JP2001243469A - Method for extracting heavy line - Google Patents

Method for extracting heavy line

Info

Publication number
JP2001243469A
JP2001243469A JP2000056169A JP2000056169A JP2001243469A JP 2001243469 A JP2001243469 A JP 2001243469A JP 2000056169 A JP2000056169 A JP 2000056169A JP 2000056169 A JP2000056169 A JP 2000056169A JP 2001243469 A JP2001243469 A JP 2001243469A
Authority
JP
Japan
Prior art keywords
line
thick line
extracting
extracted
image data
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
JP2000056169A
Other languages
Japanese (ja)
Other versions
JP3393106B2 (en
Inventor
Masahiro Noda
正弘 野田
Tsutomu Endo
努 遠藤
Masahiro Ishikawa
正浩 石川
Mitsuhiro Aoki
満博 青木
Masataka Ito
巨貴 伊藤
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.)
TODEN SOFTWARE Inc
Chuo Electronics Co Ltd
Original Assignee
TODEN SOFTWARE Inc
Chuo Electronics Co 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 TODEN SOFTWARE Inc, Chuo Electronics Co Ltd filed Critical TODEN SOFTWARE Inc
Priority to JP2000056169A priority Critical patent/JP3393106B2/en
Publication of JP2001243469A publication Critical patent/JP2001243469A/en
Application granted granted Critical
Publication of JP3393106B2 publication Critical patent/JP3393106B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Landscapes

  • Image Processing (AREA)
  • Image Generation (AREA)
  • Editing Of Facsimile Originals (AREA)
  • Image Analysis (AREA)

Abstract

PROBLEM TO BE SOLVED: To provide an image processing method by which heavy lines are extracted from image data. SOLUTION: This heavy-line extracting method consists of a first stage for extracting a heavy line from the image data and a second stage for shaping the extracted thick line. By the heavy-line extracting method of the first stage, an area filter is used after the image data are binarized and degenerated, and while this area filter measures the area of an isolated figure in the image, the circumscribed rectangle is found from the minimum diameter and outline of the isolated figure; and those values are used as a band to evaluate the filtering, thereby extracting the heavy line. The heavy-line shaping method as the second stage makes the extracted heavy line thin, the heavy line is redrawn by using a catheter method, and the extracted thick line is shaped.

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】画像データから太線を抽出す
る画像処理方法に関する。
The present invention relates to an image processing method for extracting a thick line from image data.

【0002】[0002]

【従来の技術】従来技術による太線の抽出方法について
図3フローチャートを参照しながら説明する。従来技術
による太線の取得方法では、画像データ(ステップS1
01)を2値化した後(ステップS102)、収縮し
(ステップS103)、膨張してから(ステップS10
4)、面積フィルタを使用し(ステップS105)、太
線を抽出していた(ステップS106)。
2. Description of the Related Art A conventional method of extracting a thick line will be described with reference to a flowchart of FIG. In the conventional method for acquiring a thick line, image data (step S1) is used.
01) is binarized (step S102), contracted (step S103), and expanded (step S10).
4) A thick line was extracted using an area filter (step S105) (step S106).

【0003】[0003]

【発明が解決しようとする課題】従来技術による太線の
取得方法では、太線の抽出において、一旦「収縮」す
るために情報が欠落する、「膨張」過程で形状が歪
む、太線内が大きなノイズとなる、といった問題点が
あった。
In the method of obtaining a thick line according to the prior art, in the extraction of a thick line, information is temporarily lost due to "shrinkage", the shape is distorted in the "expansion" process, and large noise is generated in the thick line. There was a problem of becoming.

