JP2008054817A - Meat determination method for live farm animal using ultrasonic diagnostic apparatus - Google Patents

Meat determination method for live farm animal using ultrasonic diagnostic apparatus Download PDF

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JP2008054817A
JP2008054817A JP2006233698A JP2006233698A JP2008054817A JP 2008054817 A JP2008054817 A JP 2008054817A JP 2006233698 A JP2006233698 A JP 2006233698A JP 2006233698 A JP2006233698 A JP 2006233698A JP 2008054817 A JP2008054817 A JP 2008054817A
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image
meat
state
livestock
condition
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Takayuki Kawaguchi
貴之 川口
Daisuke Hashimoto
大介 橋元
Kazuki Fujimoto
和貴 藤本
Yoshinaga Taguchi
喜祥 田口
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Nagasaki Prefectural Government
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Abstract

<P>PROBLEM TO BE SOLVED: To acquire a clear image and to improve measurement precision by eliminating noises generated due to electronic equipment or respiration while examining the condition of meat within live stocks, such as cattle, swine or the like, using ultrasonic waves, and to determine the condition of meat of a deep part by measuring the condition of meat near the surface. <P>SOLUTION: Cross sectional images of carcass are acquired by abutting an ultrasonic wave emitting section 11 equipped with an acceleration sensor or a gyro sensor 12 on a farm animal. The acquired images are converted into digital image signals, and the images are discriminated between respiration conditions on the basis of information of the acceleration sensor or gyro sensor 12. Images 27 of a specific identical condition are then extracted from images of each respiration condition, and are subjected to image filter processing to eliminate noises due to electronic equipment and respiration. The condition of meat is determined on the basis of a clear image thus acquired. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

この発明は、生きている牛や豚などの家畜の内部の肉の状態を超音波で調べる技術に係り、特に、電子機器や呼吸によって生じるノイズを除去することで、画像を鮮明にして測定精度を高め、また、表面近くの肉の状態の測定から深い部分にある肉の状態を推定する超音波診断装置を用いた家畜の生体時肉判定法に関するものである。   The present invention relates to a technique for ultrasonically examining the state of meat inside livestock such as live cattle and pigs, and in particular, by removing noise caused by electronic equipment and breathing, the image is sharpened and measurement accuracy is improved. In addition, the present invention relates to a live meat determination method for livestock using an ultrasonic diagnostic apparatus that estimates the state of meat in a deep part from measurement of the state of meat near the surface.

現在、生体時に牛などの家畜の枝肉性状(胸最長筋面積、僧帽筋形状、皮下脂肪厚など)および肉質(胸最長筋内の脂肪交雑)を判定する際は、食用動物用の超音波診断装置を用いて枝肉横断面の超音波画像を撮影し、過去に撮影した超音波画像とその家畜との枝肉成績をもとに判定している。   Currently, when determining the carcass characteristics (longest chest muscle area, trapezius muscle shape, subcutaneous fat thickness, etc.) and meat quality (breast crossing in the longest breast muscle) of livestock such as cattle when living, ultrasound for food animals An ultrasonic image of a carcass transverse section is taken using a diagnostic apparatus, and determination is made based on the carcass performance of the ultrasonic image taken in the past and the livestock.

しかしながら、専門家は超音波で撮影した画像を見て、生きている牛の内部の枝肉性状や肉質などの肉の状態を判断しているが、現実には3〜5割程しか正確には判断できなかった。
これは、超音波での撮影時に、牛舎で使用されている電子機器の影響でノイズが生じ、また、牛は超音波撮影時に呼吸しており、その呼吸で牛の内部の肉は膨縮し、これらに起因して画像が不鮮明になり、不鮮明な画像を通じての判断のために、上記のように判断レベルが低いという問題があった。
また、超音波発信器を当てる体の表面から距離のある深い部分にある肉の状態を計測したい場合には、超音波は距離が長くなると減衰し、得られる画像が不鮮明になるという性質があり、超音波を使っての計測は困難と考えられる。
However, experts judge the state of meat such as carcass properties and meat quality inside live cattle by looking at images taken with ultrasound, but in reality, only about 30 to 50% is accurate. I couldn't judge.
This is because noise is generated due to the influence of electronic equipment used in the barn when shooting with ultrasound, and the cow breathes during ultrasound shooting, and the meat inside the cow expands and contracts due to that breathing. As a result, there is a problem that the image becomes unclear and the determination level is low as described above for the determination through the unclear image.
In addition, when measuring the state of meat in a deep part at a distance from the surface of the body to which the ultrasonic transmitter is applied, the ultrasonic wave is attenuated as the distance becomes longer, and the obtained image becomes unclear. Measurement using ultrasonic waves is considered difficult.

