JPH03102478A - Image processing device - Google Patents
Image processing deviceInfo
- Publication number
- JPH03102478A JPH03102478A JP1239521A JP23952189A JPH03102478A JP H03102478 A JPH03102478 A JP H03102478A JP 1239521 A JP1239521 A JP 1239521A JP 23952189 A JP23952189 A JP 23952189A JP H03102478 A JPH03102478 A JP H03102478A
- Authority
- JP
- Japan
- Prior art keywords
- image
- histogram
- interest
- region
- processing device
- 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.)
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- Apparatus For Radiation Diagnosis (AREA)
- Image Processing (AREA)
Abstract
(57)【要約】本公報は電子出願前の出願データであるた
め要約のデータは記録されません。(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.
Description
【発明の詳細な説明】
け）産業上の利用分野
この発明はＸｍＡ Ｃ ’ＩＩ”装置，シンチカメラ装
置その他の医用装置やＸ線マイクロアナライザその他の
物質表面分析装置．その他に広く用いられる画像処理装
置．とくに関心領域の強調表示に関するものである。[Detailed Description of the Invention] K) Industrial Application Field This invention is applicable to XmA C 'II' devices, cinch camera devices and other medical devices, X-ray microanalyzers and other material surface analysis devices, and other widely used image processing devices. Apparatus, particularly for highlighting areas of interest.
（口）従来技術
画像の濃淡特性乞′ＡＩＪ月」して強調表示する方法と
して，横軸に濃度紮とり．縦軸にｉ′ｉｆｉ′ｉ素数紮
とつ／こヒストグラムを利用する技術．いわゆるヒスト
グラムイコライゼーションの手法がある。(Note) As a method of highlighting the shading characteristics of a conventional image, the horizontal axis is plotted with density. A technique that uses i'ifi'i prime number histogram on the vertical axis. There is a method called histogram equalization.
こｒｕｔ画像中の各画素毎の濃度紮横軸にとク画素数紫
縦軸にとって画像全体のヒヌトグラムを作或し，ヒスト
グラムリ曲線下の全面積金積分で求めて，この全１］′
ｉｌ′ｌｊｔに対する比率に応じて各濃度に対するグレ
ーレベル’．ｒ： 配分Ｌ−グレースケール金決定する
ものである。Create a hinutogram of the entire image with the density of each pixel in the image on the horizontal axis and the number of pixels on the vertical axis, and calculate the total area under the histogram curve by integrating the total area.
gray level' for each density according to its ratio to il'ljt. r: Determines the allocation L-grayscale gold.
（ハ）発明が解決しようとする問題点
画像には興味対象となる強調したい部分がある。特に医
用画像等に訟いては．目的臓棒が一般的には強調したい
個所である。従来技術では上述のヒストグラムに応じて
，画素の分布の多い＃度範囲にグレーレベ７１７ｋ多く
配分してこれを強調する方式がよく用いられて＞ｖ，画
１ｎＪ全体として臓発等の部分が強調される結果となる
。(c) Problems to be solved by the invention There are parts of the image that are of interest and that should be emphasized. Especially when it comes to medical images. The main point is generally the part you want to emphasize. In the conventional technology, a method is often used in which, according to the above-mentioned histogram, 717k more gray levels are allocated to the # degree range where the pixel distribution is large, and this is emphasized. This results in
しかしこの方法では，関む領域となる特定の臓器（１又
は複数）に焦点紫当ててこ：ｎ４，ｙ強調じたい場合に
は対応不可能であった。However, this method cannot handle cases where it is desired to focus on a specific organ (or organs) that are involved.
（ニ）課題紫解決するための手段
本発明に釦いては．特定の臓器（１または複数）に関心
領域金設定してその内部のヒヌトグラムを作或し，その
分布に従って画像全体，のヒストグラムに皇み會付けて
強調画像ｔ作咬する。(d) Means for solving the problems The present invention is explained below. A region of interest is set for a specific organ (one or more), a histogram is created inside the region, and the histogram of the entire image is adjusted according to the distribution to create an enhanced image.
