JP2003317089A - Method and system for image correction - Google Patents

Method and system for image correction

Info

Publication number
JP2003317089A
JP2003317089A JP2002121719A JP2002121719A JP2003317089A JP 2003317089 A JP2003317089 A JP 2003317089A JP 2002121719 A JP2002121719 A JP 2002121719A JP 2002121719 A JP2002121719 A JP 2002121719A JP 2003317089 A JP2003317089 A JP 2003317089A
Authority
JP
Japan
Prior art keywords
image
end portion
original image
overlap
boundary
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
JP2002121719A
Other languages
Japanese (ja)
Other versions
JP4184703B2 (en
Inventor
Naoki Kawai
直樹 河合
Original Assignee
Dainippon Printing Co Ltd
大日本印刷株式会社
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 Dainippon Printing Co Ltd, 大日本印刷株式会社 filed Critical Dainippon Printing Co Ltd
Priority to JP2002121719A priority Critical patent/JP4184703B2/en
Publication of JP2003317089A publication Critical patent/JP2003317089A/en
Application granted granted Critical
Publication of JP4184703B2 publication Critical patent/JP4184703B2/en
Application status is Active legal-status Critical
Anticipated expiration legal-status Critical

Links

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method and a system for image correction with high processing efficiency and superior reproducibility which can generate an image with an inconspicuous seam when images are joined and eliminate the need for operator's skillfulness and manual operation. <P>SOLUTION: A source image as an object of endless processing is inputted (S1). After an overlap quantity is set (S2), an overlap area is generated nearby an end of the source image (S3) and in this overlap area, an optimum border as a minimum error border is determined according to pixel values at the end of the source image and other ends (S4). According to the optimum border, the pixel values are corrected (S5) to output a corrected image after the endless processing (S6). <P>COPYRIGHT: (C)2004,JPO