この発明は、上記のような課題に鑑み、その課題を解決すべく創案されたものであって、その目的とするところは、生きている牛や豚などの家畜の内部の肉の状態を超音波で調べるに当たり、電子機器や呼吸によって生じるノイズを除去することで、画像を鮮明にして測定精度を高め、また、表面近くの肉の状態の測定から深い部分にある肉の状態を推定することのできる超音波診断装置を用いた家畜の生体時肉判定法を提供することにある。   In view of the above-described problems, the present invention has been devised to solve the problems. The object of the present invention is to exceed the state of meat inside live animals such as live cattle and pigs. When examining with sound waves, by removing noise caused by electronic equipment and breathing, the image is sharpened and measurement accuracy is improved, and the state of the meat in the deep part is estimated from the measurement of the state of the meat near the surface An object of the present invention is to provide a live meat determination method for livestock using an ultrasonic diagnostic apparatus.

以上の目的を達成するために、請求項1の発明は、超音波診断装置の超音波発射部を家畜に当てて撮影した家畜の枝肉横断面の画像を、デジタル映像信号に変換し、画像フィルタ処理して画像に含まれるノイズを除去し得られる画像を鮮明にして肉の状態を診断する手段よりなるものである。   In order to achieve the above object, the invention according to claim 1 converts an image of a carcass cross-section of a domestic animal taken by placing the ultrasonic emission unit of the ultrasonic diagnostic apparatus on the domestic animal into a digital video signal, and an image filter. The image processing apparatus comprises means for diagnosing the state of meat by clarifying an image obtained by removing noise contained in the image.

また、請求項2の発明は、超音波診断装置の超音波発射部に加速度センサーもしくはジャイロセンサーを取り付け、加速度センサーもしくはジャイロセンサーを取り付けた超音波発射部を家畜に当てて撮影した家畜の枝肉横断面の画像を、デジタル映像信号に変換し、加速度センサーもしくはジャイロセンサーの情報から家畜の呼吸状態の各画像を区別し、呼吸状態の各画像から特定の同じ状態の画像を抽出して画像フィルタ処理して画像に含まれる電子機器ノイズ及び呼吸ノイズを除去し得られる画像を鮮明にして肉の状態を診断する手段よりなるものである。   According to a second aspect of the present invention, an accelerometer or a gyro sensor is attached to an ultrasonic wave emission part of an ultrasonic diagnostic apparatus, and the carcass crossing of a livestock photographed by applying the ultrasonic wave emission part to which the acceleration sensor or the gyro sensor is attached to livestock. The image of the surface is converted into a digital video signal, each image of the respiration state of the livestock is distinguished from the information of the acceleration sensor or gyro sensor, and the image of the same specific state is extracted from each image of the respiration state and image filtering Thus, the image is obtained by removing the electronic device noise and the breathing noise contained in the image, and the means for diagnosing the state of the meat is provided.

以上の記載より明らかなように、請求項1の発明に係る超音波診断装置を用いた家畜の生体時肉判定法によれば、画像フィルタ処理して画像に含まれるノイズを除去することで画像を鮮明にでき、これまでのノイズを含んだ状態の画像を調べる場合に比べて、専門家はより正確に肉の状態を判断することが可能となり、生体時の牛豚の家畜の肉の測定精度を高めることができる。これにより、農家或いはその指導員は、今後の牛豚の家畜の飼育方法向上のために利用でき、より良質な食用肉の生産が可能になる。   As is clear from the above description, according to the livestock meat judging method using the ultrasonic diagnostic apparatus according to the first aspect of the present invention, the image is filtered to remove noise contained in the image. Compared to examining images with noise in the past, specialists can more accurately determine the state of meat and measure live meat of cattle and pigs in vivo Accuracy can be increased. As a result, the farmer or his / her instructor can be used to improve the breeding method of cattle and pigs in the future, and can produce higher quality edible meat.