即ち．画像中の関心領域として選んだ特定領域内の画素
に力するヒストグラム（゛関心領域ヒストグラム”）を
形収し，これに基いて画像全体のヒヌトグラムに幻して
．関心領域に対応する部分を強調した強調ヒストグラム
を形吠する。That is. A histogram (region of interest histogram) that focuses on pixels in a specific region selected as a region of interest in an image is collected, and based on this, a hinutogram of the entire image is created.The part corresponding to the region of interest is emphasized. Display the enhanced histogram.
このヒストグラムから上述のヒストグラムイコライゼー
シーン方法によクグレースケ−／Ｉ’を決定し，これに
基いて画像金形戎すると・関心領域の部分が特に強調さ
れた像が得られる。From this histogram, the gray scale/I' is determined by the above-mentioned histogram equalization scene method, and when the image is shaped based on this, an image in which the region of interest is particularly emphasized is obtained.
（ホ）作用
画像中の関心頼域として設定した特定の臓器（１又は複
数）に多くのグレーレベｌレが配分てれ，目的の臓着等
が精細に描出され．しかも原画像での濃淡の順序は保た
れ．狂わない。(e) A large number of gray levels are distributed to a specific organ (or organs) set as a region of interest in the action image, and the target viscera, etc. are depicted in detail. Moreover, the order of shading in the original image is maintained. Don't go crazy.
（ヘ）実施例
第１図は本発明の１実施例装置の画像処理装置の要部構
或園である。（１）は処理すべき画像データ會検出する
計測装置であク．シンチレーシｌンカメラ．Ｘ線−ＣＴ
装置．核磁気共鳴イメージング装置（ＭＨＩ ） ．超
音波診断装置，その他の医用装置．Ｘ線マイクロアナラ
イザ，その他の分析装置ほか対象は特に限定されない。(f) Embodiment FIG. 1 shows the main part structure of an image processing apparatus according to an embodiment of the present invention. (1) is a measuring device that detects image data to be processed. Scintillation camera. X-ray-CT
Device. Nuclear magnetic resonance imaging instrument (MHI). Ultrasonic diagnostic equipment and other medical equipment. The target is not particularly limited, including an X-ray microanalyzer and other analytical devices.
（２）！″ｌ：データ処理装置で．コンビ一一夕を含み
計測装置の種類に応じ各種の一般的データ処理機能を有
している。｛３｝はＣＲＴその他の画像表示装置であク
，通常の画像と強調画像表示用にそれぞれ設けてもよい
し．壕た１個で切替的に用いてもよい。(2)! ``l: A data processing device. It has various general data processing functions depending on the type of measuring device, including a combination. {3} is a CRT or other image display device. They may be provided for displaying highlighted images, respectively, or a single trench may be used for switching purposes.
（４）は本発明にｐいて特に設けられた画像強調処理部
であク．（５）は計測装置（１） ｔたはデータ処理装
置（２）からの画像データ中の目的の画像について画素
濃度一画素数の度数分布図（ヒストグラム）（第２図（
ａ） ） ｒ作成する画素濃度ヒヌトグラム作或手段．
（６）は関心領域内の画素に対応する関心領域ヒストグ
ラム作成手段．（７）は関心領域の部分を強調したヒス
トグラムを作或する強調ヒストグラム作戒手段．（８）
ｔｌこの強調ヒヌトグラムに基いて，ヒヌトグラムイコ
ライゼーシ璽ンの手法等によク．関心領域の濃度範囲に
対応した部分を強調した強調グレースケー／Ｉ／ヲ作或
する手段である。（９）はグレースケ−ｌｖヲ一時記憶
する手段である。(4) is an image enhancement processing section specially provided in the present invention. (5) is a frequency distribution diagram (histogram) of pixel density per pixel number for the target image in the image data from the measuring device (1) or the data processing device (2) (see Fig. 2).
a)) A method for creating a pixel density hinutogram.