【0004】[0004]

【課題を解決するための手段】本発明による太線の抽出
方法は、画像データから太線を抽出する第1過程と、抽
出した太線を整形する第2過程からなる。第1過程であ
る太線の抽出方法では、画像データを2値化した後、縮
退処理してから面積フィルタを使用し、前記面積フィル
タにおいて、画面上の孤立図形の面積の測定と同時に、
前記孤立図形の最小径と、輪郭線からの外接矩形の大き
さを求め、それらの値を帯域としてフィルタリングの評
価を行なうことにより太線を抽出する。第2過程である
太線の整形方法では、抽出した太線を細線化し、前記細
線をカテーテル法を用いて太線を再描画し、抽出した太
線を整形する。
The method for extracting a thick line according to the present invention comprises a first step of extracting a thick line from image data and a second step of shaping the extracted thick line. In the method of extracting a thick line, which is the first step, the image data is binarized and then subjected to degeneration processing, and then an area filter is used.
A thick line is extracted by obtaining the minimum diameter of the isolated figure and the size of a circumscribed rectangle from the contour, and evaluating the filtering using these values as a band. In the method of shaping a thick line, which is the second step, the extracted thick line is thinned, the thin line is redrawn using the catheter method, and the extracted thick line is shaped.

【0005】[0005]

【発明の実施の形態】第1過程である太線の抽出方法で
は、画像データを2値化した後、2値化画像を縮退処理
してから面積フィルタを使用することにより、太線から
細線を切り離してから太線を抽出する。すなわち縮退法
を用いて太線の外側から細線を削ぎ落し、面積フィルタ
によって画像データのノイズおよび細線を除去して太線
を抽出する。なお縮退処理してから面積フィルタを行な
うことにより、面積フィルタにかかる処理時間を短縮す
ることができる。一般に面積フィルタでは、画面上の孤
立図形の面積を測定し、その値を帯域としてフィルタリ
ングの判断を行なってその形状を2次元フィルタとする
ため、対象図形が細線であった場合、面積だけでは充分
な指標とはならず、細線を除去することができない。そ
こで本発明による面積フィルタでは、「面積」よる評価
に、最小径、外接矩形の大きさ、の評価を加えるこ
とにより細線を除去して太線を抽出し、その処理の高速
化を図る。例えば、ひとつの孤立図形に対する面積を評
価する際、たまたま他の孤立図形と接続していると、当
然これら接続した図形がひとつのものと判断される。従
って面積のみの評価を行なった場合、接続した図形の面
積を合計してしまい、正しい評価が行なわれない場合が
ある。そこで本発明による面積フィルタでは、面積を求
める際に孤立図形の最小径を同時に求め、最小径がある
値以下である場合は、2以上の図形(の結合したもの)
である可能性があると判断する指標とし、画像データか
らノイズおよび細線を除去して太線を抽出する。また、
面積フィルタでは抽出した孤立図形の形状そのものをマ
スキングパターンとして画像に対する論理演算を行なう
ため、このとき論理演算の範囲を前記孤立図形に外接す
る矩形で実施すると処理速度を向上させることができ
る。そこで本発明による面積フィルタでは、面積を求め
る際に孤立図形の輪郭線の座標の最小値と最大値を外接
矩形の座標として同時に求め、画像に対する論理演算を
高速化する。
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In a first step, a method of extracting a thick line, a thin line is separated from the thick line by binarizing the image data, reducing the binary image, and using an area filter. And then extract the thick line. That is, the thin line is cut off from the outside of the thick line by using the degeneration method, and the noise and the thin line of the image data are removed by the area filter to extract the thick line. By performing the area filter after the reduction processing, the processing time required for the area filter can be reduced. In general, an area filter measures the area of an isolated figure on a screen, makes a filtering decision using the value as a band, and makes the shape a two-dimensional filter. Therefore, if the target figure is a thin line, the area alone is sufficient. It is not a good index, and thin lines cannot be removed. Therefore, in the area filter according to the present invention, a thin line is removed and a thick line is extracted by adding the evaluation of the minimum area and the size of the circumscribed rectangle to the evaluation based on the “area”, thereby speeding up the processing. For example, when evaluating the area for one isolated figure, if it happens to be connected to another isolated figure, it is naturally determined that these connected figures are one. Therefore, when the evaluation is performed only for the area, the areas of the connected figures are summed up, and the correct evaluation may not be performed. Therefore, in the area filter according to the present invention, the minimum diameter of the isolated figure is simultaneously obtained when the area is obtained, and when the minimum diameter is smaller than a certain value, two or more figures (combined figures) are obtained.
The noise and the thin line are removed from the image data, and the thick line is extracted. Also,
In the area filter, since the logical operation is performed on the image using the extracted shape of the isolated figure itself as a masking pattern, the processing speed can be improved by performing the range of the logical operation with a rectangle circumscribing the isolated figure. Therefore, in the area filter according to the present invention, when obtaining the area, the minimum value and the maximum value of the coordinates of the outline of the isolated figure are simultaneously obtained as the coordinates of the circumscribed rectangle, thereby speeding up the logical operation on the image.

