回路装置38で計測する。そして、この計測値
に基づいて鮮明度を判定すると共に、判定した鮮明度を
基に鮮度を判定する。これにより、鮪の鮮度を客観的な
数値で判定することができる。
Next, the operation of the tuna grade discriminating device constructed as described above will be explained. First, in order to judge the sharpness from the scale pattern 15 (in FIG. 2), which is an index for judging the freshness of tuna, first, the black and white video signal from the black and white ITV camera 18 is differentially emphasized (bright and dark) by the differential emphasis circuit device 22. This image is then binarized to create the binarized image shown in FIG. 3(a). The binarized image is scale pattern 1
In addition to 5, the image includes the unevenness of the cut surface and the boundary between the skin and the flesh, so it is difficult to judge the sharpness of only the scale pattern 15 from this image. Therefore, out of the color video signal from the color ITV camera 24, only the white color of the scale pattern 15 is extracted by the color extraction circuit device 28 and subjected to binarization processing to create the extracted image shown in FIG. 3(b). Next, when both the images shown in FIGS. 3(a) and 3(b) are subjected to an AND operation by the arithmetic circuit device 30, the extracted image of only the scale pattern 15 is changed as shown in FIG. 3(c) according to the degree of contrast. appears in Next, the area and shape of the scale pattern 15 in this extracted image (length, width, etc. of the scale pattern 15)
etc. are measured by the measurement circuit device 38. Then, the visibility is determined based on this measured value, and the freshness is determined based on the determined visibility. This makes it possible to judge the freshness of tuna using objective numerical values.

【0014】次に、鮪の脂肪分量判定について説明する
。先ず、カラーITVカメラ24からのカラー映像信号
のうち、脂肪13の薄桃色のみの映像信号を色抽出回路
装置28で抽出し、そしてこの映像信号を2値化処理し
て図4(a)に示す2値化画像を作成する。前記2値化
画像は、脂肪13部分のみが抽出された画像となるので
、この画像からでは切断面の全面積に対する脂肪面積比
率が分からない。そこで、色抽出回路装置28によって
、切断面全体を表示するように色の設定範囲を広げて図
4(b)に示す画像を作成する。そして、図4(b)に
示した画像面積から図4(a)に示した2値化画像面積
の比率を前記計測回路装置38で計測する。これによっ
て、脂肪13の判定を、客観的な数値で判定することが
できる。
Next, the determination of the fat content of tuna will be explained. First, out of the color video signals from the color ITV camera 24, only the light pink video signal of the fat 13 is extracted by the color extraction circuit device 28, and then this video signal is binarized and shown in FIG. 4(a). Create the binarized image shown. Since the binarized image is an image in which only the fat 13 portion is extracted, the ratio of fat area to the total area of the cut surface cannot be determined from this image. Therefore, the image shown in FIG. 4B is created by expanding the color setting range using the color extraction circuit device 28 so as to display the entire cut surface. Then, the measurement circuit device 38 measures the ratio of the binarized image area shown in FIG. 4(a) to the image area shown in FIG. 4(b). Thereby, the fat 13 can be determined using an objective numerical value.

【0015】[0015]

【発明の効果】以上説明したように、本発明に係る鮪の
等級判別装置によれば、鮪の切断面に於ける鱗紋部分と
その他の部分とのコントラスト差及び鱗紋の色を利用し
て画像処理することにより鱗紋部分を抽出して鮪の鮮度
判定を行ない、また切断面に於ける脂肪部分とその他の
部分との色彩違いを利用して画像処理することにより脂
肪部分を抽出して脂肪分量の判定を行うようにしたので
、鮪の鮮度、脂肪分量を客観的な数値で判定することが
できる。
[Effects of the Invention] As explained above, the tuna grade discriminating device according to the present invention utilizes the contrast difference between the scale pattern and other parts of the cut surface of the tuna and the color of the scale pattern. The freshness of the tuna is determined by extracting the scale pattern by image processing, and the fat part is extracted by image processing using the difference in color between the fat part and other parts of the cut surface. Since the fat content is determined based on the method, the freshness and fat content of the tuna can be determined using objective numerical values.

【図面の簡単な説明】[Brief explanation of the drawing]

【図1】本発明に係る鮪の等級判別装置の実施例を示す
説明図
FIG. 1 is an explanatory diagram showing an embodiment of the tuna grade discrimination device according to the present invention.

【図2】鮪の切断面の説明図。FIG. 2 is an explanatory diagram of a cut surface of tuna.

