JPS63104189A - Drawing read system - Google Patents

Drawing read system

Info

Publication number
JPS63104189A
JPS63104189A JP24942086A JP24942086A JPS63104189A JP S63104189 A JPS63104189 A JP S63104189A JP 24942086 A JP24942086 A JP 24942086A JP 24942086 A JP24942086 A JP 24942086A JP S63104189 A JPS63104189 A JP S63104189A
Authority
JP
Japan
Prior art keywords
basic
elements
specific
dictionary
storage means
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
JP24942086A
Other languages
Japanese (ja)
Inventor
Yasuhiko Terao
寺尾 保彦
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.)
Mitsubishi Electric Corp
Original Assignee
Mitsubishi Electric 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 Mitsubishi Electric Corp filed Critical Mitsubishi Electric Corp
Priority to JP24942086A priority Critical patent/JPS63104189A/en
Publication of JPS63104189A publication Critical patent/JPS63104189A/en
Pending legal-status Critical Current

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Abstract

PURPOSE:To speed up processing by expressing a figure that an operator wants to specify by basic graphic elements such as straight lines, circles, triangles and rectangles and recognizing the figure. CONSTITUTION:A binarization means 12 binarizes the figure read out of a drawing 11 into binary picture data. A binary picture memory means 13 stores the data and hands it to a basic graphic element recognition means 14. First, it converts the binary picture data into short vector data, obtains vector data from the former vector data and recognizes basic graphic elements. The elements that are recognized as straight lines, circles, arcs, triangles and rectangles, and parameters such as coordinates and sizes are stored in a drawing basic graphic element group storage means 15. A specific figure recognition means 14 compares a set of the basic graphic elements that the drawing basic graphic element group storage means 15 reads out of the figure with a set of basic graphic elements of a specific figure in a dictionary, which is outputted from a dictionary storage means 16, calculates a degree of similarity and the difference, evaluates the difference, and recognizes the specific figure.

Description

【発明の詳細な説明】 〔産業上の利用分野〕 この発明は、図面中の所定の図形を検出してその形状を
認識する図面読取方式に関するものである。
DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a drawing reading method for detecting a predetermined figure in a drawing and recognizing its shape.

〔従来の技術〕[Conventional technology]

第7図は例えば情報処理振興協会技術センター報告1F
59技−043に示された従来の図面読取方式を示す判
定木の構成図であり、図において、1は2値画像データ
からその特徴量の抽出を行なう特徴抽出ボックス、2は
特徴量によって特定図形の分類を行なう判定ボックスで
、階層構造をなしており、前記特徴抽出ボックス1から
の前記特徴量は最上階層の判定ボックス2が受取る。3
は各々が分類された特定図形のシンボルを1グループず
つ保有してパターンマツチングを行うマンチングボック
スで、最下階層の前記判定ボックス2の各分岐対応に設
けられている。
Figure 7 shows, for example, Information-technology Promotion Association Technology Center Report 1F.
This is a configuration diagram of a decision tree showing the conventional drawing reading method shown in 59 technique-043. In the figure, 1 is a feature extraction box that extracts the feature from binary image data, and 2 is a These are decision boxes for classifying figures, and have a hierarchical structure, and the feature quantity from the feature extraction box 1 is received by the decision box 2 at the top level. 3
is a munching box that performs pattern matching by holding one group of classified specific graphic symbols, and is provided corresponding to each branch of the judgment box 2 in the lowest hierarchy.

次に動作について説明する。図面から読取られた所定の
図形は2値画像データとして特徴抽出ボックス1へ送ら
れる。特徴抽出ボックス1では受取った2値画像データ
を細線化してベクトルデータを作成した後に、閉曲線数
、開端点数などの特微量を抽出し、これを最上階層の判
定ボックス2へ渡す。判定ボックス2では前記所定の図
形をその特微量に基づいて階層毎に順次分岐させてゆき
、最下階層の判定ボックス2よりマツチングボックス3
01つに渡す。
Next, the operation will be explained. A predetermined figure read from the drawing is sent to the feature extraction box 1 as binary image data. The feature extraction box 1 thins the received binary image data to create vector data, then extracts feature quantities such as the number of closed curves and the number of open end points, and passes this to the determination box 2 at the top layer. In the judgment box 2, the predetermined figure is sequentially branched for each layer based on its characteristic amount, and the matching box 3 is selected from the judgment box 2 in the lowest layer.
Pass it to 01.