Description

【発明の詳細な説明】 【0001】 【産業上の利用分野】本発明は、壁、床、天井等の建築物内装表面、家具、建具、造作部表面等を加飾する建材印刷物に利用される画像の作成に関し、特に繋ぎ目が目立たないようにシームレスなエンドレス画像を作成するための技術に関する。 Description: BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention, wall, floor, building interior surface such as a ceiling, furniture, fittings, are using the feature part surface and the like in the building materials printed materials decorative that relates to the creation of the image, a technique for especially joints to create a seamless endless image unobtrusively. 【0002】 【従来の技術】建材印刷物は、出版印刷物、商業用印刷物等の汎用印刷物に比べて、長さが非常に長い(長尺)。 [0002] building materials printed matter publishing printed matter, as compared with general-purpose printed matter, such as commercial printed matter, a very long length (long). 例えば、壁面に加飾する印刷物を考えると、建物の床から天井までの長さは、通常2.5m程度はあり、 For example, considering the printed material to be decorated on the wall, the length of the building from the floor-to-ceiling, there is usually about 2.5m,
また部屋の端から端までの水平方向長さも、6畳間の場合で、長辺が3.5m程度はある。 The horizontal length from the end of the room to the end even if between 6 mats, the long side of about 3.5m are. したがって、建材印刷物用の画像も、最低限その程度の長さは繋ぎ目なく連続し、一続きとなったエンドレスな画像、すなわちエンドレス画像が必要となる。 Accordingly, even an image of building materials printed matter, the minimum length of the extent of joint rather than continuous, endless image becomes a series, that is required endless image. 【0003】上記のような長尺の画像を印刷用版胴の1 [0003] of the printing plate cylinder an image of a long, such as described above 1
円周以内に収めることは不可能である。 It is impossible to fit within the circumference. そのため、1円周分の画像の印刷方向の始端部の辺と終端部の辺とを版胴上で接続して(繋いで)製版する。 Therefore, by connecting the first starting end of the printing direction of the circumference of an image side and the end portion side on the plate cylinder (connected at) platemaking. そして、印刷時に版胴が1回転するごとに1円周分の画像が途切れることなく繰返し印刷されることによって、任意の長さの長尺印刷物を得ている。 Then, by 1 the circumference of an image is repeatedly printed without interruption each time the plate cylinder rotates one during printing, to obtain a long printed matter of any length. 【0004】ただし、単に1円周分の画像の印刷方向の始端部の辺と終端部の辺とを突合わせて接続したのみでは、接続部(繋ぎ目)で画像が不連続となり、エンドレス画像は得られない。 [0004] However, by merely connected by butt and one of the starting end of the printing direction of the circumference of an image side and end portion side, the image becomes discontinuous at the connection (joint), an endless image not be obtained. 版胴画像のエンドレス化のためには、画像の繋ぎ目において、繋ぎ目を境界として両側画像の不連続部分を連続化して、繋ぎ目を目視で認識不能とする作業、すなわち、シームレス化が必要となる。 For endless of the plate cylinder image, in joint of images, sequentially the discontinuous portions of the both side image seams as a boundary, the task of the unrecognizable seams visually, i.e., seamless requires to become. 【0005】そこで、特に木目模様の場合は有効な、画像繋ぎ目のシームレス化による版胴画像のエンドレス化の手法として、特公昭43−2065号公報等記載のごとく、円周上の繋ぎ目を波形、あるいはジグザグの折れ線として、繋ぎ目自体を目立ち難い形状とし、かつ繋ぎ目近傍領域を熟練工が手作業で加筆、脱色、染色、削除等を行うことにより、画像の不連続を修正してシームレス化することが広く行われてきた(従来技術)。 [0005] Accordingly, effective especially for grain pattern, as a technique of endless of the plate cylinder image by seamless image seams, as described JP-B-43-2065, etc., the joint on the circumference waveform or as a line of a zigzag, and a hard shape conspicuous seams themselves, and Categories of joint neighboring region skilled workers manually bleaching, dyeing, by performing deletion, correct the discontinuity of the images seamlessly it has been widely performed to reduction (prior art). 【0006】又近年は、電子計算機を応用したデジタル画像処理技術の進歩によって、原稿画像をスキャナーで読込んでデジタルデータ化し、CRT等の表示装置上でマウス、タブレット、カーソル等により修正箇所を指定し、画面内の他の部分等から適当な画像をコピーして移植する等の手法により、より作業性を向上させることが試みられている(従来技術)。 [0006] In recent years, advances in digital image processing technology applied to an electronic computer, Nde read a document image by a scanner and digital data, a mouse, a tablet, a corrected portion by cursor or the like designated on the display device such as a CRT , by techniques such as implanting copy the appropriate image from such other parts of the screen, attempts have been made to further improve the workability (prior art). さらに、繋ぎ目のシームレス化の作業を両側画像の平均化演算処理によって、 Further, by averaging processing of both sides image work seamlessly of joints,
自動的に所定の式で計算することによって効率化する方法も提案されている(従来技術)。 How efficient by calculating automatically a predetermined formula is proposed (prior art). 【0007】 【発明が解決しようとする課題】しかしながら、上記従来技術においては、シームレス化は、全て熟練工の手作業によるため、作業効率が低く、かつ近年では熟練工の確保も困難となってきている。 [0007] The present invention is, however, in the above prior art, seamless, because manual all operatives working efficiency is low, and in recent years has become also difficult securing operatives . なおかつ、再版時に全く同一のシームレス処理の版を再現することも困難である。 Yet, it is also difficult to exactly reproduce a version of the same seamless processing at the time of reprint. 【0008】上記従来技術においては、シームレス化の作業にデジタル化、機械化した処理を採用することにより、上記従来技術に比べれば、画像の繋ぎ目等の工程については、作業の効率化は図れた。 [0008] In the prior art described above, digitized work seamless, by adopting a processing mechanized, compared to the prior art, the process of the joint, such as images were be measured in work efficiency . しかし、特にシームレス化の作業自体は、依然として熟練工の勘と手作業に依存する点においては、ほとんど改善にはなっていない。 However, in particular the work itself of seamless, in that it still depends on intuition and manual of skilled workers, not in a little improvement. 【0009】上記従来技術では、シームレス化の作業をもデジタル処理により自動化することによって効率化は図られた。 [0009] In the prior art, efficiency by automating the digital processing also work seamless was achieved. しかし、シームレス化が、単に両側の画像を繋ぎ目において加算(平均化)しているため、繋ぎ目近傍において、空間周波数の高周波成分が欠落し、画像の微細構造ないしは先鋭度が低下する。 However, seamless is simply because of the addition (averaging) in the first connecting both sides of the image, the joint vicinity, missing high frequency components of the spatial frequency, the microstructure or sharpness of the image is lowered. そのため、遠くから見ると依然として繋ぎ目が認識されてしまうという問題点が残ることになる。 Therefore, the remains that problem still seams when viewed from a distance from being recognized. 【0010】上記のような点に鑑み、本発明は、その精度が高く繋ぎ目が目立たない画像を作成することが可能であると共に、作業者の熟練、手作業が不要で処理効率が高く、かつ再現性に優れた画像修正方法およびシステムを提供することを課題とする。 [0010] In view of the points mentioned above, the present invention is to provide that it is possible to create an image inconspicuous accuracy is high seam, workers skilled, manual high unnecessary processing efficiency, and it is an object to provide an excellent image correction method and system reproducibility. 【0011】 【課題を解決するための手段】上記課題を解決するため、本発明では、同一の画像の端部と対向する端部を繋ぎ合わせた際に、その繋ぎ目が目立たないように画像を修正する方法として、修正対象となる原画像を入力する画像入力段階、原画像の繋ぎ目部分におけるオーバーラップ量を設定する段階、前記設定されたオーバーラップ量に基づいてオーバーラップ領域を作成する段階、前記入力された原画像の端部と対向する端部の境界を、前記オーバーラップ領域における前記端部の画素値と前記対向する端部の画素値の差が最小となる画素の累積に基づいて決定する段階、前記決定された境界に基づいて、前記原画像の端部および対向する端部の画素値を修正することにより修正画像を作成する段階を実行するようにしたこと [0011] In order to solve the above problems SUMMARY OF THE INVENTION In the present invention, when joining the end opposite the end portion of the same image, so that the joint is inconspicuous image as a method for correcting the image input step of inputting an original image to be corrected, setting a overlapping amount of the joint portion of the original image, to create an overlap region based on the overlap amount of the set step, the boundary of the end portion facing the end portion of the input original image, the cumulative pixel difference becomes the minimum pixel value of the end portion of the counter and pixel values ​​of the end portion in the overlap region determining based, based on the determined boundary, that said so as to perform the step of generating a corrected image by correcting the pixel value of the end of the end portion and the opposite of the original image を特徴とする。 The features. 【0012】本発明によれば、原画像の繋ぎ目部分におけるオーバーラップ量に基づいて作成されるオーバーラップ領域において、原画像の端部と対向する端部の境界をその画素値の差が最小となる画素の累積に基づいて決定するようにしたので、画像を複数配列した際にも、繋ぎ目が目立たない画像を作成することが可能となる。 According to the present invention, in the overlap region that is created based on the overlap amount in the joint portion of the original image, the boundary of the end portion facing the end portion of the original image is the difference between the pixel value Min since so as to determine based on the accumulation of pixels to be, when the image a plurality of rows, it becomes possible to create an image that joint inconspicuous. 【0013】 【発明の実施の形態】以下、図面を参照して本発明の一実施形態について詳細に説明する。 DETAILED DESCRIPTION OF THE INVENTION Hereinafter, with reference to the accompanying drawings, an embodiment of the present invention will be described in detail. (1.システム構成)まず、本発明に係る画像修正システムのシステム構成について説明する。 (1. System Configuration) First, a description will be given of a system configuration of an image correction system according to the present invention. 図1は、画像修正システムの一実施形態を示すシステム構成図である。 Figure 1 is a system configuration diagram showing an embodiment of the image correction system. 図1において、1は原画像入力手段、2はオーバーラップ量設定手段、3は演算制御装置、3aはオーバーラップ領域作成手段、3bは最適境界決定手段、3cは画素値修正手段、4は画像出力手段である。 