また、請求項2の発明に係る超音波診断装置を用いた家畜の生体時肉判定法によれば、画像フィルタ処理して画像に含まれるノイズ、特に呼吸ノイズを除去することで画像を鮮明にでき、これまでの呼吸ノイズを含んだ状態の画像を調べる場合に比べて、専門家はより正確に肉の状態を判断することが可能となり、生体時の牛豚の家畜の肉の測定精度を高めることができる。これにより、農家或いはその指導員は、今後の牛豚の家畜の飼育方法向上のために利用でき、より良質な食用肉の生産が可能になる。   In addition, according to the live-animal living body meat determination method using the ultrasonic diagnostic apparatus according to the invention of claim 2, the image is sharpened by removing noise contained in the image, particularly respiratory noise, by image filtering. This makes it possible for experts to more accurately determine the state of meat compared to the case of examining images that contain respiratory noise so far. Can be increased. As a result, the farmer or his / her instructor can be used to improve the breeding method of cattle and pigs in the future, and can produce higher quality edible meat.

以下、図面に記載の発明を実施するための最良の形態に基づいて、この発明をより具体的に説明する。
ここで、図1は超音波診断装置とパソコンの概略構成図、図2は加速度による牛の呼吸状態と時間との関係図、図3は各デジタル画像の輝度と時間との関係図である。
Hereinafter, the present invention will be described more specifically based on the best mode for carrying out the invention described in the drawings.
Here, FIG. 1 is a schematic configuration diagram of an ultrasonic diagnostic apparatus and a personal computer, FIG. 2 is a relationship diagram of the respiration state of a cow by acceleration and time, and FIG. 3 is a relationship diagram of brightness and time of each digital image.

図において、超音波診断装置を用いた家畜の生体時肉判定法においては、超音波診断装置1とパソコン2が使用される。超音波診断装置1にはプローブといわれる超音波発射部11が配線コードを通じて接続されている。   In the figure, an ultrasonic diagnostic apparatus 1 and a personal computer 2 are used in a livestock meat judging method using an ultrasonic diagnostic apparatus. An ultrasonic emission unit 11 called a probe is connected to the ultrasonic diagnostic apparatus 1 through a wiring cord.

超音波発射部11は測定する家畜例えば牛の表面に押し当てて牛の内部に超音波を発射する機器である。この超音波発射部11には必要に応じて加速度センサーもしくはジャイロセンサー12が取り付けられている。加速度センサーもしくはジャイロセンサー12は牛の呼吸の状態を検出する機器で、呼吸によって生じるノイズを除去したい場合には取り付けられるが、超音波発射部11に取り付けられずに別々に使用されることもある。記録媒体13は超音波診断装置1で得られた画像情報と加速度センサーもしくはジャイロセンサー12で得られた呼吸情報を録画するための媒体で、例えばDVDが使用される。この記録媒体13は図示しない記録装置を使って記録される。   The ultrasonic emission unit 11 is a device that presses against the surface of a livestock to be measured, for example, a cow and emits ultrasonic waves into the cow. An acceleration sensor or a gyro sensor 12 is attached to the ultrasonic wave emitting unit 11 as necessary. The acceleration sensor or the gyro sensor 12 is a device that detects the respiration state of the cow, and is attached when it is desired to remove noise caused by respiration, but it may be used separately without being attached to the ultrasonic wave emitting unit 11. . The recording medium 13 is a medium for recording image information obtained by the ultrasonic diagnostic apparatus 1 and respiration information obtained by the acceleration sensor or the gyro sensor 12, and a DVD is used, for example. The recording medium 13 is recorded using a recording device (not shown).