このようにして前記所定の図形が渡されたマツチングボ
ックス3では、これと保有しているグループのシンボル
とのパターンマツチングを行すって、前記所定の図形の
シンボルを特定し認識する。
The matching box 3 to which the predetermined figure has been passed in this manner performs pattern matching between this and the symbols of the group it holds, thereby specifying and recognizing the symbol of the predetermined figure.

〔発明が解決しようとする問題点〕[Problem that the invention seeks to solve]

従来の図面読取方式は以上のように構成されているので
、認識したい特定図形種を追加しようとする場合、特微
量の判定の種類や数、さらにはパターンマツチングのた
めのシンボルのグループ数等を増やさなければならず、
その都度具体的手段を再検討することが必要になり、ま
た認識対象領域をいちいち切出さなければならないなど
の問題点があった。
Conventional drawing reading methods are configured as described above, so when you want to add a specific figure type that you want to recognize, you need to know the type and number of feature quantity determinations, as well as the number of symbol groups for pattern matching. must be increased,
There were problems such as the need to reconsider the specific method each time, and the recognition target area had to be extracted one by one.

この発明は上記のような問題点を解消するためになされ
たもので、特定図形種の追加に際しても具体的手段の再
検討の必要がなく、特定図形の認識の高速化がはかれる
図面読取方式を得ることを目的とする。
This invention was made in order to solve the above-mentioned problems, and it provides a drawing reading method that does not require reconsideration of specific means when adding a specific figure type and speeds up the recognition of specific figures. The purpose is to obtain.

〔問題点を解決するための手段〕[Means for solving problems]

この発明に係る図面読取方式は、認識したい特定図形を
基本図形要素の組合せとして複数記憶している辞書を持
ち、読取りたい図面を2値画像データとして読取って、
その2値画像データより前記図面から読取った図形を基
本図形要素として認識し、次に前記図面の図形の基本図
形要素中の大きさ最大の要素と同種類の基本要素を辞書
の特定図形の基本図形要素中に最大要素として持つもの
を候補として選び、この各々の候補の図形要素の組と比
較して、相互の基本図形要素の配置位置などを誤差とし
て評価するようにしたものである。
The drawing reading method according to the present invention has a dictionary that stores a plurality of specific figures to be recognized as combinations of basic figure elements, reads the drawing to be read as binary image data,
The figure read from the drawing from the binary image data is recognized as a basic figure element, and then the same type of basic element as the element with the largest size among the basic figure elements of the figure in the drawing is selected as the basic figure of the specific figure in the dictionary. The largest element among the graphical elements is selected as a candidate, and each of these candidates is compared with a set of graphical elements to evaluate the mutual placement positions of basic graphical elements as errors.

〔作 用〕[For production]

この発明における図面読取方式は、直線1円弧。 The drawing reading method in this invention is one straight line and one circular arc.

円、三角、四角などの基本図形要素で認識したい特定図
形をあられして辞書とし、また、図面から読取った所定
の図形と辞書の特定図形を比較してその基本図形要素間
での配置位置などの誤差を評価することにより特定図形
が認識されるものであり、特定したい図形種を追加する
場合には、その図形を基本図形要素で表現してやるだけ
でよく、具体的手段の再検討までは必要としない。
You can create a dictionary by collecting specific shapes that you want to recognize using basic graphical elements such as circles, triangles, and squares, and also compare the specified shapes read from the drawing with the specific shapes in the dictionary to determine the placement position among the basic graphical elements. A specific figure is recognized by evaluating the error in the figure, and when adding a figure type to be specified, it is sufficient to simply express the figure with basic figure elements, and it is not necessary to reconsider specific means. I don't.