【図3】鮪の鮮度判定の画像処理方法を示す説明図[Figure 3] Explanatory diagram showing an image processing method for determining the freshness of tuna

【図
4】鮪の脂肪分判定の画像処理方法を示す説明図
[Figure 4] Explanatory diagram showing an image processing method for determining the fat content of tuna

【符号の説明】[Explanation of symbols]

10…鮪の等級判別装置 12…鮪の切身 16…白色ランプ 18…白黒ITVカメラ 22…微分強調回路装置 24…カラーITVカメラ 28…色抽出回路装置 30…演算回路装置 38…計測回路装置 10...Tuna grade discrimination device 12...Tuna fillets 16...White lamp 18...Black and white ITV camera 22... Differential emphasis circuit device 24...Color ITV camera 28...Color extraction circuit device 30...Arithmetic circuit device 38...Measuring circuit device

Claims (3)

【特許請求の範囲】[Claims] 【請求項1】  鮪の切断面を照射する照明装置と、鮪
の切断面を撮影する白黒又はカラー撮像カメラと、白黒
カメラから得られる白黒映像信号を微分強調して2値化
画像に変換する微分強調回路と、鮪の切断面を撮影する
カラー撮像カメラと、カラー撮像カメラで撮像された映
像のうち特定の色成分のみを示す映像信号を抽出してそ
の映像信号を2値化画像に変換する色抽出回路と、前記
微分強調回路の2値化画像と前記色抽出回路の2値化画
像との論理積演算を行う演算回路と、演算回路で演算さ
れた画像の面積、形状等を計測する計測回路と、から成
ることを特徴とする鮪の等級判別装置。
Claim 1: An illumination device that illuminates the cut surface of the tuna, a monochrome or color imaging camera that photographs the cut surface of the tuna, and a monochrome video signal obtained from the monochrome camera that is differentially enhanced and converted into a binary image. A differential emphasis circuit, a color imaging camera that photographs the cut surface of the tuna, and a video signal showing only a specific color component from the video captured by the color imaging camera is extracted and the video signal is converted into a binary image. an arithmetic circuit that performs an AND operation between the binarized image of the differential emphasis circuit and the binarized image of the color extraction circuit, and measures the area, shape, etc. of the image computed by the arithmetic circuit. A tuna grade discriminating device characterized by comprising: a measuring circuit for detecting tuna;
【請求項2】  前記特定の色は鱗紋と呼ばれる白く略
同心円状に幾重にも分布する筋状の模様に相当する色で
あり、前記演算回路で演算された画像は抽出した鱗紋の
みを示す画像である請求項1記載の鮪の等級判別装置。
2. The specific color is a color corresponding to a white striped pattern called a scale pattern that is distributed in many layers in substantially concentric circles, and the image calculated by the calculation circuit includes only the extracted scale pattern. 2. The tuna grade discriminating device according to claim 1, wherein the tuna grade discriminating device is an image shown in FIG.
【請求項3】  前記カラー撮像カメラで撮像された映
像のうち鮪の油身の色成分のみを示す映像信号を抽出し
てその映像信号を2値化画像に変換する第2の色抽出回
路と、前記第2の色抽出回路で抽出された2値化画像の
面積、分布量等を計測する第2の計測回路と、を備えた
ことを特徴とする鮪の等級判別装置。
3. A second color extraction circuit that extracts a video signal showing only the color component of tuna oil from the video imaged by the color imaging camera and converts the video signal into a binary image; , and a second measurement circuit that measures the area, distribution amount, etc. of the binarized image extracted by the second color extraction circuit.
JP5655391A 1991-03-20 1991-03-20 Device for discriminating grade of tuna Pending JPH04291679A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP5655391A JPH04291679A (en) 1991-03-20 1991-03-20 Device for discriminating grade of tuna

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP5655391A JPH04291679A (en) 1991-03-20 1991-03-20 Device for discriminating grade of tuna

Publications (1)

Publication Number Publication Date
JPH04291679A true JPH04291679A (en) 1992-10-15

Family

ID=13030301

Family Applications (1)

Application Number Title Priority Date Filing Date
JP5655391A Pending JPH04291679A (en) 1991-03-20 1991-03-20 Device for discriminating grade of tuna

Country Status (1)

Country Link
JP (1) JPH04291679A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06258138A (en) * 1992-12-12 1994-09-16 Rwe Entsorgung Ag Method for identification of object and apparatus for execution of said method
JPH06318244A (en) * 1993-05-10 1994-11-15 Toshiba Eng Co Ltd Image processor and beef carcass judging system using the same
JP2003065961A (en) * 2001-08-29 2003-03-05 Mayekawa Mfg Co Ltd Nondestructive egg inspection apparatus
JP2004089114A (en) * 2002-09-03 2004-03-25 Hitachi Ltd Method of freight handling of body of fish, and system therefor
CN109540805A (en) * 2018-09-30 2019-03-29 湖南师范大学 Identifying meat freshness method and device

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06258138A (en) * 1992-12-12 1994-09-16 Rwe Entsorgung Ag Method for identification of object and apparatus for execution of said method
JPH06318244A (en) * 1993-05-10 1994-11-15 Toshiba Eng Co Ltd Image processor and beef carcass judging system using the same
JP2003065961A (en) * 2001-08-29 2003-03-05 Mayekawa Mfg Co Ltd Nondestructive egg inspection apparatus
JP2004089114A (en) * 2002-09-03 2004-03-25 Hitachi Ltd Method of freight handling of body of fish, and system therefor
CN109540805A (en) * 2018-09-30 2019-03-29 湖南师范大学 Identifying meat freshness method and device

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