パソコン2には、例えばインターフェース21,画面22,CPU23,ハードディスク24,RAM25などが含まれ、また記録媒体13の図示しない読み取り装置が接続されている。パソコン2には読み込んだ超音波診断装置1で得られた画像情報と加速度センサーもしくはジャイロセンサー12で得られた呼吸情報から、画像フィルタ処理手段を通じて電子機器によるノイズと呼吸によって生じるノイズの除去を行うソフトが組み込まれている。   The personal computer 2 includes, for example, an interface 21, a screen 22, a CPU 23, a hard disk 24, a RAM 25, and the like, and a reading device (not shown) for the recording medium 13 is connected. The personal computer 2 removes the noise generated by the electronic device and the noise caused by the respiration from the image information obtained by the ultrasonic diagnostic apparatus 1 and the respiration information obtained by the acceleration sensor or the gyro sensor 12 through the image filter processing means. Software is incorporated.

次に、超音波診断装置を用いた家畜の生体時肉判定法について以下説明する。
超音波診断装置1を畜舎に持ち込み、牛豚などの家畜の例えば牛の肩部分から尻尾側に向かって10cm程離れた部分に、超音波診断装置1のプローブという超音波発射部11の先端を密着させ、超音波診断装置1のスイッチを入れて、枝肉横断面の超音波画像を撮影する。
Next, the live meat determination method for livestock using an ultrasonic diagnostic apparatus will be described below.
The ultrasonic diagnostic apparatus 1 is brought into a barn, and the tip of the ultrasonic emission unit 11, which is a probe of the ultrasonic diagnostic apparatus 1, is placed on a portion of livestock such as a cow pig, for example, about 10 cm away from the shoulder portion of the cow toward the tail side. Then, the ultrasonic diagnostic apparatus 1 is turned on and an ultrasonic image of the carcass cross section is taken.

スイッチを入れると、超音波診断装置1の画面上に牛の内部の枝肉横断面の超音波画像、つまり牛の内部の枝肉性状又は肉質がアナログ画像として映し出される。このアナログ画像の状態で又はこれをデジタル変換したデジタル画像の状態で例えばDVDなどの記録媒体13に録画する。録画するのは畜舎とパソコン2機器の設置箇所とは一般に離れているためである。そして、録画した画像をアダプターでパソコン2に読み込める信号に変換した後に、つまりデジタル画像に変換してパソコン2に読み込む。   When the switch is turned on, an ultrasonic image of the carcass cross section inside the cow, that is, the carcass property or meat quality inside the cow, is displayed on the screen of the ultrasonic diagnostic apparatus 1 as an analog image. Recording is performed on the recording medium 13 such as a DVD in the state of this analog image or in the state of a digital image obtained by digitally converting the analog image. The reason for recording is that the barn is generally separated from the installation location of the PC 2 device. The recorded image is converted into a signal that can be read into the personal computer 2 by the adapter, that is, converted into a digital image and read into the personal computer 2.

ところで、パソコン2で読み込んだデジタル画像には、種々のノイズが含まれている。例えば超音波診断装置1本体や畜舎の周辺にある電子機器から生じる機器ノイズや、測定する牛の呼吸によって生じる呼吸ノイズなどが含まれている。   By the way, the digital image read by the personal computer 2 includes various noises. For example, device noise generated from an electronic device in the vicinity of the main body of the ultrasonic diagnostic apparatus 1 or a barn, breathing noise generated by breathing of a cow to be measured, and the like are included.

そこで、パソコン2上で、読み込んだデジタル画像中に含まれるこれらのノイズの除去を行う。ノイズの除去方法として、画像フィルタ処理を利用して処理する。このため、パソコン2にはノイズを除去する画像フィルタ処理手段を行うソフトが組み込まれている。   Therefore, these noises included in the read digital image are removed on the personal computer 2. As a noise removal method, processing is performed using image filter processing. For this reason, the personal computer 2 incorporates software for performing image filter processing means for removing noise.

機器ノイズの画像フィルタ処理の一つの手法である移動平均を利用した移動平均処理手段は次のような手段からなる。
デジタル画像26を複数コマ、1秒当たり60コマの例えば0.5秒分の30コマ分のデジタル画像26を平均処理する。
Moving average processing means using moving average, which is one method of device noise image filtering, includes the following means.
The digital image 26 is averaged over a plurality of frames, for example, 60 frames per second, for example, 30 frames corresponding to 0.5 seconds.