In Figure 1, 1 is an original image input means, the overlap amount setting means 2, 3 are arithmetic and control unit, 3a are overlapped region forming means, 3b optimal boundary determining unit, 3c pixel value correction unit, 4 is an image which is the output means. 【0014】原画像入力手段1は、シームレス処理、エンドレス処理の対象となる原画像を入力するためのものであり、デジタルデータの読取装置で原画像データを読取らせることにより実現される。 The original image input means 1, the seamless processing is for inputting the subject to the original image of the endless processing is realized by to read the original image data by the reading apparatus of the digital data. また、原画像が紙媒体等に描画されている場合は、スキャナ、デジタルカメラ等を利用してデジタル化した後入力する。 Further, if the original image is drawn on a paper medium or the like, and inputs was digitized using a scanner, a digital camera or the like. オーバーラップ量設定手段2は、原画像の端部と対向する端部をどの程度オーバーラップ、すなわち重複させるかを設定するためのものであり、マウス、キーボード等の入力機器で実現される。 Overlap amount setting means 2, how much overlap an end portion facing the end portion of the original image, that is used for setting whether to duplicate, mice are realized by an input device such as a keyboard. 【0015】演算制御装置3は、本発明の中心的な役割を有するものであり、入力された原画像、設定されたオーバーラップ量に基づいて、原画像の両端部を修正することによりエンドレス化された修正画像を作成する機能を有している。 The arithmetic and control unit 3, which have a central role in the present invention, the endless by the input original image, based on the overlap amount, which is set to correct the both end portions of the original image and it has a function of creating a modified image that is. 実際には、コンピュータのCPU、メモリで構成され、メモリに専用のプログラムを読込み、C In practice, computer CPU, composed of a memory, reads the dedicated program in the memory, C
PUが順次実行することにより実現される。 PU is implemented by sequentially executing. 演算制御装置3は、さらにオーバーラップ領域作成手段3a、最適境界決定手段3b、画素値修正手段3cを有している。 The arithmetic and control unit 3 has more overlap region creating unit 3a, the optimal boundary determining unit 3b, and the pixel value correction unit 3c.
オーバーラップ領域作成手段3aは、入力された原画像のサイズおよび設定されたオーバーラップ量に基づいて、オーバーラップ領域のサイズを計算し、算出された大きさのメモリ空間を確保する機能を有している。 Overlap region creating unit 3a on the basis of the size and set the overlap amount of the input original image, to calculate the size of the overlap region, it has the function of securing the memory space of the calculated size ing. 最適境界決定手段3bは、オーバーラップ領域内の原画像の端部の画素値と対向する他の端部の画素値に基づいて原画像の端部と対向する他の端部の最適な境界を決定する機能を有している。 Optimal boundary determining unit 3b is the optimum boundaries of the other end opposite to the end portion of the original image based on the pixel values ​​of the other end portion of the pixel value and the opposite end of the original image within the overlap region It has a function of determining. 画素値修正手段3cは、決定された最適境界に基づいて原画像上の画素値を変更する機能を有している。 Pixel value correction unit 3c, on the basis of the determined optimum boundary has a function of changing a pixel value on the original image. オーバーラップ領域作成手段3a、最適境界決定手段3b、画素値修正手段3cはそれぞれ専用のプログラムをCPUで実行することにより実現される。 Overlap region creating unit 3a, the optimal boundary determining unit 3b, is realized by executing a dedicated program in CPU each pixel value correction unit 3c.
画像出力手段4は、作成された修正画像を出力する機能を有しており、画像を表示するためのディスプレイ装置、印刷するためのプリンター、データとして出力するためのハードディスク等の外部記憶装置、携帯可能な電子記録媒体への記録装置、さらにネットワークを介して遠隔地へ送信するための通信装置等が適用可能である。 The image output unit 4 has a function of outputting the corrected image created, the display device for displaying an image, a printer for printing, an external storage device such as a hard disk to output the data, mobile possible recording apparatus for electronic recording medium, such as a communication device for transmission to a remote location can be applied further through the network. 【0016】(2.処理の流れ)次に、本発明に係る画像修正方法について、図1に示した画像修正システムの処理動作と共に説明する。 [0016] (2. Processing Flow) Next, an image correction method according to the present invention, by referring to the processing operation of the image correction system shown in FIG. 図2は本発明に係る画像修正方法の概要を示すフローチャートである。 Figure 2 is a flowchart showing an outline of an image correction method according to the present invention. まず、原画像入力手段1より、エンドレス処理を行う対象となる原画像を入力する(ステップS1)。 First inputs an original image to be carried out from the original image input unit 1, an endless process (step S1). 次に、オーバーラップ量設定手段2を用いて、オーバーラップ量の設定を行う(ステップS2)。 Then, using the overlap amount setting means 2 performs the overlap amount setting (step S2). オーバーラップ量は、原画像の端部と対向する端部を互いにオーバーラップさせる量であり、このオーバーラップ量に基づいてオーバーラップ領域が決定される。 Overlap amount is an amount which overlapping ends facing the end of the original image, the overlap region is determined based on the overlap amount. オーバーラップ領域とは、原画像の端部と対向する端部の境界付近において、最適な境界を決定するための領域である。 The overlap region, in the vicinity of the boundary of the end portion facing the end portion of the original image, an area for determining the optimum boundaries. この最適境界決定処理を行わないと、原画像を複数並べた際に、互いの境界部で段差が目立つことになる。 Without this optimal boundary determination process, when arranging a plurality of original images, so that the level difference is noticeable with each other the boundary portion. 本実施形態では、オーバーラップ量の設定は、1方向で原画像の端部と対向する端部が互いに重なり合う画素数で設定される。 In the present embodiment, the amount of overlap setting is set by the number of pixels whose ends overlap each other to the end facing the original image in one direction. 【0017】続いて、入力された原画像のサイズ、および設定されたオーバーラップ量に基づいてオーバーラップ領域の作成を行う(ステップS3)。 [0017] Subsequently, the creation of the overlap region based on the size of the input original image, and set the overlap amount (step S3). 具体的には、オーバーラップ領域作成手段3aが、コンピュータの主記憶装置内にオーバーラップ領域として必要なメモリ空間の確保を行う。 Specifically, the overlap area creation unit 3a performs the securing of the required memory space as the overlap area in the main memory of a computer. 例えば、原画像G ORIのサイズ(画素数)が横xp×縦ypであったとする。 For example, the size of the original image G ORI (number of pixels) is assumed to be horizontal xp × vertical yp. このとき、図3 In this case, as shown in FIG. 3
(b)に示すように原画像G ORIをx軸方向(図中左右方向)に複数並べた際に、隣接する原画像G ORIと接する辺の長さ(画素数)はypであるので、オーバーラップ量がαであるとすると、yp×αの大きさのオーバーラップ領域Oが作成される。 The original image G ORI as shown in (b) when aligned plurality in the x-axis direction (horizontal direction in the drawing), the length of the side in contact with the adjacent original image G ORI (number of pixels) is the yp, When the overlap amount is assumed to be alpha, overlap area O of the size of yp × alpha is created. 本発明で処理する原画像G Original image G to be processed in the present invention
ORIは1つだけであり、図3(b)に示したように複数並べた場合の左右の画像は同じ原画像G ORIであるが、 ORI is only one, but the left and right image when arranging a plurality as shown in FIG. 3 (b) is the same as the original image G ORI,
ここでは説明の便宜上、一方を原画像G L 、他方を原画像G Rとする。 Here, for convenience of explanation, one original image G L, and the other is an original image G R. 図3(b)に示すように原画像G Lと原画像G Rにまたがってyp×αの大きさのオーバーラップ領域が作成されることになる。 Figure 3 overlap region size of yp × alpha is to be created across the original image G L and the original image G R as shown in (b). 【0018】オーバーラップ領域が作成されたら、次に、このオーバーラップ領域における原画像G Lと原画像G Rの最適な境界を決定する(ステップS4)。 [0018] When the overlapping area is created, then, to determine the optimum boundaries of the original image G L and the original image G R in the overlap area (step S4). 具体的には、オーバーラップ領域において、原画像G Lと原画像G Rの画素値の差の累計が最小となる最小誤差境界を求め、元の原画像の左辺、原画像の右辺の代わりに、 Specifically, in the overlap region, determining the minimum error boundaries cumulative difference between the pixel values of the original image G L and the original image G R is the smallest, the left side of the original source image, instead of the right side of the original image ,
求めた最小誤差境界を原画像G Lと原画像G Rの境界とする処理を行う。 The minimum error bound determined performs processing for the boundary of the original image G L and the original image G R. 求められた最小誤差境界が最適境界となる。 Minimum error bound obtained is optimal boundary. 【0019】このような最小誤差境界の決定の手法としては、種々のものが提案されているため、FloydやDijks [0019] As a method for such determination of the minimum error boundaries for various types have been proposed, Floyd and Dijks
traのアルゴリズム等の周知のものを適用すれば良いが、本実施形態における手法を具体的に説明する。 It may be applied to those of well-known algorithms such as the tra, but illustrating the method of the present embodiment in detail. 図4 Figure 4
にオーバーラップ量α=6とした場合の原画像G Lと原画像G Rのオーバーラップ領域O付近を示す。 It shows the overlap region around the O of the original image G L and the original image G R in the case where the overlap amount alpha = 6. 図4の例では、α=6であるため、オーバーラップ領域にはx軸方向(図の左右方向)に6画素分用意されることになる。 In the example of FIG. 4, since it is alpha = 6, will be prepared six pixels in the x-axis direction (lateral direction in the drawing) in the overlap region. このようなオーバーラップ領域の場合、まず、第1 For such overlapping area, firstly, the first