(6) is a region of interest histogram creation means corresponding to pixels within the region of interest. (7) is an emphasis histogram creation means for creating a histogram that emphasizes the region of interest. (8)
tl Based on this emphasized hinutogram, the hinutogram equalization method, etc. is used. This is a means of creating an enhanced grayscale image that emphasizes a portion corresponding to the density range of the region of interest. (9) is a means for temporarily storing gray scale data.
つぎに，本発明による強調画像処理動作について説明す
る。Next, the enhanced image processing operation according to the present invention will be explained.
強調表示すべき画像データは，計測装置（１１から．ま
たは本装置の外部からデータ処理装置（２）に蓄積記憶
され，画像表示装置（３）に次々に表示される。Image data to be highlighted is stored in the data processing device (2) from the measuring device (11) or from outside the device, and is displayed one after another on the image display device (3).
表示された画像．たとえばＷＩＪ４図（ａ）の画像に訃
いていずれかの部分に関心がある場合は．画像西全体の
データをヒストグラム作或手段（５）に入力し，画素濃
度一画素数のヒストグラムの）を作或する（第２図（ａ
））。Displayed image. For example, if you are interested in any part of the image in WIJ4 (a). The data for the entire west part of the image is input to the histogram creation means (5), and a histogram of one pixel density per pixel is created (see Figure 2 (a)).
)).
次に関心領域として画像（４）中のたとえば臓器（イ）
の部分′ｋ設定し．（画像」二で（イ）の輪郭にそって
入力ペン金移動する公知の用手法のほか．臓券（１）の
位置から自動設定することも考えられる。｝（イ）内の
画素について関心領域ヒストグラム（Ｂ１）ｔ作或し，
こｎ’ｋ（Ｂ２）のように適宜拡大する。Next, as a region of interest, for example, organ (a) in image (4).
Set the part ′k. In addition to the known method of moving the input pen along the outline of (A) in (Image 2), it is also possible to automatically set the input pen from the position of (1).} If you are interested in the pixels in (A) Area histogram (B1)
Enlarge as appropriate like this n'k (B2).
強調ヒストグラム作我手段（７）によク．全体のヒスト
グラム（Ｂ）又は関心領域（イ）以外のヒストグラムと
，上記の関心領域のヒストグラム（Ｂ２）とを合或し，
第２１Ｊ（Ｃ）のように関心領域に対応する部分が強調
されたヒヌトグラム（Ｄ） ｗ得る。Based on the emphasis histogram creation method (7). Combine the whole histogram (B) or the histogram other than the region of interest (A) with the histogram of the region of interest (B2),
A hinutogram (D) is obtained in which the portion corresponding to the region of interest is highlighted as shown in the 21st J (C).
次にグレースケーｐ作成手段（８）によＤ．データ処理
装置（２）に予め記憶されている原画像の標準的Ｚグレ
ースケー／Ｉ／（たとえば第３図（ａ）の曲１／ｓ（ロ
）とぱ別に．関心預域の部分が拡大され．他の部分が圧
縮された強調グレースケーＮ＜Ｆ’）ｋ形吠する。Next, D. The standard Z gray scale /I/ of the original image stored in advance in the data processing device (2) (for example, separately from the song 1/s (b) in Fig. 3(a). The area of interest is enlarged. The other parts are compressed and emphasized grayscale N<F').
この強調グレースケー／Ｌ’は記憶手段（９）に１時記
憶し，データ処理装置（２）に保持されている画像（４
）のデータとともに画像表示装置（３）に入力し第４図
（Ｃ）のように関心領域（イ）の部分が強調された画像
（Ａ２）紫得ることができる。This emphasized grayscale /L' is temporarily stored in the storage means (9) and the image (4) held in the data processing device (2).
) is input to the image display device (3), and an image (A2) purple in which the region of interest (A) is highlighted can be obtained as shown in FIG. 4(C).