この30コマのデジタル画像26中にはノイズが入っているコマとノイズが無いコマがあるが、牛の内部の枝肉性状又は肉質の部分は30コマの全てに写されている。つまり、ノイズの部分は30コマ中には入っていたり無かったりする。例えば30コマ中にノイズが含まれるコマが3コマの場合、30コマを平均処理すると、ノイズ部分は10分の1になり、デジタル画像26としては目立たなくなる。   In the 30-frame digital image 26, there are a frame with noise and a frame without noise, but the carcass property or meat quality inside the cow is shown in all 30 frames. That is, the noise part may or may not be included in 30 frames. For example, in the case where three frames include noise in 30 frames, if 30 frames are averaged, the noise portion becomes 1/10 and becomes inconspicuous as the digital image 26.

このノイズ処理を行わないと、30コマ中に3コマのノイズが含まれる場合、例え0.5秒の間に10分の1ではあるが、画像として見たときにノイズが認識され易いのである。   If this noise processing is not performed, when 3 frames of noise are included in 30 frames, the noise is easily recognized when viewed as an image, although it is 1/10 in 0.5 seconds. .

画像フィルタ処理の一つの手法である移動平均処理を行うことにより、平均化されたデジタル画像26の30コマを得る。この30コマの画像は全て平均化された同一の画像となる。つまり、30コマの全てのデジタル画像26には10分の1に所謂薄められたノイズが含まれることになる。   30 frames of the averaged digital image 26 are obtained by performing moving average processing, which is one method of image filter processing. These 30 frames are all the same averaged image. That is, all the digital images 26 of 30 frames contain so-called diluted noise in 1/10.

呼吸ノイズの画像フィルタ処理の一つの手法である移動平均を利用した移動平均処理手段は次のような手段からなる。
超音波発射部11に取り付けた加速度センサーもしくはジャイロセンサー12により牛の呼吸状態が計測される。牛の呼吸状態は例えば図2に示すように、山と谷を交互に繰り返す波形になる。この波形から同じ状態に位置する部分の画像のみを集める。例えば非呼吸時の最小位置となる谷部分の画像のみ、最大呼吸時の最大位置となる山部分の画像のみ、或いは呼吸途中の特定位置の画像のみ、などの各画像から特定の同じ状態の画像27のみを少なくとも2箇所以上抽出する。抽出箇所は多い方がよいが、計測される牛はせいぜい10秒〜20秒しかじっとしていることができず、それ以上になると動いて計測位置がずれ、抽出箇所は多くて5〜6箇所である。
Moving average processing means using moving average, which is one method of image filtering for respiratory noise, includes the following means.
The breathing state of the cow is measured by an acceleration sensor or a gyro sensor 12 attached to the ultrasonic wave emitting unit 11. For example, as shown in FIG. 2, the respiration state of the cow has a waveform in which peaks and valleys are alternately repeated. Only the image of the part located in the same state is collected from this waveform. For example, only the image of the valley portion that is the minimum position during non-breathing, only the image of the mountain portion that is the maximum position during maximum breathing, or only the image of a specific position during breathing, an image in the same specific state Extract only 27 at least two locations. It is better that there are many extraction points, but the measured cow can not stay still for 10 to 20 seconds at most, and when it is longer, it moves and the measurement position shifts, and there are at most 5 to 6 extraction points. is there.

そして、特定の同じ状態の画像27、例えば非呼吸時の最小位置となる谷部分の画像のみを集める。非呼吸時のデジタル画像を複数コマ、1秒当たり60コマの例えば0.5秒分の30コマ分の画像を平均処理する。   Then, only the images 27 in a specific same state, for example, images of valley portions that are the minimum position during non-breathing are collected. A non-breathing digital image is averaged over a plurality of frames of 60 frames per second, for example, 30 frames of 0.5 seconds.

この非呼吸時の30コマの画像は、呼吸時の各画像と微妙に異なっている。即ち、牛が呼吸することにより、内部の肉は膨縮することになり、非呼吸時と呼吸時では内部の肉の膨縮状態に相違が生じ、非呼吸時と呼吸時とを合わせて平均処理すると呼吸による影響が現れるが、各画像から特定の同じ状態の画像27のみを抽出して平均処理した場合には呼吸による影響を排除できる。   This 30-frame image during non-breathing is slightly different from each image during breathing. That is, when the cow breathes, the internal meat expands and contracts, and there is a difference in the expansion and contraction state of the internal meat between non-breathing and breathing. When processed, the influence of respiration appears, but if only an image 27 in a specific same state is extracted from each image and averaged, the influence of respiration can be eliminated.