行目の6個の画素について、原画像G Lの画素値と原画像G Rの画素値との比較を行う。 About six pixels of row, and compares the pixel values of the original image G R of the original image G L. この両者の差を最小とする位置の算出には、一般にL 2距離として知られる値を用いる。 The calculation of the position of the difference of both the minimum, is used generally value known as L 2 distance. 例えば、ある画素Qにおいて、原画像G Lの画素Qに対応する画素値をQ L 、原画像G Rの画素Qに対応する画素値をQ Rとすると、L 2距離は、以下の〔数式1〕により算出される。 For example, in a certain pixel Q, the original image G Q pixel values corresponding to the pixels Q of the L L, the pixel value corresponding to the pixel Q of the original image G R When Q R, L 2 distance, the following [Equation It is calculated by 1]. 【0020】〔数式1〕 L 2 =( Q L − Q R2 【0021】オーバーラップ領域全域に渡って、この値を計算すると、この配列はちょうどそこを境界とした誤差のマップになる。 [0020] [Equation 1] L 2 = (Q L - Q R) 2 [0021] over the overlap region whole, calculating this value, this sequence is just there to map the error that the boundary. したがって、この(6×yp)画素の領域で上端(第1行目)から下端(第yp行目)に至る全ての経路について、途中の各要素のL 2を累積していき、この累積したコスト(値)が最も小さな経路を、 Thus, for every path leading to the (6 × yp) lower in the region of pixels from the upper end (first row) (first yp row), continue to accumulate L 2 of each element in the middle, and the cumulative cost (value) to the smallest path,
最も好ましい境界とするのである。 It is taken as the most preferred boundary. なお、対象としている画像がカラーの場合は、各色に対応したチャンネルのL 2の値の総和をとるものとする。 Note that the image as an object is in the case of color, it is assumed to take the sum of the values of L 2 channels corresponding to the respective colors. このようにして、累積したコスト(値)が最も小さな経路を決定していくことにより、最小誤差境界が得られる。 In this way, by accumulated cost (value) will determine the smallest path, the minimum error bound is obtained. 【0022】最適境界が決定されたら、決定された最適境界に基づいて、画素値修正手段3cが、原画像の画素値の修正を行う(ステップS5)。 [0022] Once the optimal boundary is determined, based on the determined optimum boundary, pixel value correction unit 3c performs the correction of the pixel value of the original image (step S5). 例えば、オーバーラップ領域において、図5に示すような最小誤差境界が得られた場合を考えてみる。 For example, in the overlap region, the minimum error bound as shown in FIG. 5 consider the case obtained. 図5において、網掛けで示す画素が最小誤差境界である。 5, pixels indicated by hatching is the minimum error bound. この場合、最小誤差境界よりも左側にある画素は、原画像G Lの画素値を採用し、 In this case, the pixel to the left than the minimum error bound adopts the pixel value of the original image G L,
最小誤差境界よりも右側にある画素は、原画像G Rの画素値を採用する。 Pixels to the right than the minimum error bound employs the pixel value of the original image G R. また、本実施形態では、最小誤差境界上に存在する画素については、原画像G Lと原画像G Rの画素値の平均を採るものとしている。 Further, in the present embodiment, for the pixels present on the minimum error boundary, it is assumed that taking an average of the pixel values of the original image G L and the original image G R. 図5において、 In FIG. 5,
「L」で示された画素は原画像G Lの画素値が、「R」 Pixel value of the indicated pixel is the original image G L at "L", "R"
で示された画素は原画像G Rの画素値がそれぞれ与えられることを示している。 Pixels shown in indicates that the pixel value of the original image G R are given respectively. 原画像の画素値を修正することにより修正画像が得られたら、画像出力手段4より出力する(ステップS6)。 When corrected image is obtained by correcting the pixel values ​​of the original image, and outputs from the image output unit 4 (step S6). 【0023】ここで、最小誤差境界の求め方の概要を整理しておく。 [0023] In this case, advance to organize an overview of obtaining the minimum error boundary. 最小誤差境界の求め方の概要を図6のフローチャートに示す。 Description of obtaining the minimum error bound is shown in the flowchart of FIG. 最小誤差境界を求めるためには、まず、第1行目の全画素(図の例では6画素)について各画素におけるL 2値を累積コストとして記憶する(ステップS11)。 To determine the minimum error bound, first (in the example of FIG. 6 pixels) all the pixels in the first row for storing L 2 values at each pixel as a cumulative cost (step S11). 続いて、第2行目の各画素について、自身の左上、真上、右上の画素について、最小の累積コストを持つものを、この画素に至る最短経路として記憶すると共に、その上側の画素の累積コストに自身のL 2値を加算したものを、自身の累積コストとして記憶する(ステップS12)。 Next, for each pixel of the second row, the upper left of itself, just above, the upper right pixel, the one with the lowest accumulated cost, stores as the shortest path to the pixel, the accumulation of the upper pixel those obtained by adding its own L 2 value cost, is stored as the accumulated cost of its own (step S12). このステップS12の処理を最終行、図4、図5の例では第yp行目まで繰り返す。 Processing the last line of this step S12, FIG. 4, in the example of FIG. 5 are repeated until the yp row. 最終行の全画素のうち、最小の累積コストを持つ画素とそこに至る経路を最小誤差境界とする(ステップS13)。 Among all the pixels in the last row, the minimum error boundary pixels and path therein with the lowest accumulated cost (step S13). 【0024】この結果、図3(b)に示したオーバーラップ領域Oには、図7(a)に示すような最適境界Bが得られることになる。 [0024] As a result, the overlap region O shown in FIG. 3 (b), so that the optimum boundary B as shown in FIG. 7 (a) is obtained. 図7(a)において、最適境界B In FIG. 7 (a), the optimum boundary B
の右側は原画像G Rの画素値、最適境界Bの左側は原画像G Lの画素値が与えられることになる。 Right pixel values of the original image G R, the left of the optimal boundary B will be given a pixel value of the original image G L of. これは、直感的には、原画像をx軸方向に並べる際に、矩形の原画像の代わりに、図7(b)に示すような最適境界によって区切られた画像を並べるイメージとなる。 This is intuitive, when arranging the original image in the x-axis direction, instead of the rectangular original image, the image arranging the images separated by the optimal boundary as shown in FIG. 7 (b). しかし、図7 However, as shown in FIG. 7
(b)に示すように画像の形状が、最適境界で示したような曲線であるのは現実的ではない。 (B) the shape of the image as shown in, it's is not realistic curved as shown in optimum boundaries. 実際には、原画像の片側(例えば右側)のオーバーラップ領域を削除し、 In practice, it removes the overlap region on one side (e.g., right side) of the original image,
その領域の最適境界より右側の画素値を、対応する左側のオーバーラップ領域にコピーする。 Copying right pixel values ​​from the optimum boundary of the area, the overlap area of ​​the corresponding left. 具体的には、図7 Specifically, FIG. 7
(c)に示すように、原画像G ORIのP Lで示した領域の画素に、P R 'で示した領域の画素がコピーされ、原画像G ORIのP Rで示した領域およびP R 'で示した領域が削除されることになる。 As shown in (c), the pixels in the region indicated by the original image G ORI of P L, P R 'in the copied pixels of the region indicated that the region indicated by the original image G ORI of P R and P R region shown is to be deleted '. すなわち、上記説明においては、説明の便宜上、図3(b)に示したように2つの画像を並べた状態で説明したが、実際には、1つの原画像の両端部(図3(a)および図7(c)の例では左右の両端部)の画素値に対して修正と削除が行われる。 That is, in the above description, for convenience of explanation, has been described in the state of arranging the two images as shown in FIG. 3 (b), in fact, both end portions of one of the original images (FIGS. 3 (a) and in the example shown in FIG. 7 (c) deleting and modifying the pixel value of the left and right end portions of) it is performed. このようにして得られた修正画像をx軸方向に複数並べていくことにより、繋ぎ目が目立たなくなる。 By this way we correction image obtained by arranging a plurality in the x-axis direction, inconspicuous joint. 【0025】上記の例では、原画像をx軸方向に複数配列する場合にエンドレス画像となるように画像の修正を行ったが、y軸方向に複数配列する場合であってもx軸とy軸が入れ替わるだけであり、本質的には同様の処理が行われる。 [0025] In the above example, the original image and fixes the image so that the endless image when a plurality of sequences in the x-axis direction, and the x-axis even when a plurality arranged in y-axis direction y axis there is only replaced, essentially the same process is performed. また、x軸方向、y軸方向の双方に画像を配列する場合には、x軸方向、y軸方向の双方に上記画像修正処理を行うことにより、縦横の2次元に画像を配列した場合でも全ての繋ぎ目が目立たないような修正画像を得ることが可能となる。 Moreover, x-axis direction, in the case of arranging the images in both the y-axis direction, x-axis direction, by performing the image correction process in both the y-axis direction, even if an array of image in a two-dimensional vertical and horizontal it is possible that all joints to obtain a modified image as inconspicuous. 【0026】また、上記の例では、同一の画像を複数並べる場合について説明したが、接続する辺の長さ(画素数)が等しい複数の画像を順に繋ぎ目を目立たないように接続し、左端の画像の左端部と右端の画像の右端部を同様にオーバーラップ領域で最適境界で接続することで、シームレスな画像を作成することもできる。 Further, in the above example, the description has been given of the case of arranging a plurality of the same image, the length of the side connecting (number of pixels) connects a plurality of images equal unobtrusively seams in order, left by connecting with the left end and the right end of the same optimal boundaries in the overlap region at the right end portion of the image of the image, it is also possible to create a seamless image. 例えば、図3(b)、図7(a)の原画像G R 、原画像G Lとして別の画像を利用して修正処理を行うことになる。 For example, FIG. 3 (b), to be carried out the original image G R of FIG. 7 (a), the correction processing using another image as the original image G L. 【0027】 【発明の効果】以上、説明したように本発明によれば、 [0027] [Effect of the Invention] According to the present invention, as described,
エンドレス画像となるように修正すべき原画像を入力し、隣接する原画像とのオーバーラップ量を設定し、設定されたオーバーラップ量に基づいてオーバーラップ領域を作成し、入力された原画像の端部と対向する端部の境界を、オーバーラップ領域における前記端部の画素値と対向する端部の画素値の差が最小となる画素の累積に基づいて決定し、決定された境界に基づいて、原画像の端部の画素値を修正することによりエンドレス画像を作成するようにしたので、複数配列した際にも、繋ぎ目が目立たない画像を作成することが可能となるという効果を奏する。 Enter the original image to be corrected so that the endless image, set the amount of overlap between adjacent original image, to create an overlap region based on the overlap amount that is set, the input original image the boundary of the end portion facing the end portion, the difference between the pixel values ​​of the end facing the pixel values ​​of the edge is determined based on the accumulation of pixels having the minimum in the overlap region, based on the determined boundary Te, since so as to create an endless image by correcting the pixel value of the end portion of the original image, even when a plurality sequences, an effect that it is possible to create an image that joint inconspicuous .

