JP2013197848A - White balance auto-adjustment method for scanner - Google Patents

White balance auto-adjustment method for scanner Download PDF

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JP2013197848A
JP2013197848A JP2012062433A JP2012062433A JP2013197848A JP 2013197848 A JP2013197848 A JP 2013197848A JP 2012062433 A JP2012062433 A JP 2012062433A JP 2012062433 A JP2012062433 A JP 2012062433A JP 2013197848 A JP2013197848 A JP 2013197848A
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Zhang Xian Song
彰憲 宋
Chien-Sheng Chien
建生 錢
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Foxlink Image Technology Co Ltd
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Abstract

PROBLEM TO BE SOLVED: To provide a method for automatically adjusting the white balance of a scanner.SOLUTION: Disclosed is a method for automatically adjusting the white balance of a scanner, the method comprising: a first step of providing white light by using a light source to perform scanning so as to obtain an image; a second step of obtaining color values of red, green, and blue that consist background color of the image; a third step of calculating coefficient values on the basis of measured red, green, and blue color values of the background color, and on the basis of adjustment values in an adjustment table stored in advance in the scanner; and a final step of adjusting luminance ratios of red, green, and blue color values in the light source on the basis of the coefficient values. In this way, according to the described adjustment method, the scanner is enabled to obtain, on the basis of detecting reflected light, an image whose background color is close to white color, thus can achieve the effect of eliminating the background color in a document image during a scanning process to enable a convenient identification of the document image.

Description

本発明は一種のオートホワイトバランス調整方法に係り、特に、スキャナに適用されるオートホワイトバランス調整方法に関する。   The present invention relates to a kind of auto white balance adjustment method, and more particularly to an auto white balance adjustment method applied to a scanner.

ホワイトバランスは走査システム中の非常に重要な概念であり、それを通してカラー還元と色処理の一系列の問題を解決できる。いわゆるホワイトバランスとは、異なる光線条件下で、赤、緑、青の三原色の比を調整して、それらを混合後に白色となすことである。物体自身は反射光線によりそれ自身の色を表示するが、白色光源のカラー成分に変更があると、反射光の色に影響が生じ得て、直接或いは間接的に物体自身の色を変化させ、色差を形成し得る。このような現象は人工光線の場合に比較的容易に発生する。   White balance is a very important concept in scanning systems, through which a series of problems with color reduction and color processing can be solved. The so-called white balance is to adjust the ratio of the three primary colors of red, green and blue under different light conditions, and to make them white after mixing. The object itself displays its own color by reflected light, but if there is a change in the color component of the white light source, it can affect the color of the reflected light, changing the color of the object itself directly or indirectly, Color differences can be formed. Such a phenomenon occurs relatively easily in the case of artificial rays.

周知のスキャナは、通常、白色光源を走査される文書に照射し、反射光の赤、緑、青の色彩値を検出分析することで文書の画像を得る。実際の走査過程では、文書の背景が白色でない時、反射光の色は背景色の影響を受けて、文書内容認識の難度が増加する。得られる画像を文書内容自身の色に接近させ且つ認識に便利とするためには、ホワイトバランスの調整を実行することが重要であるのみならず、手動でソフトウエアを使用して画像に対して背景色除去の処理を実行する必要がある。   Known scanners usually illuminate a scanned document with a white light source and detect and analyze the red, green, and blue color values of reflected light to obtain an image of the document. In the actual scanning process, when the background of the document is not white, the color of the reflected light is affected by the background color, and the difficulty of recognizing the document content increases. In order for the resulting image to be close to the document's own color and convenient for recognition, it is not only important to perform white balance adjustments, but it can also be performed manually on the image using software. Background color removal processing needs to be executed.

本発明の主要な目的は、上述の周知の技術に存在する欠点に対して、走査過程中に文書画像中の背景色を除去する効果を達成し、文書画像の識別に便利である、一種のスキャナのためのオートホワイトバランス調整方法を提供することにある。   The main object of the present invention is to achieve the effect of removing the background color in the document image during the scanning process, which is convenient for the identification of the document image, against the disadvantages existing in the above-mentioned known techniques. An object is to provide an auto white balance adjustment method for a scanner.