〔実施例〕〔Example〕

以下、この発明の一実施例を図について説明する。第1
図において、11は読取りたい図面、12はこの図面1
1かも読取った図形の2値画像データを作成する2値化
手段、13は2値化手段12からの2値画像データを記
憶する2値画像記憶手段、14は前記2値画像データか
ら、直線2円弧。
An embodiment of the present invention will be described below with reference to the drawings. 1st
In the figure, 11 is the drawing you want to read, 12 is this drawing 1
Binarization means 13 creates binary image data of the read figure; 13 is binary image storage means for storing the binary image data from the binarization means 12; 14 is a straight line from the binary image data; 2 arcs.

円、三角、四角などの基本図形要素とその大きさ。Basic geometric elements such as circles, triangles, and squares and their sizes.

位置、方向などのパラメータを得る基本図形要素認識手
段、15は基本図形要素認識手段14からの基本図形要
素とそのパラメータを記憶する図面基本図形要素群記憶
手段、16は認識したい特定図形が直線2円弧2円、三
角、四角などの基本図形要素で構成される辞書を記憶し
ている辞書記憶手段、17は前記図面基本図形要素群記
憶手段15からの図面の図形の基本図形要素の組を前記
辞書記憶手段16の辞書内の特定図形の基本図形要素の
組と比較し、相互の基本図形要素間での誤差を評価して
特定図形を認識する特定図形認識手段、18は特定図形
認識手段17の認識結果を記憶する認識結果記憶手段で
ある。
Basic figure element recognition means for obtaining parameters such as position and direction; 15, drawing basic figure element group storage means for storing the basic figure elements and their parameters from the basic figure element recognition means 14; 16, when the specific figure to be recognized is a straight line 2; Dictionary storage means 17 stores a dictionary composed of basic graphical elements such as arcs, circles, triangles, squares, etc. A dictionary storage means 17 stores a set of basic graphical elements of drawing figures from the drawing basic graphical element group storage means 15. Specific figure recognition means 18 recognizes a specific figure by comparing it with a set of basic figure elements of a specific figure in the dictionary of the dictionary storage means 16 and evaluating the error between mutual basic figure elements; 18 is a specific figure recognition means 17; This is a recognition result storage means for storing recognition results.

次に動作について説明する。ここで、第2図は読取らn
る図面11の一例を示す平面図、第3図及び第4図はそ
の基本図形要素の認識過程を示す説明図である。
Next, the operation will be explained. Here, FIG. 2 reads n
A plan view showing an example of drawing 11, and FIGS. 3 and 4 are explanatory diagrams showing the recognition process of its basic graphical elements.

図面11から読取られた図形(例えば第2図に破線21
で囲んだ部分)は2値化手段12によって2値画像デー
タとなる。第3図Aがこの2値画像データを示すもので
あり、各黒点22には位置としてX座標及びX座標が与
えられる。この2値画像データは2値画像記憶手段13
に記憶され、基本図形要素認識手段14に渡される。
Figures read from drawing 11 (for example, broken line 21 in Fig. 2)
The portion surrounded by ) is converted into binary image data by the binarization means 12. FIG. 3A shows this binary image data, and each black point 22 is given an X coordinate and an X coordinate as a position. This binary image data is stored in the binary image storage means 13.
and is passed to the basic graphic element recognition means 14.

基本図形要素認識手段14では、まず、前記2値画像デ
ータを短ベクトルデータに変換し、次いでこの短ベクト
ルデータからベクトルデータを得て基本図形要素を認識
する。第3図Bがこの短ベクトルデータな示すものであ
り、各短ベクトル23は始点及び終点の座標を有し、前
記2値画像データの黒点22のかたまりの微小部分から
得られる。
The basic graphic element recognition means 14 first converts the binary image data into short vector data, and then obtains vector data from the short vector data to recognize basic graphic elements. FIG. 3B shows this short vector data, and each short vector 23 has coordinates of a starting point and an ending point, and is obtained from a minute portion of a mass of black points 22 of the binary image data.

また、第3図Cはこれら各短ベクトル23の結合関係、
ベクトル角度変化などから得たベクトルデータであり、
図面11より読取った図形21の各辺は始点及び終点の
座標を有する長ベクトル24として認識される。
Moreover, FIG. 3C shows the connection relationship of each of these short vectors 23,
Vector data obtained from vector angle changes, etc.
Each side of the figure 21 read from the drawing 11 is recognized as a long vector 24 having the coordinates of a starting point and an ending point.

