JP2007087306A - Target image designating and generating system - Google Patents

Target image designating and generating system Download PDF

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JP2007087306A
JP2007087306A JP2005278046A JP2005278046A JP2007087306A JP 2007087306 A JP2007087306 A JP 2007087306A JP 2005278046 A JP2005278046 A JP 2005278046A JP 2005278046 A JP2005278046 A JP 2005278046A JP 2007087306 A JP2007087306 A JP 2007087306A
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target image
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Tomoharu Nagao
智晴 長尾
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Yokohama National University NUC
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Abstract

<P>PROBLEM TO BE SOLVED: To easily generate a target image and a weight image not with manual work but by designating a part of an original image, in a progressive image processing system being an image recognition processing system wherein three images of the original image, the target image, and the weight image are input to a computer to extract an image equivalent to the target image by combining a plurality of kinds of preliminarily prepared image processing filters. <P>SOLUTION: A part of a displayed original image 21 is indicated as an area, and positional information of the indicated area is calculated, and image information corresponding to the part of the original image indicated as the area is copied from the original image, and the copied image information is stored as a target image 22 in a storage part having the same size as the original image in accordance with the calculated positional information, and a weight image 23 is generated from the target image. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

本発明は、原画像と目標画像と重み画像の三つの画像を計算機に入力して、あらかじめ用意した複数種の画像処理フィルタを組み合わせることによって、目標画像相当の画像を抽出する画像認識処理方式である進化的画像処理方式において、目標画像と重み画像を手作業で作成するのではなく原画像の一部を指定することによって簡易に目標画像と重み画像を作成しようとするものである。   The present invention is an image recognition processing method for extracting an image corresponding to a target image by inputting three images of an original image, a target image, and a weighted image to a computer and combining a plurality of types of image processing filters prepared in advance. In an evolutionary image processing method, a target image and a weight image are easily created by designating a part of an original image instead of manually creating a target image and a weight image.

従来の進化的画像処理方式（非特許文献１）では、入力画像の１つである目標画像をペイントソフトなどの画像編集ツールを用いて手作業で作成する方法で実現さてれてきたが、例えば傷などを検出する画像処理の場合には傷の情報を含む原画像をもとに、画像編集ツールを駆使して目標画像を作成してきた。そのため目標画像作成に時間がかり、傷検査用装置への画像処理機能の反映に時間がかかるという問題があった。
長尾智晴著「進化的画像処理」昭晃堂、２００２年５月、ｐ．８７ The conventional evolutionary image processing method (Non-patent Document 1) has been realized by a method of manually creating a target image that is one of input images using an image editing tool such as paint software. In the case of image processing for detecting flaws and the like, a target image has been created using an image editing tool based on an original image including flaw information. Therefore, there is a problem that it takes time to create a target image, and it takes time to reflect the image processing function on the device for inspecting scratches.
Tomoharu Nagao “Evolutionary Image Processing” Shoshodo, May 2002, p. 87

進化的画像処理方式において入力情報として必須の目標画像と重み画像を短時間で簡易に作成することを目的に、もう一方の必須の入力情報である原画像の一部を指定するだけで目標画像を自動的に作成するようにしたものである。   In order to create target images and weighted images that are indispensable as input information in the evolutionary image processing method in a short time, the target image is simply specified by specifying a part of the original image that is the other essential input information. Is created automatically.

本発明に係る進化的画像処理システムは、
原画像を入力する手段と、入力された原画像を記憶する手段と、記憶された原画像を表示する手段と、表示された原画像の一部を領域として指示する手段と、指示された領域の位置情報を算出する手段と、該領域で指示された原画像の一部に該当する画像情報を原画像の記憶手段から複写する手段と、複写した画像情報を算出した位置情報にしたがって原画像と同一サイズの記憶部に目標画像として記憶する手段と、原画像を記憶した手段からの出力画像を原画像として入力する手段と、目標画像として記憶した手段からの出力画像を入力する手段と、該目標画像から作成された重み画像を記憶する手段を有することを特徴とする。 An evolutionary image processing system according to the present invention includes:
Means for inputting original image, means for storing input original image, means for displaying stored original image, means for indicating part of displayed original image as area, indicated area Means for calculating the position information of the original image, means for copying the image information corresponding to a part of the original image specified in the area from the storage means for the original image, and the original image according to the position information for calculating the copied image information Means for storing as a target image in a storage unit of the same size, means for inputting an output image from the means for storing the original image as an original image, means for inputting an output image from the means for storing as the target image, It has a means which memorize | stores the weight image produced from this target image, It is characterized by the above-mentioned.