【図面の簡単な説明】 【図1】本発明に係る画像修正システムの構成図である。 It is a configuration diagram of an image correction system according to the BRIEF DESCRIPTION OF THE DRAWINGS [Figure 1] present invention. 【図2】本発明に係る画像修正方法のフローチャートである。 Is a flow chart of the image correction method according to the invention; FIG. 【図3】原画像G ORI 、および原画像G ORIを複数並べる場合のオーバーラップ領域Oの関係を示す図である。 3 is a diagram showing the relationship between the overlap region O of the case of arranging plural original images G ORI, and the original image G ORI. 【図4】オーバーラップ領域O付近を示す図である。 4 is a diagram illustrating an overlap region near O. 【図5】最適境界決定後のオーバーラップ領域O付近を示す図である。 5 is a diagram illustrating an overlap region near O after optimal boundary determination. 【図6】最小誤差境界の求め方の概要を示すフローチャートである。 6 is a flowchart showing the outline of obtaining the minimum error boundaries. 【図7】最適境界決定により得られる修正画像の状態を示す図である。 7 is a diagram showing a state of a corrected image obtained by the optimum boundary determining. 【符号の説明】 1・・・原画像入力手段2・・・オーバーラップ量設定手段3・・・演算制御装置3a・・・オーバーラップ領域作成手段3b・・・最適境界決定手段3c・・・画素値修正手段4・・・画像出力手段 [Description of Reference Numerals] 1 ... original image input means 2, ... overlap amount setting means 3 ... arithmetic and control unit 3a ... overlap region creating unit 3b ... optimal boundary determining unit 3c ... pixel value correction unit 4 ... image output unit