移動平均処理に続いて、二値化処理を行う。ノイズの画像フィルタ処理の一つの手法である二値化処理を利用した二値化処理手段は次のような手段からなる。
画像フィルタ処理の一つの手法である二値化処理は、ある明るさを基準として、それ以上明るい場合は「明」とし、それ以下の場合には「暗」とする。明るさとしては、例えば120〜130輝度の明るさの度合いを基準とし、120〜130輝度以上であれば「明」とし、それ以下であれば「暗」とする。
Following the moving average process, a binarization process is performed. The binarization processing means using the binarization processing, which is one method of noise image filter processing, includes the following means.
In the binarization process, which is one of the image filter processes, “bright” is used when the brightness is higher than a certain brightness, and “dark” is set when the brightness is lower. As the brightness, for example, the brightness level of 120 to 130 brightness is set as a reference, and “120” or more is set to “bright” if the brightness is 120 to 130 brightness or more, and “dark” is set otherwise.

30コマの画像中にはノイズが含まれるコマは半分以下のため平均化すると、ノイズ部分は平均より小さくなる。このため、これを二値化処理した場合には、基準値よりも小さくなって「暗」の状態になって消滅することになる。このようにして、ノイズを除去することができる。   Since 30 frames contain less than half of the frames containing noise, the noise portion becomes smaller than the average when averaged. For this reason, when this is binarized, it becomes smaller than the reference value and becomes “dark” and disappears. In this way, noise can be removed.

これに対して、牛の内部の枝肉性状又は肉質の部分は30コマの全てに現れているので、平均化しても全てのコマに薄められることなく同一の濃さで現れ、二値化処理してもその明暗の影響を受けることなく、そのままの明暗の画像が得られるのである。   On the other hand, the carcass property or meat quality inside the cow appears in all 30 frames, so even if averaged, it appears in the same density without being diluted in all frames, and binarized. However, it is possible to obtain a light and dark image as it is without being affected by the light and dark.

ところで、この二値化処理のときには、枝肉性状と肉質とを調べる場合とで異なることがある。   By the way, at the time of this binarization process, it may differ with the case where a carcass property and meat quality are investigated.

肉の大きさとか脂肪の厚さとか肉の形状を調べる枝肉性状の場合は、基準輝度を変えながら調べる。これは、枝肉性状の場合は基準輝度を変えないと、例えば胸最長筋面積、僧帽筋形状、皮下脂肪厚などが明確にならないからである。   In the case of carcass properties that examine the size of meat, the thickness of fat, and the shape of meat, the examination is performed while changing the reference luminance. This is because, in the case of carcass characteristics, unless the reference luminance is changed, for example, the breast longest muscle area, trapezius muscle shape, subcutaneous fat thickness, etc. cannot be clarified.

枝肉性状を調べる場合、パソコン上で二値化処理された画像の輝度を例えば120に設定し、この基準で二値化された画像を調べる。次に輝度を121に設定しこの基準で二値化された画像を調べる。このように順次、輝度を例えば120〜130の範囲で変えながら画像を調べることで、専門家は枝肉性状を診断するのである。   When examining the carcass properties, the luminance of the binarized image on the personal computer is set to 120, for example, and the binarized image is examined based on this criterion. Next, the luminance is set to 121, and an image binarized by this reference is examined. In this way, by sequentially examining the image while changing the luminance in the range of 120 to 130, for example, the expert diagnoses the carcass characteristics.

これに対して、肉質を調べる場合、輝度を例えば125に固定して画像を調べ、肉質を診断する。肉質については、どの輝度を基準にするかで変わり、調べる者の経験と勘に頼る部分があるからである。今後は、この二値化されたデータと実際の肉質の相関を調査して、最適な輝度の基準値が得られるように持って行くことが必要である。   On the other hand, when examining the meat quality, the brightness is fixed at, for example, 125, the image is examined, and the meat quality is diagnosed. This is because the meat quality changes depending on which luminance is used as a standard, and there are parts that depend on the experience and intuition of the person who examines it. In the future, it will be necessary to investigate the correlation between the binarized data and the actual meat quality, and to bring it to the optimum luminance reference value.