【0006】第2過程である太線の整形方法では、抽出
した太線を細線化し、「カテーテル法」を用い、前記細
線に沿って線幅2rの滑らかな太線を再描画し、抽出し
た太線を整形する。細線化は一般的なスケルトン法を用
いる。従って細線化で得られた細線上の画素は必ず元の
太線の内部にあり、前記細線上の画素と元の太線の輪郭
線との距離は線幅の1/2以下となる。このことは、前
記細線上の画素近傍を中心として元の太線に内接した円
を描くことができることを意味している。そこで細線に
沿って半径rの塗りつぶし円を描画していくことによ
り、細線に沿った線幅2rの滑らかな太線の再描画を行
なう。図1に本発明による太線の再描画方法について説
明する。図1(a)に示すように、「カテーテル法」に
よる太線の再描画方法では、細線上の画素を中心に元の
太線を参照しながら円を描き、元の太線の輪郭線との内
接円となるまで半径rを拡大する。こうして得られた内
接円の内側を塗りつぶし、この処理を細線に沿って繰り
返すことにより、細線に沿った線幅2rの滑らかな太線
を再描画することができる。この太線の再描画方法は、
あたかも太線のなかにカテーテルを通して風船を膨らま
せるように見えるため「カテーテル法」と呼ぶ。図1
(b)に「カテーテル法」による輪郭線の内接円の描画
方法を示す。半径rを徐々に大きくしていき輪郭線の一
方で切られる状態が発生した場合、円と輪郭線の2交点
の曲座標をそれぞれ(r,θ1)と(r,θ2)とし、
この状態で円の中心をθ=(θ1+θ2)/2+π[ラ
ジアン]方向に1画素移動し、再度円の描画を試み、描
画した円が太線の輪郭線の内接円となるまで繰り返す。
すなわち円の片側だけしか太線の輪郭線に接しない場合
は、円の中心と接点を結ぶ直線上に、接点と反対側に単
位長さ分だけ円の中心を移動し、再度元の太線を参照し
ながら円を描き、輪郭線の内接円を得る。このように
「カテーテル法」を用いて細線に沿った線幅2rの滑ら
かな太線を再描画し、太線を整形することができる。
[0006] In the second step, a method of shaping a thick line, the extracted thick line is thinned, a smooth thick line having a line width of 2r is redrawn along the thin line using the "catheter method", and the extracted thick line is shaped. I do. The thinning uses a general skeleton method. Therefore, the pixels on the thin line obtained by thinning are always inside the original thick line, and the distance between the pixel on the thin line and the contour line of the original thick line is 以下 or less of the line width. This means that a circle inscribed in the original thick line can be drawn around the pixel on the thin line. Therefore, by drawing a solid circle having a radius r along the thin line, a smooth thick line having a line width 2r along the thin line is redrawn. FIG. 1 illustrates a method for redrawing a thick line according to the present invention. As shown in FIG. 1A, in the method of redrawing a thick line by the “catheter method”, a circle is drawn centering on the pixel on the thin line while referring to the original thick line, and inscribed with the outline of the original thick line. The radius r is increased until it becomes a circle. By painting the inside of the inscribed circle thus obtained and repeating this processing along the fine line, a smooth thick line having a line width 2r along the fine line can be redrawn. The way to redraw this thick line is
It is called "catheter method" because it looks as if the balloon is inflated through a catheter in a thick line. FIG.
(B) shows a method of drawing an inscribed circle of a contour line by the “catheter method”. When the radius r is gradually increased and a state occurs in which one of the contours is cut off, the coordinates of the intersection of the circle and the contour are (r, θ1) and (r, θ2), respectively.
In this state, the center of the circle is moved by one pixel in the direction of θ = (θ1 + θ2) / 2 + π [radian], the drawing of the circle is tried again, and the drawing is repeated until the drawn circle becomes the inscribed circle of the thick outline.
In other words, if only one side of the circle touches the outline of the thick line, move the center of the circle by the unit length to the opposite side of the contact on the straight line connecting the center of the circle and the contact point, and refer to the original thick line again While drawing a circle, get the inscribed circle of the outline. As described above, a smooth thick line having a line width of 2r along a thin line can be redrawn using the “catheter method”, and the thick line can be shaped.