本方式は従来手法である進化的画像処理方式に比較して目標画像と重み画像が簡易に作成できることから例えば傷を検出する画像処理を実現する場合、新たに傷として人間が認知した時即傷の画像を目標画像と重み画像して進化的画像処理システムに入力できるようになるため、即応性の高い傷検査システムの構築が可能となる。   Compared to the conventional evolutionary image processing method, this method can easily create target images and weighted images. For example, when realizing image processing to detect scratches, humans immediately recognize new scratches Therefore, it is possible to input a weight image with the target image and input it to the evolutionary image processing system, so that it is possible to construct a highly responsive scratch inspection system.

実施の形態１．
図１は進化的画像処理方式を適用した画像処理システムに情報入力することが必要な１１の原画像の例と１２の目標画像の例であり、進化的画像処理方式は原画像１１から目標画像１２で示した画像を抽出することを目的したものである。 Embodiment 1 FIG.
FIG. 1 shows examples of 11 original images and 12 target images that need to be input into an image processing system to which an evolutionary image processing method is applied. The purpose is to extract the image shown at 12.

図２は２１の原画像の一部を指定して２２の目標画像を自動生成する例を示したものであり、原画像２１の線で囲まれた内部の画像を元にして目標画像２２を、さらに原画像と目標画像の画素ごとの輝度値の差に重み付けをするための重み画像２３を自動的に生成する。   FIG. 2 shows an example in which a part of 21 original images is specified and 22 target images are automatically generated. The target image 22 is generated based on an internal image surrounded by a line of the original image 21. Further, a weighted image 23 for automatically weighting the difference in luminance value for each pixel of the original image and the target image is automatically generated.

図３は進化的画像処理方式による画像処理システムの実施例であり、３１は全体を制御する制御部、３２は原画像を画像処理システムに入力するための画像入力部、３３は画像入力部３２から入力された原画像を記憶する原画像記憶部、３４は原画像記憶部３３に記憶された画像などを表示する表示部、３５は操作者によって指示された表示部３４上の表示画像の位置情報を制御部３１に渡す画像指示部、３６は予めクリアされた記憶内容を制御部３１の制御によって画像指示部３５で指定さたれ原画像の一部を原画像記憶部３３からコピーして書き込まれた画像を目標画像として記憶する目標画像記憶部、３７は制御部３１の制御のもとに目標画像から原画像と目標画像の画素ごとの輝度値の差に重み付けをするために作成された重み画像を記憶する重み画像記憶部、３８は制御部３１の制御によって原画像記憶部３３と目標画像記憶部３６と重み画像記憶部３７の各々の画像を原画像と目標画像として入力して原画像から目標画像相当の画像を抽出する進化的画像処処理部である。   FIG. 3 shows an embodiment of an image processing system based on an evolutionary image processing system, 31 is a control unit for controlling the whole, 32 is an image input unit for inputting an original image to the image processing system, and 33 is an image input unit 32. Is an original image storage unit that stores an original image input from, a display unit that displays an image stored in the original image storage unit 33, and a position of a display image on the display unit that is instructed by an operator. An image instructing unit 36 for passing information to the control unit 31, a part of the original image designated by the image instructing unit 35 under the control of the control unit 31 is copied from the original image storage unit 33 and written. The target image storage unit 37 for storing the obtained image as a target image is created to weight the difference in luminance value for each pixel of the original image and the target image from the target image under the control of the control unit 31. Weight image The weighted image storage unit 38 stores the images of the original image storage unit 33, the target image storage unit 36, and the weighted image storage unit 37 as the original image and the target image under the control of the control unit 31. It is an evolutionary image processing unit that extracts an image corresponding to an image.

動作はまず、操作者が制御部３１を操作することによって画像入力部３２から原画像１１を入力する。入力された画像は制御部３１の制御によって原画像記憶部３３に記憶され、さらにその画像は表示部３４に表示される。   First, the operator inputs the original image 11 from the image input unit 32 by operating the control unit 31. The input image is stored in the original image storage unit 33 under the control of the control unit 31, and the image is further displayed on the display unit 34.

その後、操作者は表示部３４に表示された原画像の中から抽出したい部分画像を見出してその部分を、画像指示部３５を操作して図２の２１に示したように自由な線で囲む操作を行う。制御部３１はその場所に囲まれたことを示す線を表示する処理をして表示部３４に囲まれたことを示す線を表示する。その後操作者によって目標画像作成指示が行われると制御部３１は原画像記憶部３３から画像を読み出し、その囲まれた場所に相当する画像をコピーして予めクリアされている目標画像記憶部３６の原画像のコピーしたその場所相当の位置に書き込む。   Thereafter, the operator finds a partial image to be extracted from the original image displayed on the display unit 34 and operates the image instruction unit 35 to surround the portion with a free line as shown in 21 of FIG. Perform the operation. The control unit 31 displays a line indicating that it is surrounded by the display unit 34 by performing a process of displaying a line indicating that it is surrounded by the place. Thereafter, when the operator issues a target image creation instruction, the control unit 31 reads the image from the original image storage unit 33, copies the image corresponding to the enclosed area, and clears the target image storage unit 36 that has been cleared in advance. Write the original image at the position corresponding to the copied location.