ここで、図面11より読取った図形が円である場合には
、第4図への如き短ベクトルデータ25から第4図Bに
示す中心座標と半径によって規定される円26として認
識される。このようにして認識された直線9円2円弧、
三角、四角などの基本図形要素とその座標、大きさ等の
パラメータは図面基本図形要素群記憶手段15に記憶さ
れる。
Here, if the figure read from drawing 11 is a circle, it is recognized as a circle 26 defined by the center coordinates and radius shown in FIG. 4B from the short vector data 25 as shown in FIG. 4. Straight line 9 circles 2 arcs recognized in this way,
Basic graphical elements such as triangles and squares and parameters such as their coordinates and sizes are stored in the drawing basic graphical element group storage means 15.

特定図形認識手段17はこの図面基本図形要素群記憶手
段15かもの図面から読取った図形の基本図形要素の組
と辞書記憶手段16かもの辞書の特定図形の基本図形要
素の組と比較して、類似度を誤差として計算し、この誤
差を評価して特定図形の認識を行なう。
The specific figure recognition means 17 compares the set of basic figure elements of the figure read from this drawing basic figure element group storage means 15 with the set of basic figure elements of the specific figure in the dictionary storage means 16, The degree of similarity is calculated as an error, and this error is evaluated to recognize a specific figure.

第5図はこの認識過程を示す説明図であり、第6図はそ
の処理の流れを示すフローチャートである。第5図Aに
は、右側にD1〜D606本の線分に基本図形要素化さ
れた図面11の破線21で囲まtた部分から読取った図
形が示さ扛ている。
FIG. 5 is an explanatory diagram showing this recognition process, and FIG. 6 is a flowchart showing the flow of the process. FIG. 5A shows a figure read from a portion surrounded by a broken line 21 in FIG. 11, which is converted into basic figure elements into six line segments D1 to D60 on the right side.

ステップST1において、上記辞書の基本図形要素中の
最大のもの、例えばzlが選択され、ステップST2に
おいて、図面の基本図形要素中の最大の要素(例えばD
I)を選択し、この要素と同様の要素をやはり最大の要
素として持つ辞書構成要素を候補としてリストアツブす
る。第5図の左側はこの候補のひとつであり、21〜z
6の6本の線分に基本図形要素化されている。
In step ST1, the largest element among the basic graphical elements in the dictionary, for example, zl, is selected, and in step ST2, the largest element among the basic graphical elements in the drawing (for example, D
I) is selected, and dictionary constituent elements having an element similar to this element as the largest element are restored as candidates. The left side of Figure 5 is one of these candidates, 21~z
It is converted into basic graphical elements into six line segments of 6.

ST4〜ST3は、ひとつの候補に対する誤差評価手順
である。ステップST4において選択されたこしら両者
が対応付けられ、第5図Bに示すように基本図形要素D
1を基本図形要素z1の位置まで移動させた場合の平行
移動量と回転量を得、ステップST5において残った基
本図形要素D2〜D6を第5図Cに示すように前記平行
移動量と回転量に従って移動させる。
ST4 to ST3 are error evaluation procedures for one candidate. The two pieces selected in step ST4 are associated with each other, and as shown in FIG. 5B, the basic figure element D
1 is moved to the position of the basic figure element z1, and in step ST5, the remaining basic figure elements D2 to D6 are calculated as shown in FIG. 5C. Move according to the following.

次にステップST7とステップSTgのループによって
、辞書の基本図形要素22〜z5に図面の基本図形要素
D2〜D5を対応させて誤差の最小となるものをそれぞ
れ対とし、その誤差をステップST6でクリアされた誤
差エリアに総合誤差として順次加算してゆく。
Next, through a loop of steps ST7 and STg, the basic graphical elements 22 to z5 of the dictionary are made to correspond to the basic graphical elements D2 to D5 of the drawing, and those with the minimum error are made into pairs, and the errors are cleared in step ST6. The total error is sequentially added to the calculated error area.