画像中の関心領域部分の強調度￥−ｌｍｌ整手段はたと
えば関心領域の部分ヒストグラムの拡大率を変化すれば
．以下の（７）〜（９）及び（２１ ． （３１の動作
が連動するように構或して》くなとの方式にょク容易に
実施でき，表示装置（３）の画像を観察したから強調度
を調節して，最適の画像制御情報が画像データとともに
データ処理装置（２）に記憶される。For example, the enhancement degree of the region of interest in the image can be adjusted by changing the magnification rate of the partial histogram of the region of interest. The following (7) to (9) and (21. (constructed so that the operations in 31 are linked) can be easily carried out by the Kunato method, and by observing the image on the display device (3). The degree of emphasis is adjusted and optimal image control information is stored in the data processing device (2) together with the image data.
（８）に入力して，強調ヒストグラム（Ｂ） ’ｋ作ら
ずに．直接に強調グレースケー／Ｌ’（Ｆ）を作或する
ように構或してもよい。この場合（８）の構或は若干変
更される。(8) without creating an enhanced histogram (B). It may also be arranged to directly create an enhanced grayscale/L'(F). In this case, the structure of (8) is slightly modified.
（ト） 効 果
本発明によク．ｇＫ画像での濃淡の順序を変えずに，画
像中の関心領域，たとえば特定の臓器の濃淡全精細に表
示することができる。(g) Effects of the present invention. Without changing the order of shading in a gK image, a region of interest in the image, for example, a specific organ, can be displayed in full detail.
オた場合によっては欠損部やバククグラウンド全構或し
ている臓柱などに焦点金当て．これを強調表示すること
もできる。Depending on the case, the focus may be placed on the defective part or the entire structure of the back ground, such as the visceral column. This can also be highlighted.
第１園は本発明の１実施例の画像処理装置の要部構或図
である。第２図〜第４図は本発明による画像強調過程の
説明図であり，第２図は原画像のヒストグラム（Ｂ）か
ら強調画像ヒストグラム（Ｄｉ ｋ形成する過程，第３
図（ａ）は原画像のグレーヌケール．同図（ｂ）は強調
画像用グレースケー／Ｌ／を示す。第４図（ａ）は原画
像．同ＩＪ （ｂ）は関心領域（イ）全示す図，同図（
Ｃ）は本発明による強調画像の例を示す。
１・・・計測装置 ２・・・データ処理装置３・・・
画像表示装置 ４・・・画像強調処理部５・・・画素
濃度ヒストグラム作或手段６・・・関心領域ヒストグラ
ム抽出手段７・・・強調ヒストグラム作１ｉ１ｔ手段８
・・・強調グレースケール作或手段
９・−グレースケーμ記憶手段
代地人弁理士武石靖
激，１．）曜Ｌ，
（ｎ）
（ｂ）
−６３２
（Ｃ）The first diagram is a diagram showing the main part structure of an image processing apparatus according to an embodiment of the present invention. 2 to 4 are explanatory views of the image enhancement process according to the present invention, and FIG. 2 shows the process of forming an enhanced image histogram (Di k) from the histogram (B) of the original image,
Figure (a) shows the original image of gray scale. FIG. 6(b) shows grayscale /L/ for the emphasized image. Figure 4(a) is the original image. The same IJ (b) is a diagram showing the entire region of interest (a), and the same figure (
C) shows an example of an enhanced image according to the invention. 1...Measuring device 2...Data processing device 3...