このことによって原画像２１から目標画像２２が生成される。   As a result, a target image 22 is generated from the original image 21.

さらに制御部３１は目標画像２２の実線の部分を内接に領域を最大の重みの１で重み付け、また白の領域を１／２５５に重み付けた画像を作成して重み画像記憶部３７に書き込む。   Further, the control unit 31 creates an image in which the solid line portion of the target image 22 is inscribed and the region is weighted by the maximum weight 1 and the white region is weighted by 1/255, and is written in the weighted image storage unit 37.

つづいて操作者のよって制御部３１に画像処理開始が指示されると、制御部３１は進化的画像処理部３８に画像処理を指示する。画像処理開始の指示を受けた進化的画像処理部３８は原画像記憶部３３、目標画像記憶部３６、重み画像記憶部３７の画像を入力画像として進化的画像処理を行う。 このようにして進化的画像処理が実行される。   Subsequently, when the operator instructs the control unit 31 to start image processing, the control unit 31 instructs the evolutionary image processing unit 38 to perform image processing. Receiving the instruction to start image processing, the evolutionary image processing unit 38 performs evolutionary image processing using the images in the original image storage unit 33, the target image storage unit 36, and the weighted image storage unit 37 as input images. In this way, evolutionary image processing is performed.

本発明によれば、目標画像と重み画像を手作業で作成するのではなく原画像の一部を指定・利用することによって目標画像と重み画像を自動的に作成しようとするものであることから、それらの画像作成時間の短縮や簡易さが達成できる。   According to the present invention, the target image and the weight image are not automatically created manually, but the target image and the weight image are automatically created by designating and using a part of the original image. Therefore, shortening and simplicity of the image creation time can be achieved.

本説明では画像処理を制御部３１によって各部を制御するように説明してきたが、この一連の処理は計算機内のプログラムよっても実現できる。   In this description, the image processing has been described as being controlled by the control unit 31, but this series of processing can also be realized by a program in the computer.

進化的画像処理方式を適用した画像処理システムに情報入力することが必要な原画像と目標画像の例を示す図である。It is a figure which shows the example of the original image and target image which need to input information into the image processing system to which the evolutionary image processing system is applied. 原画像の一部を指定して目標画像を自動生成する例を示す図であるIt is a figure which shows the example which designates a part of original image and generates a target image automatically 進化的画像処理方式による画像処理システムの実施例を示す図である。It is a figure which shows the Example of the image processing system by an evolutionary image processing system.

符号の説明Explanation of symbols

１１ 原画像、１２ 目標画像、２１ 原画像、２２ 目標画像、２３ 重み画像、
３１ 制御部、３２ 画像入力部、３３ 原画像記憶部、３４ 表示部、３５ 画像指示部、３６ 目標画像記憶部、３７ 重み画像記憶部、３８ 進化的画像処理部。
11 Original image, 12 Target image, 21 Original image, 22 Target image, 23 Weighted image,
31 control unit, 32 image input unit, 33 original image storage unit, 34 display unit, 35 image instruction unit, 36 target image storage unit, 37 weighted image storage unit, 38 evolutionary image processing unit.

Claims (1)

原画像を入力する手段と、入力された原画像を記憶する手段と、記憶された原画像を表示する手段と、表示された原画像の一部を領域として指示する手段と、指示された領域の位置情報を算出する手段と、該領域で指示された原画像の一部に該当する画像情報を原画像の記憶手段から複写する手段と、複写した画像情報を算出した位置情報にしたがって原画像と同一サイズの記憶部に目標画像として記憶する手段と、原画像を記憶した手段からの出力画像を原画像として入力する手段と、目標画像として記憶した手段からの出力画像を入力する手段と、該目標画像から作成された重み画像を記憶する手段を有することを特徴とする進化的画像処理システム。
Means for inputting original image, means for storing input original image, means for displaying stored original image, means for indicating part of displayed original image as area, indicated area Means for calculating the position information of the original image, means for copying the image information corresponding to a part of the original image specified in the area from the storage means for the original image, and the original image according to the position information for calculating the copied image information Means for storing as a target image in a storage unit of the same size, means for inputting an output image from the means for storing the original image as an original image, means for inputting an output image from the means for storing as the target image, An evolutionary image processing system comprising means for storing a weighted image created from the target image.
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