ここで、この誤差の計算は、基本図形要素が線分の場合
であれば、例えば辞書側の線分の端点と図面側の線分の
端点の間の距離の二乗と定義して計算され、円の場合で
あれば中心位置間の距離の二乗と半径差の二乗和、三角
の場合であれば3つの頂点間の各々の距離の二乗和、四
角の場合であれば4つの頂点間の各々の距離の二乗和と
定義して計算する。
Here, if the basic graphic element is a line segment, this error is calculated by defining it as the square of the distance between the end point of the line segment on the dictionary side and the end point of the line segment on the drawing side, for example, In the case of a circle, the square of the distance between the center positions and the square of the radius difference; in the case of a triangle, the sum of the squares of the distances between each of the three vertices; in the case of a square, the sum of the squares of the distances between each of the four vertices It is calculated by defining it as the sum of squares of the distances.

次に、このようにして計算さnた総合誤差は、ステップ
ST9において前回計算さtた総合誤差と比較され、小
さな場合にのみその値を更新してステップST3へ処理
を戻す。
Next, the total error calculated in this way is compared with the previously calculated total error in step ST9, and only if it is small, the value is updated and the process returns to step ST3.

ここで、この総合誤差の格納エリアには初期匝として、
例えば格納可能な最大の値がセットされている。処理が
戻されたステップST3ではリストアツブされた候補中
で残りのひとつを選択し、以後同様の処理が繰返される
Here, in the storage area for this total error, as an initial value,
For example, the maximum value that can be stored is set. In step ST3, where the process is returned, one of the remaining candidates is selected from among the restored candidates, and the same process is repeated thereafter.

ステップST10において最終的に残った最小の総合誤
差が許容値と比較される。その結果、許容値よりも小さ
Itjnば、ステップST11において前記最小の総合
誤差を得た基本図形要素の組合せを認識したい特定図形
であると判定して後処理を行ない、許容値よりも太きけ
れば、ステップ5T12において認識したい特定図形は
ないと判定して後処理を行なう。
In step ST10, the final remaining minimum total error is compared with a tolerance value. As a result, if Itjn is smaller than the tolerance value, it is determined in step ST11 that the combination of basic graphic elements that obtained the minimum total error is the specific shape to be recognized, and post-processing is performed; In step 5T12, it is determined that there is no specific figure to be recognized, and post-processing is performed.

なお、上記実施例では辞書側の座標系にあわせて誤差評
価を行なう場合について説明したが、図面側の座標系に
あわせて誤差評価を行なってもよく、上記実施例と同様
の効果を奏する。
In the above embodiment, a case has been described in which the error evaluation is performed in accordance with the coordinate system on the dictionary side, but the error evaluation may be performed in accordance with the coordinate system on the drawing side, and the same effect as in the above embodiment is achieved.

〔発明の効果〕〔Effect of the invention〕

以上のように、この発明によれば、特定したい図形を直
線2円、三角、四角などの基本図形要素で表わして特定
図形の認識を行なうように構成したので、特定したい図
形種を追加する場合でも、認識を行なうだめの具体的手
段を再検討する必要がなく、さらに、特定したい図形を
最大の基本図形要素にて候補としてしぼり込むため、特
定図形認識の高速化がはかれる図面読取方式が得られる
効果がある。
As described above, according to the present invention, since the figure to be specified is represented by basic figure elements such as two straight circles, triangles, and squares, and the specific figure is recognized, when the figure type to be specified is added. However, there is no need to reconsider the specific means for recognition, and furthermore, it is possible to use a drawing reading method that speeds up the recognition of specific shapes because the candidates are narrowed down to the maximum number of basic graphic elements. It has the effect of

