JP2002168807A - Fruit vegetable inspecting instrument - Google Patents

Fruit vegetable inspecting instrument

Info

Publication number
JP2002168807A
JP2002168807A JP2000361613A JP2000361613A JP2002168807A JP 2002168807 A JP2002168807 A JP 2002168807A JP 2000361613 A JP2000361613 A JP 2000361613A JP 2000361613 A JP2000361613 A JP 2000361613A JP 2002168807 A JP2002168807 A JP 2002168807A
Authority
JP
Japan
Prior art keywords
ray
vegetables
fruits
cavity
fruit
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.)
Granted
Application number
JP2000361613A
Other languages
Japanese (ja)
Other versions
JP4755752B2 (en
Inventor
Masaji Fujii
正司 藤井
Kiichiro Uyama
喜一郎 宇山
Masaya Yoshida
雅也 吉田
Masashi Motoyama
正史 本山
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.)
Toshiba IT and Control Systems Corp
Original Assignee
Toshiba IT and Control Systems 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 Toshiba IT and Control Systems Corp filed Critical Toshiba IT and Control Systems Corp
Priority to JP2000361613A priority Critical patent/JP4755752B2/en
Publication of JP2002168807A publication Critical patent/JP2002168807A/en
Application granted granted Critical
Publication of JP4755752B2 publication Critical patent/JP4755752B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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Abstract

PROBLEM TO BE SOLVED: To achieve a highly accurate non-destructive evaluation of an internal hollow of fruit and vegetables by measuring a value almost proportional to the volume of the internal hollow of the fruit and vegetables. SOLUTION: An X-ray source 1 is provided to radiate an X-ray beam, an X-ray detector 3 to detect the X-ray beam 2 from the X-ray source 1 with a spatial resolving power, a conveying means 5 to move the fruit and vegetables 4 traversing the X-ray beam toward the X-ray detector 3 from the X-ray source 1 and a data processing means 7 to process a transmission image data of the fruit and vegetables 4 obtained from the X-ray detector 1. The data processing means 7 calculates the volume of the hollow by the logarithmic transform of the transmission image data of the fruit and vegetables 4, the extraction of the hollow part and the integration of pixels of the hollow part and evaluates the hollow based on the volume of the hollow.

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、例えばスイカ、メ
ロン、カボチャ、ダイコン等の青果物を検査する装置に
係り、特に青果物の内部の空洞あるいは水分の偏在、ま
た糖度等を非破壊で高精度で測定して、青果物の品質を
評価し選別できるようにした青果物検査装置に関するも
のである。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a device for inspecting fruits and vegetables such as watermelon, melon, pumpkin and radish, and more particularly to non-destructive and highly accurate non-destructive cavities or uneven distribution of water and sugar content in fruits and vegetables. The present invention relates to a fruit and vegetable inspection apparatus capable of measuring and evaluating the quality of fruit and vegetables and sorting the fruits and vegetables.

【0002】[0002]

【従来の技術】従来から、スイカ、メロン、カボチャ、
ダイコン等の青果物の空洞や水分の過小部分の有無を、
X線を用いて判定する手法としては、例えば“特開昭6
2−273087号公報”、“特開平8−242681
号公報”、“特開平11−174001号公報”、“特
開平11−211677号公報”等が、既に知られてい
る。
2. Description of the Related Art Watermelon, melon, pumpkin,
The presence or absence of cavities in vegetables and fruits such as radish and underwater content
As a method of determining using X-rays, for example, “
Japanese Patent Application Laid-Open No. 2-27387, "JP-A-8-242681"
Japanese Patent Application Laid-Open No. H11-174001, Japanese Patent Application Laid-Open No. H11-2111677, and the like are already known.

【0003】これらの手法では、青果物のX線透過画像
を作り、あるものは、透過するX線量の大小で空洞を評
価し、またあるものは、空洞部と隣接した非空洞部のコ
ントラストの大小で空洞を評価するようにしている。
[0003] In these methods, X-ray transmission images of fruits and vegetables are made, some of which evaluate cavities by the amount of transmitted X-ray, and some of which evaluate the contrast of non-cavities adjacent to cavities. Is used to evaluate the cavity.

【0004】一方、青果物の糖度を非破壊により測定す
る手法としては、例えば“特開平9−5234号公報”
等が、既に知られている。
On the other hand, as a technique for nondestructively measuring the sugar content of fruits and vegetables, for example, Japanese Patent Laid-Open No. 9-5234 discloses
Etc. are already known.

【0005】この手法は、近赤外光を青果物に当てて、
出射された光から光吸収を測定し、糖度を測定するもの
である。
In this method, near-infrared light is applied to fruits and vegetables,
The light absorption is measured from the emitted light to measure the sugar content.

【0006】[0006]

【発明が解決しようとする課題】しかしながら、上記の
ような従来の方法においては、次のような解決すべき課
題がある。
However, the above-mentioned conventional method has the following problems to be solved.

【0007】青果物、例えばスイカは、内部の空洞が細
長い平面状(ひび割れ状)に生じることが多く、透過画
像の方向によって、空洞の見え方が著しく変化する。
[0007] Fruits and vegetables, such as watermelon, often have an internal cavity formed in an elongated flat shape (cracked shape), and the appearance of the cavity changes significantly depending on the direction of the transmission image.

【0008】すなわち、従来の評価方法では、透過方向
が空洞面に沿った方向の場合には、空洞部が明るくはっ
きり見えて、空洞大と評価され、傾斜している場合に
は、空洞部は目立たず、空洞小と評価され、評価が空洞
面の方向によって著しく変化してしまうという問題があ
る。
In other words, according to the conventional evaluation method, when the transmission direction is along the cavity surface, the cavity is bright and clearly visible, is evaluated as large, and when inclined, the cavity is There is a problem that it is inconspicuous and is evaluated as a small cavity, and the evaluation significantly changes depending on the direction of the cavity surface.

【0009】また、糖度測定においては、近赤外光を用
いていることから、青果物の形状、大きさ、色等に影響
されてしまい、精度が上がらないという問題がある。
In addition, in the measurement of sugar content, since near-infrared light is used, there is a problem that the shape, size, color, and the like of fruits and vegetables are affected and accuracy is not improved.