Image display device 4... Image enhancement processing unit 5... Pixel density histogram creation means 6... Region of interest histogram extraction means 7... Emphasis histogram creation 1i1t means 8
...Emphasis grayscale production method 9 - Grayscale μ storage method Patent attorney Yasugeki Takeishi, 1. ) Day L, (n) (b) -632 (C)
Claims (1)
を作成する手段と、これに基いて、このヒストグラムに
対応する部分が重みづけされた前記画像のグレースケー
ルを作成する手段と、これに基いて前記特定領域が強調
された画像を形成する手段とをそなえたことを特徴とす
る、画像処理装置。means for creating a histogram of the density of each pixel in a particular region in an image; and means for creating a gray scale of the image in which a portion corresponding to the histogram is weighted based on the histogram; and means for forming an image in which the specific area is emphasized based on the image processing apparatus.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP1239521A JPH03102478A (en) | 1989-09-14 | 1989-09-14 | Image processing device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP1239521A JPH03102478A (en) | 1989-09-14 | 1989-09-14 | Image processing device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH03102478A true JPH03102478A (en) | 1991-04-26 |
Family
ID=17046038
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP1239521A Pending JPH03102478A (en) | 1989-09-14 | 1989-09-14 | Image processing device |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH03102478A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007124604A (en) * | 2005-09-29 | 2007-05-17 | Fujifilm Corp | Image processing apparatus and processing method thereof |
| US7259894B2 (en) | 1997-06-09 | 2007-08-21 | Seiko Epson Corporation | Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded |
| JP2009205699A (en) * | 2009-06-15 | 2009-09-10 | Seiko Epson Corp | Image evaluation method, medium having image evaluation program recorded thereon, and image evaluation device |
| JP2010521719A (en) * | 2007-03-14 | 2010-06-24 | オリンパス株式会社 | Image processing system and image processing program |
| JP2010165379A (en) * | 2010-04-26 | 2010-07-29 | Seiko Epson Corp | Image evaluation method, medium having image evaluation program recorded thereon, and image evaluation device |
| JP2012128881A (en) * | 2012-03-21 | 2012-07-05 | Olympus Corp | Image processing method |
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|---|---|---|---|---|
| JPS6242286A (en) * | 1985-08-20 | 1987-02-24 | Hitachi Medical Corp | Picture processing method |
| JPS6342575A (en) * | 1986-08-08 | 1988-02-23 | Dainippon Screen Mfg Co Ltd | Method and device for gradation conversion |
-
1989
- 1989-09-14 JP JP1239521A patent/JPH03102478A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6242286A (en) * | 1985-08-20 | 1987-02-24 | Hitachi Medical Corp | Picture processing method |
| JPS6342575A (en) * | 1986-08-08 | 1988-02-23 | Dainippon Screen Mfg Co Ltd | Method and device for gradation conversion |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7259894B2 (en) | 1997-06-09 | 2007-08-21 | Seiko Epson Corporation | Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded |
| US7508548B2 (en) | 1997-06-09 | 2009-03-24 | Seiko Epson Corporation | Image processing method and image processing apparatus |
| US7755801B2 (en) | 1997-06-09 | 2010-07-13 | Seiko Epson Corporation | Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded |
| US7940426B2 (en) | 1997-06-09 | 2011-05-10 | Seiko Epson Corporation | Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded |
| US8553285B2 (en) | 1997-06-09 | 2013-10-08 | Seiko Epson Corporation | Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded |
| US8681380B2 (en) | 1997-06-09 | 2014-03-25 | Seiko Epson Corporation | Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded |
| US8867099B2 (en) | 1997-06-09 | 2014-10-21 | Seiko Epson Corporation | Image processing apparatus, an image processing method, a medium on which an image processing control program is recorded, an image evaluation device, an image evaluation method and a medium on which an image evaluation program is recorded |
| JP2007124604A (en) * | 2005-09-29 | 2007-05-17 | Fujifilm Corp | Image processing apparatus and processing method thereof |
| JP2010521719A (en) * | 2007-03-14 | 2010-06-24 | オリンパス株式会社 | Image processing system and image processing program |
| JP2009205699A (en) * | 2009-06-15 | 2009-09-10 | Seiko Epson Corp | Image evaluation method, medium having image evaluation program recorded thereon, and image evaluation device |
| JP2010165379A (en) * | 2010-04-26 | 2010-07-29 | Seiko Epson Corp | Image evaluation method, medium having image evaluation program recorded thereon, and image evaluation device |
| JP2012128881A (en) * | 2012-03-21 | 2012-07-05 | Olympus Corp | Image processing method |
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