【0007】本発明による太線の抽出方法について、図
2のフローチャートを参照しながら説明する。本発明に
よる太線の抽出方法では、太線の「抽出」と「整形」の
2過程からなる。すなわち画像データ(ステップS1)
を2値化した後(ステップS2)、縮退処理して太線か
ら細線を切り離し(ステップS3)、面積フィルタを使
用して画像データのノイズおよび細線を除去し(ステッ
プS4)、太線を抽出する(ステップS5)。次に抽出
した太線を細線化し(ステップS6)、「カテーテル
法」を用いて太線を再描画し(ステップS7)、抽出し
た太線を整形する(ステップS8)。
A method for extracting a thick line according to the present invention will be described with reference to the flowchart of FIG. The method for extracting a thick line according to the present invention includes two processes of “extraction” and “shaping” of the thick line. That is, image data (step S1)
Is binarized (step S2), a thin line is separated from the thick line by performing a reduction process (step S3), and noise and thin lines of the image data are removed using an area filter (step S4), and the thick line is extracted (step S4). Step S5). Next, the extracted thick line is thinned (step S6), the thick line is redrawn using the “catheter method” (step S7), and the extracted thick line is shaped (step S8).

【0008】[0008]

【発明の効果】以上本発明による太線の抽出方法では、
画像データから太線を抽出する第1過程と、抽出した太
線を整形する第2過程からなり、前記第1過程では、画
像データを2値化した後、縮退処理してから面積フィル
タし、前記面積フィルタにおいて、画面上の孤立図形の
面積の測定と同時に、前記孤立図形の最小径と、輪郭線
からの外接矩形の大きさを求め、それらの値を帯域とし
てフィルタリングの評価を行なうことにより、画像デー
タからノイズおよび細線を除去し、高速で太線を抽出す
る。また前記第2過程では、抽出した太線を細線化し、
前記細線をカテーテル法を用いて太線を再描画し、抽出
した太線を整形する。すなわち本発明による太線の抽出
方法では、情報の欠落や形状の歪みが生じることなく太
線の抽出が行なわれ、また太線内部に欠陥があっても、
太線を整形することによりノイズが除去される。従って
本発明による太線の抽出方法は、例えば地図データから
配電線などの太線に関する情報を取得する作業に有効で
ある。
As described above, in the method for extracting a thick line according to the present invention,
The method comprises a first step of extracting a thick line from image data and a second step of shaping the extracted thick line. In the first step, after binarizing the image data, performing degeneration processing, and performing area filtering, In the filter, at the same time as measuring the area of the isolated figure on the screen, the minimum diameter of the isolated figure and the size of the circumscribed rectangle from the contour are determined, and the filtering is evaluated using these values as a band to obtain an image. Remove noise and thin lines from the data and extract thick lines at high speed. In the second step, the extracted thick line is thinned,
The thin line is redrawn using a catheter method to redraw the thick line, and the extracted thick line is shaped. That is, in the method of extracting a thick line according to the present invention, the thick line is extracted without causing information loss or shape distortion, and even if there is a defect inside the thick line,
Noise is removed by shaping the thick line. Therefore, the method for extracting a thick line according to the present invention is effective for an operation of acquiring information about a thick line such as a distribution line from map data.