Claims (1)

  1. 【特許請求の範囲】 【請求項1】同一の画像の端部と対向する端部を繋ぎ合わせた際に、その繋ぎ目が目立たないように画像を修正する方法であって、 修正対象となる原画像を入力する画像入力段階と、 原画像の繋ぎ目部分におけるオーバーラップ量を設定する段階と、 前記設定されたオーバーラップ量に基づいてオーバーラップ領域を作成する段階と、 前記入力された原画像の端部と対向する端部の境界を、 When the joined ends and the opposing end of the Claims 1 Identical image, a method of modifying an image so that joint is inconspicuous, the correction target an image input step of inputting an original image, and setting the amount of overlap in the joint portion of the original image, the steps of creating an overlap region based on the overlap amount of the set, the original which is the input the boundary of the end portion facing the end portion of the image,
    前記オーバーラップ領域における前記端部の画素値と前記対向する端部の画素値の差が最小となる画素の累積に基づいて決定する段階と、 前記決定された境界に基づいて、前記原画像の端部および対向する端部の画素値を修正することにより修正画像を作成する段階と、 を有することを特徴とする画像修正方法。 The method comprising the difference between the pixel value of the end portion of the counter and pixel values ​​of the end portion in the overlap region is determined based on the accumulation of pixels having the minimum, based on the determined boundary, the original images image correction method characterized by comprising the steps of creating a corrected image by correcting the pixel value of the end of the end portion and the opposite, a. 【請求項2】修正対象となる原画像を入力する原画像入力手段と、 原画像の繋ぎ目部分におけるオーバーラップ量を設定するオーバーラップ量設定手段と、 前記設定されたオーバーラップ量に基づいてオーバーラップ領域を作成するオーバーラップ領域作成手段と、 前記入力された原画像の端部と対向する端部の境界を、 2. A source image input means for inputting an original image to be corrected, and the overlap amount setting means for setting the overlap amount in the joint portion of the original image, based on the overlap amount of the set overlap region creating means for creating an overlap region, the boundary of the end portion facing the end portion of the input original image,
    前記オーバーラップ領域における前記端部の画素値と前記対向する端部の画素値の差が最小となる画素の累積に基づいて決定する最適境界決定手段と、 前記決定された境界に基づいて、前記原画像の端部および対向する端部の画素値を修正することにより修正画像を作成する画素値修正手段と、 得られた修正画像を出力する画像出力手段と、 を有することを特徴とする画像修正システム。 And optimal boundary determining means the difference between the pixel value of the end portion of the counter and pixel values ​​of the end portion in the overlap region is determined based on the accumulation of pixels having the minimum, based on the determined boundary, the image and having a pixel value correction means for creating a corrected image by correcting the pixel value of the end of the end portion of the original image and face, and an image output means for outputting the corrected image obtained, the modify system. 【請求項3】コンピュータに、 修正対象となる原画像を入力する画像入力段階と、 原画像の繋ぎ目部分におけるオーバーラップ量を設定する段階と、 前記設定されたオーバーラップ量に基づいてオーバーラップ領域を作成する段階と、 前記入力された原画像の端部と対向する端部の境界を、 To 3. A computer, an image input step of inputting an original image to be corrected, and setting the amount of overlap in the joint portion of the original image, the overlap on the basis of the overlap amount of the set a step of generating a region, the boundary of the end portion facing the end portion of the input original image,
    前記オーバーラップ領域における前記端部の画素値と前記対向する端部の画素値の差が最小となる画素の累積に基づいて決定する段階と、 前記決定された境界に基づいて、前記原画像の端部および対向する端部の画素値を修正することにより修正画像を作成する段階と、 を実行させるためのプログラム。 The method comprising the difference between the pixel value of the end portion of the counter and pixel values ​​of the end portion in the overlap region is determined based on the accumulation of pixels having the minimum, based on the determined boundary, the original images program for executing the steps of creating a modified image by correcting the pixel value of the end of the end portion and the opposite, a.
JP2002121719A 2002-04-24 2002-04-24 Image correction method and system Active JP4184703B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2002121719A JP4184703B2 (en) 2002-04-24 2002-04-24 Image correction method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2002121719A JP4184703B2 (en) 2002-04-24 2002-04-24 Image correction method and system

Publications (2)

Publication Number Publication Date
JP2003317089A true JP2003317089A (en) 2003-11-07
JP4184703B2 JP4184703B2 (en) 2008-11-19

Family

ID=29537536

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2002121719A Active JP4184703B2 (en) 2002-04-24 2002-04-24 Image correction method and system

Country Status (1)

Country Link
JP (1) JP4184703B2 (en)