【0010】さらに、従来の方法では、青果物の未熟あ
るいは過熟が非破壊で判定できないという問題もある。
Furthermore, the conventional method has a problem that immature or overripeness of fruits and vegetables cannot be determined without destruction.

【0011】本発明の目的は、青果物の内部の空洞の体
積に略比例した量を測定して、精度の良い青果物の内部
の空洞の評価を非破壊で行なうことが可能な青果物検査
装置を提供することにある。
An object of the present invention is to provide a fruit and vegetable inspection apparatus capable of measuring a quantity substantially proportional to the volume of a cavity inside a fruit and vegetable and accurately evaluating the cavity inside the fruit and vegetable without destruction. Is to do.

【0012】また、本発明の他の目的は、青果物の形
状、大きさ、色、等に影響されることなく、青果物の糖
度の評価を非破壊で行なうことが可能な青果物検査装置
を提供することにある。
Another object of the present invention is to provide a fruit and vegetable inspection apparatus capable of non-destructively evaluating the sugar content of a fruit and vegetable without being affected by the shape, size, color, and the like of the fruit and vegetable. It is in.

【0013】さらに、本発明の他の目的は、青果物の形
状、大きさ、色、等に影響されることなく、青果物の未
熟あるいは過熟の評価を非破壊で行なうことが可能な青
果物検査装置を提供することにある。
Still another object of the present invention is to provide a fruit and vegetable inspection apparatus capable of non-destructively evaluating immature or overripeness of fruits and vegetables without being affected by the shape, size, color, etc. of the fruits and vegetables. Is to provide.

【0014】[0014]

【課題を解決するための手段】上記の目的を達成するた
めに、請求項1に対応する発明の青果物検査装置は、X
線ビームを放射するX線源と、X線源からのX線ビーム
を空間分解能をもって検出するX線検出器と、X線源か
らX線検出器へ向かうX線ビームを横切るように青果物
を移動させる搬送手段と、X線検出器により得られた青
果物の透過画像データを処理するデータ処理手段とを備
え、データ処理手段は、青果物の透過画像データの対数
変換・空洞部抽出・空洞部画素積算による空洞体積の計
算と、当該空洞体積による空洞の評価とを行なうように
している。
In order to achieve the above object, a fruit and vegetable inspection apparatus according to the first aspect of the present invention comprises:
An X-ray source that emits a X-ray beam, an X-ray detector that detects the X-ray beam from the X-ray source with spatial resolution, and a vegetable that moves across the X-ray beam from the X-ray source to the X-ray detector And a data processing means for processing transmission image data of fruits and vegetables obtained by the X-ray detector, wherein the data processing means includes logarithmic conversion, cavity extraction, and cavity pixel integration of the transmission image data of fruits and vegetables. The calculation of the cavity volume based on the above and the evaluation of the cavity based on the cavity volume are performed.

【0015】従って、請求項1に対応する発明の青果物
検査装置においては、X線ビームを横切る青果物の透過
画像データの対数変換・空洞部抽出・空洞部画素積算に
よる空洞体積の計算と、当該空洞体積による空洞の評価
とを行なうことにより、透過画像データに対数変換を加
えて、透過長に比例する量の画像が求まり、当該画像か
ら空洞画像を抽出してこれを画素で積算することで、積
算値は空洞の体積(に比例した量)となる。この場合、
体積で評価するため、精度の良い空洞の評価を行なうこ
とができる。
Therefore, in the fruit and vegetable inspection apparatus according to the first aspect of the present invention, calculation of the cavity volume by logarithmic conversion, extraction of the cavity part, integration of the cavity pixel, and calculation of the cavity volume are performed. By performing the evaluation of the cavity by volume, a logarithmic transformation is applied to the transmission image data, an image in an amount proportional to the transmission length is obtained, the cavity image is extracted from the image, and this is integrated by pixels, The integrated value is the volume of the cavity (an amount proportional to the volume). in this case,
Since the evaluation is performed based on the volume, it is possible to accurately evaluate the cavity.

【0016】また、請求項2に対応する発明の青果物検
査装置は、X線ビームを放射するX線源と、X線源から
のX線ビームを空間分解能をもって検出するX線検出器
と、X線源からX線検出器へ向かうX線ビームを横切る
ように青果物を移動させる搬送手段と、X線検出器によ
り得られた青果物の透過画像データを処理するデータ処
理手段とを備え、データ処理手段は、青果物の透過画像
データの対数変換・空洞部抽出・空洞部画素数求出によ
る空洞面積の計算と、当該空洞面積による空洞の評価と
を行なうようにしている。
According to a second aspect of the present invention, there is provided an apparatus for inspecting fruits and vegetables, comprising: an X-ray source for emitting an X-ray beam; an X-ray detector for detecting the X-ray beam from the X-ray source with a spatial resolution; Data processing means comprising: transport means for moving fruits and vegetables across an X-ray beam from a radiation source to an X-ray detector; and data processing means for processing transmitted image data of the fruits and vegetables obtained by the X-ray detector. Calculates the cavity area by logarithmic conversion, extraction of the cavity, and calculation of the number of pixels of the cavity, and evaluation of the cavity based on the cavity area.

【0017】従って、請求項2に対応する発明の青果物
検査装置においては、X線ビームを横切る青果物の透過
画像データの対数変換・空洞部抽出・空洞部画素数求出
による空洞面積の計算と、当該空洞面積による空洞の評
価とを行なうことにより、透過画像に対数変換を加え
て、透過長に比例する量の画像が求まり、当該画像から
空洞の二値化像を抽出して、画素数から空洞部の面積
(に比例した量)を計算することで、(体積に準じて)
精度の良い空洞の評価を行なうことができる。この場
合、前記請求項1に対応する発明の体積計算に比べて、
より処理計算時間を短縮することができる。
Therefore, in the fruit and vegetable inspection apparatus according to the second aspect of the present invention, the calculation of the cavity area by logarithmic conversion, extraction of the cavity, and calculation of the number of pixels of the cavity through the transmission image data of the fruits and vegetables traversing the X-ray beam, By performing the evaluation of the cavity based on the cavity area, a logarithmic transformation is applied to the transmission image, an image in an amount proportional to the transmission length is obtained, and a binarized image of the cavity is extracted from the image, and the number of pixels is calculated. By calculating (in proportion to) the area of the cavity, (according to the volume)
Accurate evaluation of the cavity can be performed. In this case, compared to the volume calculation of the invention corresponding to claim 1,
The processing calculation time can be further reduced.