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

【図1】本発明による太線の再描画方法FIG. 1 is a method for redrawing a thick line according to the present invention.

【図2】本発明による太線の抽出方法のフローチャートFIG. 2 is a flowchart of a method for extracting a thick line according to the present invention;

【図3】従来技術による太線の抽出方法のフローチャー
FIG. 3 is a flowchart of a conventional method for extracting a thick line.

───────────────────────────────────────────────────── フロントページの続き (72)発明者 遠藤 努 東京都港区新橋6丁目19番15号 東電ソフ トウェア株式会社内 (72)発明者 石川 正浩 東京都八王子市元本郷町1丁目9番9号 中央電子株式会社内 (72)発明者 青木 満博 東京都八王子市元本郷町1丁目9番9号 中央電子株式会社内 (72)発明者 伊藤 巨貴 東京都八王子市元本郷町1丁目9番9号 中央電子株式会社内 Fターム(参考) 5B057 CA08 CE12 CF01 CF02 DA08 DA17 DB02 DB08 DC04 5B080 EA04 5C076 AA40 BA06 5L096 AA06 DA01 EA43 FA03 FA18 FA59 FA62 GA55 9A001 HH28  ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Tsutomu Endo 6-19-15 Shimbashi, Minato-ku, Tokyo TEPCO Software Corporation (72) Inventor Masahiro Ishikawa 1-9-9 Motohongo-cho, Hachioji-shi, Tokyo No. Chuo Denshi Co., Ltd. (72) Inventor Mitsuhiro Aoki 1-9-9 Motohongo-cho, Hachioji-shi, Tokyo Central Japan Co., Ltd. (72) Inventor Koki Ito 1-9-9 Motomotogo-cho, Hachioji-shi, Tokyo No. 9 Chuo Denshi Co., Ltd. F term (reference) 5B057 CA08 CE12 CF01 CF02 DA08 DA17 DB02 DB08 DC04 5B080 EA04 5C076 AA40 BA06 5L096 AA06 DA01 EA43 FA03 FA18 FA59 FA62 GA55 9A001 HH28

Claims (2)

【特許請求の範囲】[Claims] 【請求項1】 画像データから太線を抽出する画像処理
方法において、 画像データを2値化した後、縮退処理してから面積フィ
ルタを使用し、前記面積フィルタにおいて、画面上の孤
立図形の面積の測定と同時に、前記孤立図形の最小径
と、輪郭線からの外接矩形の大きさを求め、それらの値
を帯域としてフィルタリングの評価を行なって太線を抽
出すると共に、 抽出した太線を再描画して整形し、画像データから整形
された太線を抽出することを特徴とする太線の抽出方
法。
1. An image processing method for extracting a thick line from image data, comprising the steps of: binarizing image data, performing degeneration processing, and using an area filter; Simultaneously with the measurement, the minimum diameter of the isolated figure and the size of the circumscribed rectangle from the contour are obtained, and the filtering is evaluated using these values as a band to extract a thick line, and the extracted thick line is redrawn. A method for extracting a thick line, comprising shaping and extracting a shaped thick line from image data.
【請求項2】 抽出した太線を再描画して整形する画像
処理方法において、抽出した太線を細線化し、該細線を
中心に元の太線を参照しながら円を描き、太線の輪郭線
との内接円となるまで半径rを拡大し、得られた内接円
の内側を塗りつぶし、この処理を細線に沿って繰り返す
ことにより、細線に沿った線幅2rの滑らかな太線を再
描画して整形するカテーテル法を用いることを特徴とす
る請求項1記載の太線の抽出方法。
2. An image processing method for redrawing and shaping an extracted bold line, thinning the extracted bold line, drawing a circle around the thin line with reference to the original bold line, and extracting a circle from the outline of the bold line. The radius r is enlarged until it becomes a tangent circle, the inside of the obtained inscribed circle is painted out, and this process is repeated along the thin line to redraw and shape a smooth thick line having a line width 2r along the thin line. 2. The method for extracting a thick line according to claim 1, wherein a catheter method is used.
JP2000056169A 2000-03-01 2000-03-01 Thick line extraction method Expired - Fee Related JP3393106B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2000056169A JP3393106B2 (en) 2000-03-01 2000-03-01 Thick line extraction method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2000056169A JP3393106B2 (en) 2000-03-01 2000-03-01 Thick line extraction method