なお、この発明は上記発明を実施するための最良の形態に限定されるものではなく、この発明の精神を逸脱しない範囲で種々の改変をなし得ることは勿論である。   Note that the present invention is not limited to the best mode for carrying out the invention, and various modifications can be made without departing from the spirit of the invention.

生体時の豚の肉の状態を判断する場合にも適用可能である。   The present invention is also applicable when judging the state of pork meat at the time of living.

この発明を実施するための最良の形態を示す超音波診断装置とパソコンの概略構成図である。1 is a schematic configuration diagram of an ultrasonic diagnostic apparatus and a personal computer showing the best mode for carrying out the present invention. この発明を実施するための最良の形態を示す加速度による牛の呼吸状態と時間との関係図である。It is a relationship figure of the respiration state of the cow by the acceleration which shows the best form for carrying out this invention, and time. この発明を実施するための最良の形態を示す各デジタル画像の輝度と時間との関係図である。It is a relationship diagram of the brightness | luminance and time of each digital image which shows the best form for implementing this invention.

符号の説明Explanation of symbols

1 超音波診断装置
11 超音波発射部
12 加速度センサーもしくはジャイロセンサー
13 記録媒体
2 パソコン
21 インターフェース
22 画面
23 CPU
24 ハードディスク
25 RAM
26 デジタル画像
27 特定の同じ状態の画像
DESCRIPTION OF SYMBOLS 1 Ultrasonic diagnostic apparatus 11 Ultrasonic emission part 12 Acceleration sensor or gyro sensor 13 Recording medium 2 Personal computer 21 Interface 22 Screen 23 CPU
24 hard disk 25 RAM
26 Digital image 27 Image of the same specific state

Claims (2)

超音波診断装置の超音波発射部を家畜に当てて撮影した家畜の枝肉横断面の画像を、デジタル映像信号に変換し、画像フィルタ処理して画像に含まれるノイズを除去し得られる画像を鮮明にして肉の状態を診断することを特徴とする超音波診断装置を用いた家畜の生体時肉判定法。 The image of the carcass cross-section taken by placing the ultrasound emitting part of the ultrasound diagnostic device on livestock is converted into a digital video signal, and image filtering is performed to remove the noise contained in the image. A method for judging meat of living animals using an ultrasonic diagnostic apparatus, characterized in that the state of meat is diagnosed as follows. 超音波診断装置の超音波発射部に加速度センサーもしくはジャイロセンサーを取り付け、加速度センサーもしくはジャイロセンサーを取り付けた超音波発射部を家畜に当てて撮影した家畜の枝肉横断面の画像を、デジタル映像信号に変換し、加速度センサーもしくはジャイロセンサーの情報から家畜の呼吸状態の各画像を区別し、呼吸状態の各画像から特定の同じ状態の画像を抽出して画像フィルタ処理して画像に含まれる電子機器ノイズ及び呼吸ノイズを除去し得られる画像を鮮明にして肉の状態を診断することを特徴とする超音波診断装置を用いた家畜の生体時肉判定法。 An image of the carcass cross-section of a livestock photographed by attaching an acceleration sensor or gyro sensor to the ultrasonic emission part of the ultrasonic diagnostic equipment and shooting the ultrasonic emission part with the acceleration sensor or gyro sensor attached to the livestock is converted into a digital video signal. Converts and distinguishes each image of livestock breathing state from information of acceleration sensor or gyro sensor, extracts an image of the same specific state from each image of breathing state and performs image filter processing to electronic device noise included in the image And a live meat determination method for livestock using an ultrasonic diagnostic apparatus characterized by diagnosing the state of meat by clarifying an image obtained by removing respiratory noise.
JP2006233698A 2006-08-30 2006-08-30 Meat determination method for live farm animal using ultrasonic diagnostic apparatus Ceased JP2008054817A (en)

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