【0018】さらに、請求項3に対応する発明の青果物
検査装置は、X線ビームを放射するX線源と、X線源か
らのX線ビームを検出するX線検出器と、X線源からX
線検出器へ向かうX線ビームを横切るように青果物を移
動させる搬送手段と、X線源からのX線ビームの外に配
置され、X線源からのX線ビームが青果物に当たって散
乱する散乱線を検出する散乱線検出器と、X線検出器に
より得られた青果物の透過データ、および散乱線検出器
により得られた散乱線データを処理して、青果物の糖度
を評価するデータ処理手段とを備えている。
Further, a fruit and vegetable inspection apparatus according to a third aspect of the present invention provides an X-ray source for emitting an X-ray beam, an X-ray detector for detecting an X-ray beam from the X-ray source, and an X-ray source. X
A transport means for moving the fruits and vegetables across the X-ray beam toward the X-ray detector, and a scattered ray disposed outside the X-ray beams from the X-ray source and scattered when the X-ray beams from the X-ray source impinge on the fruits and vegetables. A scattered radiation detector to be detected, and data processing means for processing the transmission data of fruits and vegetables obtained by the X-ray detector and the scattered radiation data obtained by the scattered radiation detector to evaluate the sugar content of the fruits and vegetables. ing.

【0019】従って、請求項3に対応する発明の青果物
検査装置においては、X線ビームを横切る青果物の透過
データ、および散乱線データを処理して、青果物の糖度
を評価することにより、散乱線検出器の出力とX線検出
器の(同時刻の)出力との比を計算することで、X線強
度の補正を行なうと共に青果物による吸収を補正した散
乱の割合を求め、当該割合の大小より青果物の糖度を評
価する。この場合、X線の散乱の割合を測定するため、
青果物の形状、大きさ、色等に影響され難い評価を行な
うことができる。
Therefore, in the fruit and vegetable inspection apparatus according to the third aspect of the present invention, scattered ray detection is performed by processing the transmission data and the scattered ray data of the fruit and vegetables traversing the X-ray beam and evaluating the sugar content of the fruit and vegetable. By calculating the ratio of the output of the X-ray detector to the output of the X-ray detector (at the same time), the X-ray intensity is corrected and the ratio of the scattering corrected for the absorption by the fruits and vegetables is obtained. The sugar content is evaluated. In this case, to measure the ratio of X-ray scattering,
It is possible to perform an evaluation that is hardly influenced by the shape, size, color, and the like of the fruits and vegetables.

【0020】さらにまた、請求項4に対応する発明の青
果物検査装置は、X線ビームを放射するX線源と、X線
源からのX線ビームを検出するX線検出器と、X線源か
らX線検出器へ向かうX線ビームを横切るように青果物
を移動させる搬送手段と、X線源からのX線ビームの外
に配置され、X線源からのX線ビームが青果物に当たっ
て散乱する散乱線を検出する散乱線検出器と、X線検出
器により得られた青果物の透過データ、および散乱線検
出器により得られた散乱線データを処理して、青果物の
未熟あるいは過熟を評価するデータ処理手段とを備えて
いる。
Still further, according to a fourth aspect of the present invention, there is provided a fruit and vegetable inspection apparatus which emits an X-ray beam, an X-ray detector which detects an X-ray beam from the X-ray source, and an X-ray source. Transport means for moving the fruits and vegetables across the X-ray beam from the X-ray detector to the X-ray detector, and scattering disposed outside the X-ray beams from the X-ray source and scattering the X-ray beams from the X-ray source against the fruits and vegetables A scattered radiation detector that detects X-rays, transmission data of fruits and vegetables obtained by an X-ray detector, and data that processes scattered radiation data obtained by a scattered radiation detector to evaluate immature or overripeness of fruits and vegetables Processing means.

【0021】従って、請求項4に対応する発明の青果物
検査装置においては、X線ビームを横切る青果物の透過
データ、および散乱線データを処理して、青果物の未熟
あるいは過熟を評価することにより、前記請求項3に対
応する発明と同様に、X線の散乱の割合を求め、当該割
合の過小、過大より青果物の未熟、過熟を評価する。こ
の場合、X線の散乱の割合を測定するため、青果物の形
状、大きさ、色等に影響され難い評価を行なうことがで
きる。
Therefore, in the fruit and vegetable inspection apparatus according to the present invention, by processing transmission data and scattered ray data of the fruits and vegetables crossing the X-ray beam, the immature or overripeness of the fruits and vegetables is evaluated. Similar to the invention corresponding to the third aspect, the ratio of X-ray scattering is determined, and the immature and overripeness of the fruits and vegetables are evaluated based on whether the ratio is too small or too large. In this case, since the X-ray scattering ratio is measured, it is possible to perform an evaluation that is hardly affected by the shape, size, color, and the like of the fruits and vegetables.

【0022】[0022]

【発明の実施の形態】以下、本発明の実施の形態につい
て図面を参照して詳細に説明する。
Embodiments of the present invention will be described below in detail with reference to the drawings.

【0023】(第1の実施の形態)図1(a)および
(b)は、本実施の形態による青果物検査装置の構成例
を示す正面図および側面図である。
(First Embodiment) FIGS. 1A and 1B are a front view and a side view showing a configuration example of a fruit and vegetable inspection apparatus according to the present embodiment.

【0024】図1において、X線源であるX線管1から
発生するX線は、コリメータ9で成形されてファン状の
X線ビーム2となる。
In FIG. 1, X-rays generated from an X-ray tube 1 as an X-ray source are shaped by a collimator 9 to become a fan-shaped X-ray beam 2.

【0025】X線検出器3は、一次元の多チャンネルX
線検出器であり、X線ビーム2を空間分解能をもって検
出するように配置されている。
The X-ray detector 3 is a one-dimensional multi-channel X-ray
It is a line detector and is arranged to detect the X-ray beam 2 with a spatial resolution.

【0026】このX線検出器3は、X線の強度を検出
し、当該強度に比例したデジタルデータを出力する。
The X-ray detector 3 detects the intensity of the X-ray and outputs digital data proportional to the intensity.