Publications (2)

Publication Number Publication Date
JP2001243469A true JP2001243469A (en) 2001-09-07
JP3393106B2 JP3393106B2 (en) 2003-04-07

Family

ID=18577169

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2000056169A Expired - Fee Related JP3393106B2 (en) 2000-03-01 2000-03-01 Thick line extraction method

Country Status (1)

Country Link
JP (1) JP3393106B2 (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7336396B2 (en) 2003-03-20 2008-02-26 Kabushiki Kaisha Toshiba Image processing apparatus and image processing method
JP2008077677A (en) * 2002-11-18 2008-04-03 Qinetiq Ltd Measurement of mitotic activity
JP2011114477A (en) * 2009-11-25 2011-06-09 Ricoh Co Ltd Perforation detection method, image forming method, and image forming apparatus

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008077677A (en) * 2002-11-18 2008-04-03 Qinetiq Ltd Measurement of mitotic activity
US7336396B2 (en) 2003-03-20 2008-02-26 Kabushiki Kaisha Toshiba Image processing apparatus and image processing method
JP2011114477A (en) * 2009-11-25 2011-06-09 Ricoh Co Ltd Perforation detection method, image forming method, and image forming apparatus

Also Published As

Publication number Publication date
JP3393106B2 (en) 2003-04-07

Similar Documents

Publication Publication Date Title
JP4926116B2 (en) Image inspection device
US6763127B1 (en) Apparatus and method for fingerprint recognition system
CN109697717B (en) Lining crack identification method based on image automatic search
JPS63145577A (en) Pattern data generating method
JP2001243469A (en) Method for extracting heavy line
CN114092499A (en) Medicine box dividing method
JP2000149031A (en) Image processing device and method and storage medium
CN111539877B (en) Cartoon style edge enhancement image sharpening method
CN112258421A (en) Image enhancement and noise reduction method and system based on prewitt operator
JPH05274422A (en) Cell image processing method
JP2915204B2 (en) How to represent binary figures
CN114792376A (en) Line segment endpoint extraction method
JP2653386B2 (en) Drawing processing equipment
CN114694147B (en) Method and device for dividing surrounding characters in elliptical pattern
CN113408543B (en) Two-dimensional part outline rasterization feature representation method
JP2942499B2 (en) Image identification method and apparatus
CN113034376A (en) Method and system for enhancing and reducing noise of image based on Laplacian operator
CN112529017A (en) Image edge extraction method and system based on sobel operator
JPS6151271A (en) Broken line approximation system of line pattern
JPS6292085A (en) Recognizing system for symmetrical characteristics of graphic form
JP3051936B2 (en) Image analysis method
CN112784852A (en) Image edge extraction method and system based on prewitt operator
CN112233044A (en) Image enhancement and noise reduction method and system based on roberts operator
CN112464963A (en) Image edge extraction method and system based on roberts operator
JPH10334236A (en) Recognition method for line graphic

Legal Events

Date Code Title Description
S531 Written request for registration of change of domicile

Free format text: JAPANESE INTERMEDIATE CODE: R313531

R350 Written notification of registration of transfer

Free format text: JAPANESE INTERMEDIATE CODE: R350

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20090124

Year of fee payment: 6

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20100124

Year of fee payment: 7

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20110124

Year of fee payment: 8

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20120124

Year of fee payment: 9

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20130124

Year of fee payment: 10

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20130124

Year of fee payment: 10

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20130124

Year of fee payment: 10

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20130124

Year of fee payment: 10

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20140124

Year of fee payment: 11

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

LAPS Cancellation because of no payment of annual fees