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

第1図はこの発明の一実施例による図面読取方式を示す
構成図、第2図は入力される図面の一例を示す平面図、
第3図及び第4図はこの発明における基本図形要素の認
識過程を示す説明図、第5図はこの発明における特定図
形の認識過程を示す説明図、第6図はその処理の流れを
示すフローチャート、第7図は従来の図面読取方式を示
す判定水の構成図である。 11は図面、12は2値化手段、13は2値画像記憶手
段、14は基本図形要素認識手段、15は図面基本図形
要素群記憶手段、16は辞書記憶手段、17は特定図形
認識手段、D1〜D6及びz1〜z6は基本図形要素。 なお、図中、同一符号は同一、又は相当部分を示す。 特許出願人   三菱電機株式会社 代理人 弁理士   EB  や tvt  [J”’
  ”1(外2名) 第6図
FIG. 1 is a block diagram showing a drawing reading method according to an embodiment of the present invention, FIG. 2 is a plan view showing an example of a drawing to be input,
FIGS. 3 and 4 are explanatory diagrams showing the recognition process of basic graphic elements in this invention, FIG. 5 is an explanatory diagram showing the recognition process of specific shapes in this invention, and FIG. 6 is a flowchart showing the flow of the process. , FIG. 7 is a configuration diagram of a judgment water showing a conventional drawing reading method. 11 is a drawing, 12 is a binarization means, 13 is a binary image storage means, 14 is a basic figure element recognition means, 15 is a drawing basic figure element group storage means, 16 is a dictionary storage means, 17 is a specific figure recognition means, D1 to D6 and z1 to z6 are basic graphical elements. In addition, in the figures, the same reference numerals indicate the same or equivalent parts. Patent applicant Mitsubishi Electric Co., Ltd. Agent Patent attorney EB and tvt [J”'
”1 (2 others) Figure 6

Claims (1)

【特許請求の範囲】[Claims] 図面中の所定の図形を検出してその形状の認識を行なう
図面読取方式において、前記図面より読取られた図形の
2値画像データを記憶する2値画像記憶手段と、前記2
値画像データから得た基本図形要素とこの基本図形要素
の大きさ、位置、方向などのパラメータとを記憶する図
面基本図形要素群記憶手段と、認識したい特定図形が前
記基本図形要素で構成され該基本図形要素を辞書構成要
素として、複数登録している辞書を記憶している辞書記
憶手段を備え、前記図面から読取った図形の基本図形要
素中、最も大なる基本図形要素と同種類の基本図形要素
を最大の基本図形要素として持つ辞書構成要素を、認識
したい特定図形の候補として選び、この候補についてそ
れぞれ前記図面から読取った図形の基本図形要素の組合
せを前記辞書の特定図形の基本図形要素中の大きなもの
から順に対応させ、これら両基本図形要素間の誤差を計
算して総和し、この総和量が最小となる候補を認識した
い特定図形と判定することを特徴とする図面読取方式。
In a drawing reading method for detecting a predetermined figure in a drawing and recognizing its shape, a binary image storage means for storing binary image data of a figure read from the drawing;
a drawing basic figure element group storage means for storing basic figure elements obtained from value image data and parameters such as the size, position, direction, etc. of the basic figure elements; The dictionary storage means stores a plurality of dictionaries in which basic figure elements are registered as dictionary constituent elements, and the basic figure is of the same type as the largest basic figure element among the basic figure elements of the figure read from the drawing. Select the dictionary component that has Element as the largest basic figure element as a candidate for the specific figure you want to recognize, and for each candidate, select the combination of the basic figure elements of the figure read from the drawing among the basic figure elements of the specific figure in the dictionary. A drawing reading method characterized in that the errors between these two basic figure elements are calculated and summed in descending order of magnitude, and the candidate with the smallest sum is determined to be a specific figure to be recognized.
JP24942086A 1986-10-22 1986-10-22 Drawing read system Pending JPS63104189A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP24942086A JPS63104189A (en) 1986-10-22 1986-10-22 Drawing read system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP24942086A JPS63104189A (en) 1986-10-22 1986-10-22 Drawing read system

Publications (1)

Publication Number Publication Date
JPS63104189A true JPS63104189A (en) 1988-05-09

Family

ID=17192708

Family Applications (1)

Application Number Title Priority Date Filing Date
JP24942086A Pending JPS63104189A (en) 1986-10-22 1986-10-22 Drawing read system

Country Status (1)

Country Link
JP (1) JPS63104189A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018184282A1 (en) * 2017-04-08 2018-10-11 大连万达集团股份有限公司 Method for comparing fittingness of two-dimensional drawing in engineering

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018184282A1 (en) * 2017-04-08 2018-10-11 大连万达集团股份有限公司 Method for comparing fittingness of two-dimensional drawing in engineering

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