【0027】被検体である青果物(本例では、スイカ)
4は、搬送手段であるコンベア5により、X線管1から
X線検出器3へ向かうX線ビーム2を横切るように搬送
される。
Fruits and vegetables (watermelon in this example) as the subject
The X-ray beam 4 is conveyed by a conveyor 5 as a conveying means so as to cross the X-ray beam 2 traveling from the X-ray tube 1 to the X-ray detector 3.

【0028】この搬送中に、X線検出器3の出力は、青
果物4の透過画像データとしてデータ処理部7に取込ま
れる。
During this transportation, the output of the X-ray detector 3 is taken into the data processing section 7 as transmission image data of the fruits and vegetables 4.

【0029】データ処理部7および表示部8は、通常の
コンピュータを用いてなるものであり、CPU、メモ
リ、ディスク、キーボード、インターフェース等からな
り、青果物4の透過画像データを処理して評価するソフ
トウェア等を記憶している。
The data processing unit 7 and the display unit 8 are formed by using a normal computer, and include a CPU, a memory, a disk, a keyboard, an interface, etc., and are software for processing and evaluating transmitted image data of the fruits and vegetables 4. Etc. are stored.

【0030】表示部8には、透過像や評価結果が表示さ
れる。
The display section 8 displays a transmission image and an evaluation result.

【0031】なお、6は遮蔽箱を示している。Reference numeral 6 denotes a shielding box.

【0032】次に、以上のように構成した本実施の形態
による青果物検査装置の作用について説明する。
Next, the operation of the fruit and vegetable inspection apparatus according to the present embodiment configured as described above will be described.

【0033】なお、ここでは、データ処理部7が行なう
処理を中心として述べる。
Here, the processing performed by the data processing unit 7 will be mainly described.

【0034】図1において、青果物4がX線ビーム2を
横切る時、コンベア5による搬送の一定ピッチ毎に、X
線検出器3の全チャンネルのデータを取り込み、横軸に
チャンネル、縦軸に搬送距離をとってデータを並べる
と、透過画像が得られる。この透過画像は、X線の強度
に比例した画像である。
In FIG. 1, when the fruits and vegetables 4 cross the X-ray beam 2, the X
When the data of all the channels of the line detector 3 is fetched and the data is arranged by taking the channel on the horizontal axis and the transport distance on the vertical axis, a transmission image can be obtained. This transmission image is an image proportional to the X-ray intensity.

【0035】次に、この透過画像Iに対数変換を加え
る。
Next, logarithmic conversion is applied to the transmission image I.

【0036】この場合、対数変換の式は、空気データ
(青果物4が無い時のデータ)をIAとして、 P=ln(IA/I) …(1) である。
In this case, the equation of the logarithmic transformation is as follows: P = ln (IA / I) (1) where IA is the air data (data when there is no fruit or vegetable 4).

【0037】この画像Pは、略青果物4の(透過経路に
沿った)透過長(に比例した値)の画像である。
This image P is an image of a transmission length (along a value proportional to the transmission length) (along the transmission path) of the fruits and vegetables 4.

【0038】次に、この画像Pに対し、画像処理を加え
る。
Next, the image P is subjected to image processing.

【0039】図2は、画像処理のデータフローを示す図
である。
FIG. 2 is a diagram showing a data flow of the image processing.

【0040】図2において、処理のステップは、S1乃
至S9のステップを番号順に行なう。
In FIG. 2, the processing steps include steps S1 to S9 in numerical order.

【0041】ステップS1:原画像Pを二値化して二値
化画像1を得る。
Step S1: An original image P is binarized to obtain a binarized image 1.

【0042】ステップS2:二値化画像1の横幅(あるい
は縦幅)から、青果物のサイズを求める。さらに、縦横
の縁から、中心座標を求める。
Step S2: The size of the fruits and vegetables is determined from the horizontal width (or vertical width) of the binarized image 1. Further, the center coordinates are obtained from the vertical and horizontal edges.

【0043】ステップS3:青果物のサイズから、シェ
ーディング補正用の元補正画像を選択する。
Step S3: An original corrected image for shading correction is selected from the size of the fruits and vegetables.

【0044】すなわち、あらかじめ計算して記憶してあ
る元補正画像から、青果物のサイズよりも少し大きい元
補正画像を選択する。
That is, an original corrected image slightly larger than the size of the fruits and vegetables is selected from the original corrected images calculated and stored in advance.

【0045】さらに、この画像を青果物4の中心座標に
合うようにずらして、補正画像を得る。
Further, this image is shifted so as to match the center coordinates of the fruits and vegetables 4 to obtain a corrected image.

【0046】ステップS4:原画像Pと補正画像とを減
算して、差画像を得る。この差画像は、(透過経路に沿
った)空洞長(に比例した値)の画像となる。
Step S4: The difference image is obtained by subtracting the original image P and the corrected image. This difference image is an image of the cavity length (along the transmission path).

【0047】ステップS5:差画像を二値化して、二値
化画像2を得る。これにより、空洞と縁が抽出される。
Step S5: The difference image is binarized to obtain a binarized image 2. Thereby, cavities and edges are extracted.

【0048】ステップS6:二値化画像1と二値化画像
2との論理和をとる。これにより、空洞のみの空洞二値
画像が抽出される。
Step S6: The logical sum of the binarized image 1 and the binarized image 2 is calculated. Thereby, a cavity binary image of only the cavities is extracted.

【0049】ステップS7:差画像と空洞二値画像との
乗算を行ない、空洞画像(空洞のみの多値画像)を得
る。
Step S7: The difference image is multiplied by the binary image of the cavity to obtain a cavity image (a multivalued image of only the cavity).

【0050】ステップS8:空洞画像の画素積算を行な
い、空洞体積(に比例する量)を求める。
Step S8: Pixel integration of the cavity image is performed, and a cavity volume (an amount proportional to the cavity volume) is obtained.

【0051】ステップS9:空洞体積と基準値とを比較
して、評価(不良品やランクの判定)を行なう。
Step S9: Evaluation (judgment of defective product or rank) is performed by comparing the cavity volume with the reference value.

【0052】以上のようにして、本実施の形態では、空
洞体積(に比例する量)を求めて評価を行なうことで、
極めて精度の良い青果物4の空洞の評価を行なうことが
できる。
As described above, in the present embodiment, the evaluation is performed by obtaining the cavity volume (an amount proportional to the cavity volume).
It is possible to evaluate the cavity of the fruits and vegetables 4 with extremely high accuracy.