Cited By (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005088251A1 (en) * 2004-02-27 2005-09-22 Intergraph Software Technologies Company Forming a single image from overlapping images
JP2005326944A (en) * 2004-05-12 2005-11-24 Hitachi Ltd Device and method for generating map image by laser measurement
US7787659B2 (en) 2002-11-08 2010-08-31 Pictometry International Corp. Method and apparatus for capturing, geolocating and measuring oblique images
JP2010272093A (en) * 2009-05-25 2010-12-02 Asahi Koyo Kk Image connecting method, device and program
US7873238B2 (en) 2006-08-30 2011-01-18 Pictometry International Corporation Mosaic oblique images and methods of making and using same
US7991226B2 (en) 2007-10-12 2011-08-02 Pictometry International Corporation System and process for color-balancing a series of oblique images
JP2011148184A (en) * 2010-01-21 2011-08-04 Dainippon Printing Co Ltd Texture data processor, method for processing texture data, program, device for manufacturing embossed plate, method for manufacturing embossed plate, and sheet
JP2012173424A (en) * 2011-02-18 2012-09-10 Canon Inc Image display apparatus and control method thereof
US8385672B2 (en) 2007-05-01 2013-02-26 Pictometry International Corp. System for detecting image abnormalities
US8401222B2 (en) 2009-05-22 2013-03-19 Pictometry International Corp. System and process for roof measurement using aerial imagery
US8477190B2 (en) 2010-07-07 2013-07-02 Pictometry International Corp. Real-time moving platform management system
US8520079B2 (en) 2007-02-15 2013-08-27 Pictometry International Corp. Event multiplexer for managing the capture of images
US8531472B2 (en) 2007-12-03 2013-09-10 Pictometry International Corp. Systems and methods for rapid three-dimensional modeling with real façade texture
US8588547B2 (en) 2008-08-05 2013-11-19 Pictometry International Corp. Cut-line steering methods for forming a mosaic image of a geographical area
US8593518B2 (en) 2007-02-01 2013-11-26 Pictometry International Corp. Computer system for continuous oblique panning
US8823732B2 (en) 2010-12-17 2014-09-02 Pictometry International Corp. Systems and methods for processing images with edge detection and snap-to feature
US9183538B2 (en) 2012-03-19 2015-11-10 Pictometry International Corp. Method and system for quick square roof reporting
US9262818B2 (en) 2007-05-01 2016-02-16 Pictometry International Corp. System for detecting image abnormalities
US9275080B2 (en) 2013-03-15 2016-03-01 Pictometry International Corp. System and method for early access to captured images
US9292913B2 (en) 2014-01-31 2016-03-22 Pictometry International Corp. Augmented three dimensional point collection of vertical structures
US9330494B2 (en) 2009-10-26 2016-05-03 Pictometry International Corp. Method for the automatic material classification and texture simulation for 3D models
US9612598B2 (en) 2014-01-10 2017-04-04 Pictometry International Corp. Unmanned aircraft structure evaluation system and method
US9753950B2 (en) 2013-03-15 2017-09-05 Pictometry International Corp. Virtual property reporting for automatic structure detection
US9881163B2 (en) 2013-03-12 2018-01-30 Pictometry International Corp. System and method for performing sensitive geo-spatial processing in non-sensitive operator environments
US9953112B2 (en) 2014-02-08 2018-04-24 Pictometry International Corp. Method and system for displaying room interiors on a floor plan
US10325350B2 (en) 2011-06-10 2019-06-18 Pictometry International Corp. System and method for forming a video stream containing GIS data in real-time
US10402676B2 (en) 2016-02-15 2019-09-03 Pictometry International Corp. Automated system and methodology for feature extraction