【0053】すなわち、ここで空洞体積(に比例する
量)が求まるのは、透過画像Iに対数変換を加えて透過
長(に比例する量)の画像Pを求め、空洞を抽出して空
洞長(に比例する量)の空洞画像を得て、これを画素で
積算しているためである。
That is, the volume of the cavity (proportional to) is obtained here by performing logarithmic transformation on the transmission image I to obtain an image P of the transmission length (amount proportional to), extracting the cavity, and extracting the cavity length. This is because a cavity image of (amount proportional to) is obtained and is integrated by pixels.

【0054】画像Pが透過長の画像となる理由は、青果
物4のX線吸収係数をμとして、透過長Lの時のX線検
出器3の出力Iは、 I=IA・EXPe(−μ・L) …(2) となるので、Iを前記式(1)で対数変換すると、 P=μ・L …(3) となり、画像Pは透過長Lに比例することで示される。
The reason why the image P is an image having a transmission length is that the output I of the X-ray detector 3 at the transmission length L is given by I = IA · EXPe (−μ · L) ... (2) When I is logarithmically converted by the above equation (1), P = μ · L ... (3), and the image P is shown to be proportional to the transmission length L.

【0055】上述したように、本実施の形態による青果
物検査装置では、青果物4の内部の空洞の体積に略比例
した量を測定して、精度の良い青果物4の内部の空洞の
評価を非破壊で行なうことが可能となる。
As described above, the fruit and vegetable inspection apparatus according to the present embodiment measures the amount substantially in proportion to the volume of the cavity inside the fruit and vegetable 4 and accurately evaluates the cavity inside the fruit and vegetable 4 in a non-destructive manner. It is possible to do with.

【0056】(変形例1)上記実施の形態では、式
(1)の対数変換を用いるようにしたが、正確な対数変
換でなく、対数変換に近い非線型階調変換を用いるよう
にしても、上記実施の形態の場合と略同様の作用効果を
得ることができる。
(Modification 1) In the above embodiment, the logarithmic conversion of the equation (1) is used. However, a non-linear gradation conversion close to the logarithmic conversion may be used instead of the exact logarithmic conversion. Thus, substantially the same operation and effect as those of the above embodiment can be obtained.

【0057】また、図2に示す画像処理のデータフロー
において、ステップS8の代わりに、ステップS8'を
用いるようにしてもよい。
In the data flow of the image processing shown in FIG. 2, step S8 'may be used instead of step S8.

【0058】すなわち、ステップS8’では、空洞二値
画像の画素積算を行ない、空洞面積(に比例する量)を
求める。
That is, in step S8 ', pixel integration of the cavity binary image is performed to determine the cavity area (an amount proportional to the cavity area).

【0059】かかる処理を採用した場合には、体積に準
ずる量である面積で判定が行なわれる。
When such a process is adopted, the determination is made based on an area which is an amount equivalent to the volume.

【0060】実質的に、多くの場合、正確な判定が可能
であり、ステップS7の乗算を省略することができ、処
理が簡略化されて高速化を図れるという利点を有する。
Substantially, in many cases, accurate judgment can be made, and the multiplication in step S7 can be omitted, and there is an advantage that the processing is simplified and the speed can be increased.

【0061】図3は、同変形例1の構成例を示す概要図
である。
FIG. 3 is a schematic diagram showing a configuration example of the first modification.

【0062】すなわち、本変形例では、水平方向に対向
させたX線管11とX線検出器13とを付加したもので
としている。
That is, in the present modification, the X-ray tube 11 and the X-ray detector 13 which are opposed to each other in the horizontal direction are added.

【0063】なお、12はX線ビームを示している。Reference numeral 12 denotes an X-ray beam.

【0064】X線管11およびX線検出器13は、それ
ぞれ元のX線管1およびX線検出器3と同等のものであ
る。
The X-ray tube 11 and X-ray detector 13 are equivalent to the original X-ray tube 1 and X-ray detector 3, respectively.

【0065】以上のような構成の青果物検査装置におい
ては、X線検出器13による透過画像にも同じ処理を加
え、2つの判定を総合して最終判定を行なうことで、よ
り一層正確な評価を行なうことが可能となる。
In the fruit / vegetables inspection apparatus having the above-described configuration, the same processing is applied to the transmitted image by the X-ray detector 13 and the final judgment is made by integrating the two judgments, thereby providing a more accurate evaluation. It is possible to do.

【0066】(変形例2)図4は、同変形例2の構成例
を示す概要図である。
(Modification 2) FIG. 4 is a schematic diagram showing a configuration example of Modification 2.

【0067】すなわち、本変形例では、青果物4の下部
には凹部15があるが、産地や品種で大きさが異なる。
That is, in this modified example, the recess 15 is provided at the lower part of the fruit and vegetable 4, but the size differs depending on the place of production and the variety.

【0068】凹部15が大きな場合には、元補正画像を
プロフィール16のように飽和させると、シェーディン
グ補正を正確に行なうことが可能となる。
When the concave portion 15 is large, if the original corrected image is saturated like the profile 16, the shading correction can be performed accurately.

【0069】(第2の実施の形態)図5は、本実施の形
態による青果物検査装置の構成例を示す要部概要図であ
り、図1と同一部分には同一符号を付してその説明を省
略し、ここでは異なる部分についてのみ述べる。
(Second Embodiment) FIG. 5 is a schematic diagram of a main part showing a configuration example of a fruit and vegetable inspection apparatus according to the present embodiment. The same parts as those in FIG. Are omitted, and only different portions will be described here.

【0070】すなわち、本実施の形態による青果物検査
装置は、図5に示すように、図1に散乱線検出器21を
付加した構成としている。
That is, the fruit and vegetable inspection apparatus according to the present embodiment has a configuration in which a scattered radiation detector 21 is added to FIG. 1, as shown in FIG.

【0071】散乱線検出器21は、X線検出器3と同様
のX線検出器であるが、チャンネル数は少なくてもよ
い。
The scattered radiation detector 21 is an X-ray detector similar to the X-ray detector 3, but the number of channels may be small.

【0072】この散乱線検出器21は、X線検出器3に
隣接して略平行に、X線ビーム2が当たらないようにX
線ビーム2の外に配置され、青果物4に当たって散乱す
る散乱線20を検出する。
The scattered radiation detector 21 is positioned adjacent to and substantially parallel to the X-ray detector 3 so that the X-ray beam 2 does not impinge.
The scattered radiation 20 which is arranged outside the line beam 2 and scatters on the fruits and vegetables 4 is detected.

【0073】散乱線検出器21の出力は、同様に散乱画
像データとして前記データ処理部7に取込まれる。
The output of the scattered ray detector 21 is similarly taken into the data processing section 7 as scattered image data.

【0074】次に、以上のように構成した本実施の形態
による青果物検査装置の作用について説明する。
Next, the operation of the fruit and vegetable inspection apparatus according to the present embodiment configured as described above will be described.

【0075】なお、図1と同一部分の作用についてはそ
の説明を省略し、ここでは異なる部分の作用についての
み述べる。
The description of the operation of the same parts as in FIG. 1 is omitted, and only the operation of the different parts will be described here.

【0076】図5において、X線ビーム2の一部は、青
果物4に当たって全周方向に散乱されて散乱線20とな
る。このうち、前方に散乱されたものが、散乱線検出器
21で検出される。
In FIG. 5, a part of the X-ray beam 2 strikes the fruits and vegetables 4 and is scattered in the entire circumferential direction to become scattered rays 20. Among them, the scattered radiation is detected by the scattered radiation detector 21.

【0077】データ処理部7は、散乱線検出器21の1
つのチャンネルの出力をIs、X線検出器3の隣接する
チャンネルの(同時刻の)出力をIとして、Isに次の
ような強度補正を加えて、散乱の割合Is'を求める(各
チャンネルで求める)。
The data processing section 7 has a function of one of the scattered radiation detectors 21.
Assuming that the output of one channel is Is and the output of the adjacent channel of the X-ray detector 3 (at the same time) is I, the following intensity correction is applied to Is to obtain the scattering ratio Is' (for each channel) Ask).

【0078】Is'=Is/I …(4) ところで、散乱線20の1個あたりのエネルギーは、散
乱角が小さいほど大きくなり、前方散乱はX線ビーム2
とほぼ同じエネルギーである。また、前方散乱はX線ビ
ーム2とほぼ同じ経路を通るので、IsとIはほぼ同じ
減衰、すなわち青果物4のX線吸収係数をμ、透過長を
Lとして、減衰、EXPe(−μ・L)を受けている。
Is' = Is / I (4) By the way, the energy per one scattered ray 20 becomes larger as the scattering angle is smaller, and the forward scatter is smaller than the X-ray beam 2.
It is almost the same energy. Further, since the forward scattering passes through almost the same path as that of the X-ray beam 2, Is and I have almost the same attenuation, that is, the attenuation, EXPe (−μ · L), where the X-ray absorption coefficient of the fruit and vegetable 4 is μ and the transmission length is L. )Is receiving.

【0079】これにより、上記式(4)で、強度だけで
なく青果物4自体による減衰が補正できることがわか
る。
Thus, it is understood that not only the strength but also the attenuation caused by the fruits and vegetables 4 itself can be corrected by the above equation (4).

【0080】次に、Is'を、各チャンネル、および搬送
距離で平均して、青果物4の散乱の割合Rsを求める。
Next, Is ′ is averaged over each channel and the transport distance to determine the scattering ratio Rs of the fruits and vegetables 4.

【0081】図6は、同実施の形態における評価を説明
するための図である。
FIG. 6 is a diagram for explaining evaluation in the embodiment.

【0082】RsがRs1ないしRs2の場合には良品であ
り、糖度を図のグラフで求める。
When Rs is Rs1 or Rs2, it is a non-defective product, and the sugar content is determined by a graph shown in the figure.

【0083】また、RsがRs1以下の場合には未熟、Rs
2以上の場合には過熟と、それぞれ判定する。
When Rs is less than Rs1, immature, Rs
In the case of two or more, it is judged as overmaturity, respectively.

【0084】これは、糖度が高いと散乱が増え、糖度が
低いと散乱が減ることを利用している。
This utilizes the fact that when the sugar content is high, scattering increases, and when the sugar content is low, scattering decreases.

【0085】また、過熟の場含には、水分の割合が過大
となって散乱が過大となり、未熟の場含には、その逆と
なる。
In the case of overripeness, the proportion of moisture becomes excessively large, and the scattering becomes excessively. In the case of unripeness, the reverse is true.

【0086】以上のようにして、本実施の形態では、X
線の散乱を利用することで、青果物4の形状、大きさ、
色、等に影響され難い青果物4の糖度の評価を行なうこ
とができる。
As described above, in the present embodiment, X
By using the scattering of rays, the shape, size,
It is possible to evaluate the sugar content of the fruits and vegetables 4 that are hardly affected by the color and the like.

【0087】また、X線は透過能力が高いので、レーザ
ー光が透過し難い青果物4も容易に検査を行なうことが
できる。
Further, since the X-ray has a high transmission ability, it is possible to easily inspect the fruits and vegetables 4 through which the laser beam is hardly transmitted.

【0088】さらに、一つの装置で、青果物4の未熟、
過熟、および空洞の検査も行なうことができる。
Further, with one device, the immature
Testing for overmaturation and cavities can also be performed.

【0089】上述したように、本実施の形態による青果
物検査装置では、青果物4の形状、大きさ、色、等に影
響されることなく、青果物4の糖度の評価、青果物4の
未熟あるいは過熟の評価を、非破壊で行なうことが可能
となる。
As described above, in the fruit and vegetable inspection apparatus according to the present embodiment, the evaluation of the sugar content of the fruit and vegetable 4 and the immature or overripeness of the fruit and vegetable 4 are not affected by the shape, size, color, etc. of the fruit and vegetable 4. Can be evaluated nondestructively.

【0090】(変形例)上記実施の形態において、Rs
を求める時に、単純平均でなくウエイトを付けることも
できる。
(Modification) In the above embodiment, Rs
When calculating, weights can be added instead of simple averages.