Cited By (62)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9811922B2 (en) 2002-11-08 2017-11-07 Pictometry International Corp. Method and apparatus for capturing, geolocating and measuring oblique images
US7787659B2 (en) 2002-11-08 2010-08-31 Pictometry International Corp. Method and apparatus for capturing, geolocating and measuring oblique images
US9443305B2 (en) 2002-11-08 2016-09-13 Pictometry International Corp. Method and apparatus for capturing, geolocating and measuring oblique images
US7995799B2 (en) 2002-11-08 2011-08-09 Pictometry International Corporation Method and apparatus for capturing geolocating and measuring oblique images
WO2005088251A1 (en) * 2004-02-27 2005-09-22 Intergraph Software Technologies Company Forming a single image from overlapping images
JP4533659B2 (en) * 2004-05-12 2010-09-01 株式会社日立製作所 Apparatus and method for generating map image by laser measurement
JP2005326944A (en) * 2004-05-12 2005-11-24 Hitachi Ltd Device and method for generating map image by laser measurement
US9805489B2 (en) 2006-08-30 2017-10-31 Pictometry International Corp. Mosaic oblique images and methods of making and using same
US7873238B2 (en) 2006-08-30 2011-01-18 Pictometry International Corporation Mosaic oblique images and methods of making and using same
US10489953B2 (en) 2006-08-30 2019-11-26 Pictometry International Corp. Mosaic oblique images and methods of making and using same
US9959653B2 (en) 2006-08-30 2018-05-01 Pictometry International Corporation Mosaic oblique images and methods of making and using same
US9437029B2 (en) 2006-08-30 2016-09-06 Pictometry International Corp. Mosaic oblique images and methods of making and using same
US8593518B2 (en) 2007-02-01 2013-11-26 Pictometry International Corp. Computer system for continuous oblique panning
US8520079B2 (en) 2007-02-15 2013-08-27 Pictometry International Corp. Event multiplexer for managing the capture of images
US9959609B2 (en) 2007-05-01 2018-05-01 Pictometry International Corporation System for detecting image abnormalities
US10198803B2 (en) 2007-05-01 2019-02-05 Pictometry International Corp. System for detecting image abnormalities
US9633425B2 (en) 2007-05-01 2017-04-25 Pictometry International Corp. System for detecting image abnormalities
US9262818B2 (en) 2007-05-01 2016-02-16 Pictometry International Corp. System for detecting image abnormalities
US8385672B2 (en) 2007-05-01 2013-02-26 Pictometry International Corp. System for detecting image abnormalities
US7991226B2 (en) 2007-10-12 2011-08-02 Pictometry International Corporation System and process for color-balancing a series of oblique images
US9503615B2 (en) 2007-10-12 2016-11-22 Pictometry International Corp. System and process for color-balancing a series of oblique images
US8531472B2 (en) 2007-12-03 2013-09-10 Pictometry International Corp. Systems and methods for rapid three-dimensional modeling with real façade texture
US9520000B2 (en) 2007-12-03 2016-12-13 Pictometry International Corp. Systems and methods for rapid three-dimensional modeling with real facade texture
US9836882B2 (en) 2007-12-03 2017-12-05 Pictometry International Corp. Systems and methods for rapid three-dimensional modeling with real facade texture
US9275496B2 (en) 2007-12-03 2016-03-01 Pictometry International Corp. Systems and methods for rapid three-dimensional modeling with real facade texture
US9972126B2 (en) 2007-12-03 2018-05-15 Pictometry International Corp. Systems and methods for rapid three-dimensional modeling with real facade texture
US10229532B2 (en) 2007-12-03 2019-03-12 Pictometry International Corporation Systems and methods for rapid three-dimensional modeling with real facade texture
US9898802B2 (en) 2008-08-05 2018-02-20 Pictometry International Corp. Cut line steering methods for forming a mosaic image of a geographical area
US10424047B2 (en) 2008-08-05 2019-09-24 Pictometry International Corp. Cut line steering methods for forming a mosaic image of a geographical area
US8588547B2 (en) 2008-08-05 2013-11-19 Pictometry International Corp. Cut-line steering methods for forming a mosaic image of a geographical area
US8401222B2 (en) 2009-05-22 2013-03-19 Pictometry International Corp. System and process for roof measurement using aerial imagery
US9933254B2 (en) 2009-05-22 2018-04-03 Pictometry International Corp. System and process for roof measurement using aerial imagery
JP2010272093A (en) * 2009-05-25 2010-12-02 Asahi Koyo Kk Image connecting method, device and program
US10198857B2 (en) 2009-10-26 2019-02-05 Pictometry International Corp. Method for the automatic material classification and texture simulation for 3D models
US9959667B2 (en) 2009-10-26 2018-05-01 Pictometry International Corp. Method for the automatic material classification and texture simulation for 3D models
US9330494B2 (en) 2009-10-26 2016-05-03 Pictometry International Corp. Method for the automatic material classification and texture simulation for 3D models
JP2011148184A (en) * 2010-01-21 2011-08-04 Dainippon Printing Co Ltd Texture data processor, method for processing texture data, program, device for manufacturing embossed plate, method for manufacturing embossed plate, and sheet
US8477190B2 (en) 2010-07-07 2013-07-02 Pictometry International Corp. Real-time moving platform management system
US8823732B2 (en) 2010-12-17 2014-09-02 Pictometry International Corp. Systems and methods for processing images with edge detection and snap-to feature
JP2012173424A (en) * 2011-02-18 2012-09-10 Canon Inc Image display apparatus and control method thereof
US10325350B2 (en) 2011-06-10 2019-06-18 Pictometry International Corp. System and method for forming a video stream containing GIS data in real-time
US9183538B2 (en) 2012-03-19 2015-11-10 Pictometry International Corp. Method and system for quick square roof reporting
US10346935B2 (en) 2012-03-19 2019-07-09 Pictometry International Corp. Medium and method for quick square roof reporting
US10311238B2 (en) 2013-03-12 2019-06-04 Pictometry International Corp. System and method for performing sensitive geo-spatial processing in non-sensitive operator environments
US9881163B2 (en) 2013-03-12 2018-01-30 Pictometry International Corp. System and method for performing sensitive geo-spatial processing in non-sensitive operator environments
US9753950B2 (en) 2013-03-15 2017-09-05 Pictometry International Corp. Virtual property reporting for automatic structure detection
US10311089B2 (en) 2013-03-15 2019-06-04 Pictometry International Corp. System and method for early access to captured images
US9805059B2 (en) 2013-03-15 2017-10-31 Pictometry International Corp. System and method for early access to captured images
US9275080B2 (en) 2013-03-15 2016-03-01 Pictometry International Corp. System and method for early access to captured images
US10181081B2 (en) 2014-01-10 2019-01-15 Pictometry International Corp. Unmanned aircraft structure evaluation system and method
US10181080B2 (en) 2014-01-10 2019-01-15 Pictometry International Corp. Unmanned aircraft structure evaluation system and method
US10204269B2 (en) 2014-01-10 2019-02-12 Pictometry International Corp. Unmanned aircraft obstacle avoidance
US10037464B2 (en) 2014-01-10 2018-07-31 Pictometry International Corp. Unmanned aircraft structure evaluation system and method
US10037463B2 (en) 2014-01-10 2018-07-31 Pictometry International Corp. Unmanned aircraft structure evaluation system and method
US10032078B2 (en) 2014-01-10 2018-07-24 Pictometry International Corp. Unmanned aircraft structure evaluation system and method
US10318809B2 (en) 2014-01-10 2019-06-11 Pictometry International Corp. Unmanned aircraft structure evaluation system and method
US9612598B2 (en) 2014-01-10 2017-04-04 Pictometry International Corp. Unmanned aircraft structure evaluation system and method
US10338222B2 (en) 2014-01-31 2019-07-02 Pictometry International Corp. Augmented three dimensional point collection of vertical structures
US9292913B2 (en) 2014-01-31 2016-03-22 Pictometry International Corp. Augmented three dimensional point collection of vertical structures
US9542738B2 (en) 2014-01-31 2017-01-10 Pictometry International Corp. Augmented three dimensional point collection of vertical structures
US9953112B2 (en) 2014-02-08 2018-04-24 Pictometry International Corp. Method and system for displaying room interiors on a floor plan
US10402676B2 (en) 2016-02-15 2019-09-03 Pictometry International Corp. Automated system and methodology for feature extraction

Also Published As

Publication number Publication date
JP4184703B2 (en) 2008-11-19

Similar Documents

Publication Publication Date Title
JP5123212B2 (en) Interpolation of panchromatic and color pixels
KR100497399B1 (en) Method and apparatus for quantizing a image by parallel handling
USRE42881E1 (en) Method and system for scanning images in a photo kiosk
CN101681506B (en) Noise reduced color image using panchromatic image
JP3886769B2 (en) Correction image generation apparatus and correction image generation program
US6411742B1 (en) Merging images to form a panoramic image
US6535650B1 (en) Creating high resolution images
US6771835B2 (en) Two-dimensional non-linear interpolation system based on edge information and two-dimensional mixing interpolation system using the same
JP3889650B2 (en) Image processing method, image processing apparatus, computer program, and recording medium
US20050008254A1 (en) Image generation from plurality of images
JP2007525770A (en) Technology to form a single image from multiple overlapping images
US8472753B2 (en) Method and system of adaptive reformatting of digital image
US6570612B1 (en) System and method for color normalization of board images
CN100527805C (en) Image projection system and image geometry corrector
EP0179373B1 (en) Method of processing picture data for printing process
US20050058362A1 (en) Image processing apparatus, image processing method and program
JPH07244568A (en) Method and device for preparing display screen
EP2221764A1 (en) Method of creating a composite image
JP3614324B2 (en) Interpolation method of the interpolation system and image of the image
JPH0746378A (en) Digital copying device
JP2000295463A (en) System for positioning scanned document and method therefor
JPH0765201A (en) Device and method for shape modeling
US6377711B1 (en) Methods and systems for detecting the edges of objects in raster images using diagonal edge detection
KR20000023784A (en) Method and apparatus for mosaic image construction
WO2005002240A1 (en) Method for calculating display characteristic correction data, program for calculating display characteristic correction data, and device for calculating display characteristic correction data

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20050418

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20080513

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20080520

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20080808

A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20080904

R150 Certificate of patent or registration of utility model

Free format text: JAPANESE INTERMEDIATE CODE: R150

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

Free format text: PAYMENT UNTIL: 20110912

Year of fee payment: 3

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

Free format text: PAYMENT UNTIL: 20110912

Year of fee payment: 3

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

Free format text: PAYMENT UNTIL: 20120912

Year of fee payment: 4

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

Free format text: PAYMENT UNTIL: 20120912

Year of fee payment: 4

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

Free format text: PAYMENT UNTIL: 20130912

Year of fee payment: 5