【0091】すなわち、例えば透過長Lでウエイトを付
ける場合には、式 Rs=Σ(Is'・L)/Σ(L) …(5) で平均する。
That is, for example, when weighting is performed with the transmission length L, the average is calculated by the following equation: Rs = Σ (Is ′ · L) / Σ (L) (5)

【0092】ここで、Lは、 L=ln(IA/I)/μ …(6) で求める。Here, L is obtained by the following equation: L = ln (IA / I) / μ (6)

【0093】このようにした場合、散乱の割合Rsは、
略青果物4の体積平均となるため、糖度が精度良く求め
られる。
In this case, the scattering ratio Rs is
Since the volume average of the substantially fruits and vegetables 4 is obtained, the sugar content can be accurately obtained.

【0094】一方、空洞も同時に測定するため、空洞部
を除外して平均を行なうようにしてもよい。これによ
り、空洞がある青果物4に対しても、精度良く糖度が求
められる。
On the other hand, in order to measure the cavities at the same time, the averaging may be performed excluding the cavities. As a result, the sugar content can be accurately determined for the fruit and vegetable 4 having a cavity.

【0095】その他、散乱線検出器21の出力Isを用
いて、X線検出器3の出力Iに散乱線補正を加えること
ができる。
In addition, scattered radiation correction can be applied to the output I of the X-ray detector 3 using the output Is of the scattered radiation detector 21.

【0096】ここで、散乱線補正は、前記対数変換の前
に、式 I'=I−Is …(7) で行なう。
Here, the scattered radiation correction is performed by the equation I '= I-Is (7) before the logarithmic conversion.

【0097】ここで、Isは、隣接するチャンネルの出
力である。
Here, Is is the output of an adjacent channel.

【0098】これにより、透過画像が高品質となり、青
果物4の空洞の評価をより一層精度良く行なうことが可
能となる。
As a result, the quality of the transmitted image becomes high, and the evaluation of the cavity of the fruit or vegetable 4 can be performed with higher accuracy.

【0099】[0099]

【発明の効果】以上説明したように、本発明の青果物検
査装置によれば、青果物の内部の空洞の体積に略比例し
た量を測定して、精度の良い青果物の内部の空洞の評価
を非破壊で行なうことが可能となる。
As described above, according to the fruit and vegetable inspection apparatus of the present invention, an amount that is substantially proportional to the volume of the cavity inside the fruit and vegetable is measured, and the evaluation of the cavity inside the fruit and vegetable with high accuracy is performed. It can be done by destruction.

【0100】また、本発明の青果物検査装置によれば、
青果物の形状、大きさ、色、等に影響されることなく、
青果物の糖度の評価を非破壊で行なうことが可能とな
る。
Further, according to the fruit and vegetable inspection apparatus of the present invention,
Without being affected by the shape, size, color, etc. of fruits and vegetables,
It is possible to evaluate the sugar content of fruits and vegetables in a non-destructive manner.

【0101】さらに、本発明の青果物検査装置によれ
ば、青果物の形状、大きさ、色、等に影響されることな
く、青果物の未熟あるいは過熟の評価を非破壊で行なう
ことが可能となる。
Furthermore, according to the fruit and vegetable inspection apparatus of the present invention, it is possible to evaluate the immature or overripeness of fruits and vegetables in a nondestructive manner without being affected by the shape, size, color, etc. of the fruits and vegetables. .

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

【図1】本発明による青果物検査装置の第1の実施の形
態を示す正面図および側面図。
FIG. 1 is a front view and a side view showing a first embodiment of a fruit and vegetable inspection apparatus according to the present invention.

【図2】同第1の実施の形態の青果物検査装置における
画像処理のデータフローを示す図。
FIG. 2 is a view showing a data flow of image processing in the fruit and vegetable inspection apparatus according to the first embodiment.

【図3】同第1の実施の形態の青果物検査装置における
変形例1の構成例を示す概要図。
FIG. 3 is a schematic diagram illustrating a configuration example of a first modification of the fruit and vegetable inspection apparatus according to the first embodiment;

【図4】同第1の実施の形態の青果物検査装置における
変形例2の構成例を示す概要図。
FIG. 4 is an exemplary diagram showing a configuration example of a modification 2 of the fruit and vegetable inspection apparatus according to the first embodiment;

【図5】本発明による青果物検査装置の第2の実施の形
態を示す概要図。
FIG. 5 is a schematic view showing a second embodiment of the fruit and vegetable inspection apparatus according to the present invention.

【図6】同第2の実施の形態の青果物検査装置における
評価を説明するための図。
FIG. 6 is a view for explaining evaluation in the vegetable inspection apparatus according to the second embodiment;

【符号の説明】[Explanation of symbols]

1…X線管 2…X線ビーム 3…X線検出器 4…青果物(スイカ) 5…コンベア 6…遮蔽箱 7…データ処理部 8…表示部 9…コリメータ 11…X線管 12…X線ビーム 13…X線検出器 15…凹部 16…プロフィール 20…散乱線 21…散乱線検出器。 REFERENCE SIGNS LIST 1 X-ray tube 2 X-ray beam 3 X-ray detector 4 Fruits and vegetables (watermelon) 5 Conveyor 6 Shielding box 7 Data processing unit 8 Display unit 9 Collimator 11 X-ray tube 12 X-ray Beam 13: X-ray detector 15: recess 16: Profile 20: scattered radiation 21: scattered radiation detector.

───────────────────────────────────────────────────── フロントページの続き (72)発明者 宇山 喜一郎 東京都府中市晴見町2丁目24番地の1 東 芝アイティー・コントロールシステム株式 会社内 (72)発明者 吉田 雅也 東京都府中市晴見町2丁目24番地の1 東 芝アイティー・コントロールシステム株式 会社内 (72)発明者 本山 正史 東京都府中市晴見町2丁目24番地の1 東 芝アイティー・コントロールシステム株式 会社内 Fターム(参考) 2G001 AA01 BA11 BA14 CA01 DA02 DA06 DA08 DA10 FA01 FA06 FA08 HA13 JA09 JA16 KA04 KA20 LA01 PA11  ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Kiichiro Uyama 2-24-24 Harumi-cho, Fuchu-shi, Tokyo Toshiba IT Control System Co., Ltd. (72) Masaya Yoshida 2 Harumi-cho, Fuchu-shi, Tokyo In-house, Toshiba IT Control System Co., Ltd. (72) Inventor Masashi Motoyama 2-24-1, Harumi-cho, Fuchu-shi, Tokyo Toshiba IT Control System Co., Ltd. F-term (reference) 2G001 AA01 BA11 BA14 CA01 DA02 DA06 DA08 DA10 FA01 FA06 FA08 HA13 JA09 JA16 KA04 KA20 LA01 PA11

Claims (4)

【特許請求の範囲】[Claims] 【請求項1】 X線ビームを放射するX線源と、 前記X線源からのX線ビームを空間分解能をもって検出
するX線検出器と、 前記X線源から前記X線検出器へ向かうX線ビームを横
切るように青果物を移動させる搬送手段と、 前記X線検出器により得られた青果物の透過画像データ
を処理するデータ処理手段とを備え、 前記データ処理手段は、前記青果物の透過画像データの
対数変換・空洞部抽出・空洞部画素積算による空洞体積
の計算と、当該空洞体積による空洞の評価とを行なうよ
うにしたことを特徴とする青果物検査装置。
An X-ray source that emits an X-ray beam; an X-ray detector that detects the X-ray beam from the X-ray source with a spatial resolution; and an X-ray that travels from the X-ray source to the X-ray detector. Transport means for moving the fruits and vegetables across the line beam; and data processing means for processing transmission image data of the fruits and vegetables obtained by the X-ray detector, wherein the data processing means comprises transmission image data of the fruits and vegetables A fruit and vegetable inspection apparatus characterized in that a cavity volume is calculated by logarithmic conversion, cavity extraction, cavity pixel integration, and a cavity is evaluated based on the cavity volume.
【請求項2】 X線ビームを放射するX線源と、 前記X線源からのX線ビームを空間分解能をもって検出
するX線検出器と、 前記X線源から前記X線検出器へ向かうX線ビームを横
切るように青果物を移動させる搬送手段と、 前記X線検出器により得られた青果物の透過画像データ
を処理するデータ処理手段とを備え、 前記データ処理手段は、前記青果物の透過画像データの
対数変換・空洞部抽出・空洞部画素数求出による空洞面
積の計算と、当該空洞面積による空洞の評価とを行なう
ようにしたことを特徴とする青果物検査装置。
2. An X-ray source that emits an X-ray beam, an X-ray detector that detects the X-ray beam from the X-ray source with a spatial resolution, and an X-ray that travels from the X-ray source to the X-ray detector. Transport means for moving the fruits and vegetables across the line beam; and data processing means for processing transmission image data of the fruits and vegetables obtained by the X-ray detector, wherein the data processing means comprises transmission image data of the fruits and vegetables A fruit and vegetable inspection apparatus characterized in that the calculation of the cavity area by the logarithmic conversion, the extraction of the cavity, and the calculation of the number of pixels of the cavity, and the evaluation of the cavity based on the cavity area are performed.
【請求項3】 X線ビームを放射するX線源と、 前記X線源からのX線ビームを検出するX線検出器と、 前記X線源から前記X線検出器へ向かうX線ビームを横
切るように青果物を移動させる搬送手段と、 前記X線源からのX線ビームの外に配置され、前記X線
源からのX線ビームが前記青果物に当たって散乱する散
乱線を検出する散乱線検出器と、 前記X線検出器により得られた青果物の透過データ、お
よび前記散乱線検出器により得られた散乱線データを処
理して、前記青果物の糖度を評価するデータ処理手段
と、 を備えて成ることを特徴とする青果物検査装置。
3. An X-ray source that emits an X-ray beam, an X-ray detector that detects an X-ray beam from the X-ray source, and an X-ray beam traveling from the X-ray source to the X-ray detector. Conveying means for moving the fruits and vegetables so as to traverse the varieties, and a scattered ray detector arranged outside the X-ray beam from the X-ray source and detecting scattered rays scattered by the X-ray beams from the X-ray source impinging on the fruits and vegetables And a data processing means for processing the transmission data of the fruits and vegetables obtained by the X-ray detector and the scattered radiation data obtained by the scattered radiation detector to evaluate the sugar content of the fruits and vegetables. A fruit and vegetable inspection device, characterized in that:
【請求項4】 X線ビームを放射するX線源と、 前記X線源からのX線ビームを検出するX線検出器と、 前記X線源から前記X線検出器へ向かうX線ビームを横
切るように青果物を移動させる搬送手段と、 前記X線源からのX線ビームの外に配置され、前記X線
源からのX線ビームが前記青果物に当たって散乱する散
乱線を検出する散乱線検出器と、 前記X線検出器により得られた青果物の透過データ、お
よび前記散乱線検出器により得られた散乱線データを処
理して、前記青果物の未熟あるいは過熟を評価するデー
タ処理手段と、 を備えて成ることを特徴とする青果物検査装置。
4. An X-ray source that emits an X-ray beam, an X-ray detector that detects an X-ray beam from the X-ray source, and an X-ray beam that travels from the X-ray source to the X-ray detector. Conveying means for moving the fruits and vegetables so as to traverse the varieties, and a scattered ray detector arranged outside the X-ray beam from the X-ray source and detecting scattered rays scattered by the X-ray beams from the X-ray source impinging on the fruits and vegetables And data processing means for processing the transmission data of fruits and vegetables obtained by the X-ray detector and the scattered radiation data obtained by the scattered radiation detector to evaluate immature or overripeness of the fruits and vegetables. A fruit and vegetable inspection device, comprising:
JP2000361613A 2000-11-28 2000-11-28 Fruit and vegetable inspection equipment Expired - Fee Related JP4755752B2 (en)

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JP2007071789A (en) * 2005-09-08 2007-03-22 Yanmar Co Ltd Chestnut quality inspection method
CN100449309C (en) * 2005-07-11 2009-01-07 中国农业大学 Non destruction detection method of apple internal quality
CN105806743A (en) * 2016-04-28 2016-07-27 西北农林科技大学 Multi-view apple moldy core detection device and method
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CN110796025A (en) * 2019-10-09 2020-02-14 陈浩能 Fruit and vegetable freshness identification method and related products
CN110796642A (en) * 2019-10-09 2020-02-14 陈浩能 Method for determining fruit quality degree and related product

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CN110796642A (en) * 2019-10-09 2020-02-14 陈浩能 Method for determining fruit quality degree and related product
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