上述の目的を実現するため、本発明の提供するスキャナのためのオートホワイトバランス調整方法は、以下のステップを包含する。
（１）光源より白色光を提供し、走査により画像を得る
（２）画像の背景色の赤、緑、青の色彩値を検出する
（３）検出した画像背景色の赤、緑、青の色彩値とスキャナ中に保存された調整表中の調整値に基づき、係数値を計算する
（４）係数値に基づき光源中の赤、緑、青の色彩値の輝度比を調整する。 In order to achieve the above object, an auto white balance adjustment method for a scanner provided by the present invention includes the following steps.
(1) Provide white light from a light source and obtain an image by scanning (2) Detect color values of red, green, and blue of the background color of the image (3) Detect red, green, and blue of the detected image background color The coefficient value is calculated based on the color value and the adjustment value stored in the adjustment table stored in the scanner. (4) The luminance ratio of the red, green, and blue color values in the light source is adjusted based on the coefficient value.

上述の本発明のスキャナのためのオートホワイトバランス調整方法は、光源より白色光を提供し走査により画像を得て、画像の背景色の赤、緑、青の色彩値を検出し、検出した画像背景色の赤、緑、青の色彩値とスキャナ中に保存された調整表中の調整値に基づき、係数値を計算し、係数値に基づき光源中の赤、緑、青の色彩値の輝度比を調整し、スキャナに反射光で検出した画像中の背景色の赤、緑、青の色彩値に基づき、赤、緑、青の色彩値の比を、１：１：１に変更し、背景色を白色に接近した画像を得て、これにより、走査過程中に文書画像中の背景色を除去する効果を達成し、これにより文書画像の識別に便利とする。   The above-described auto white balance adjustment method for the scanner of the present invention provides white light from a light source, obtains an image by scanning, detects color values of red, green, and blue of the background color of the image, and detects the detected image. The coefficient value is calculated based on the red, green, and blue color values of the background color and the adjustment value in the adjustment table stored in the scanner, and the brightness of the red, green, and blue color values in the light source is calculated based on the coefficient value. Adjust the ratio, change the ratio of red, green and blue color values to 1: 1: 1 based on the red, green and blue color values of the background color in the image detected by the scanner with reflected light, An image with a background color close to white is obtained, thereby achieving the effect of removing the background color in the document image during the scanning process, thereby making it easier to identify the document image.

本発明のスキャナのためのオートホワイトバランス調整方法のフローチャートである。6 is a flowchart of an auto white balance adjustment method for the scanner of the present invention. 本発明のスキャナのためのオートホワイトバランス調整方法の実施例の構造図である。FIG. 4 is a structural diagram of an embodiment of an auto white balance adjustment method for the scanner of the present invention.

本発明の技術内容、構造特徴、達成する目的を詳細に説明するため、以下に実施例を挙げ並びに図面を組み合わせて説明する。   In order to describe in detail the technical contents, structural features, and objects to be achieved of the present invention, examples will be described below in combination with the drawings.

図１に示されるように、本発明のスキャナのためのオートホワイトバランス調整方法は、以下のステップを包含し、すなわち、
Ｓ００１：光源より白色光を提供し、走査により画像を得る
Ｓ００２：画像の背景色の赤、緑、青の色彩値を検出する
Ｓ００３：検出した画像背景色の赤、緑、青の色彩値とスキャナ中に保存された調整表中の調整値に基づき、係数値を計算する
Ｓ００４：係数値に基づき光源中の赤、緑、青の色彩値の輝度比を調整する。 As shown in FIG. 1, the auto white balance adjustment method for the scanner of the present invention includes the following steps:
S001: White light is provided from a light source, and an image is obtained by scanning. S002: Red, green, and blue color values of the background color of the image are detected. S003: Red, green, and blue color values of the detected image background color. The coefficient value is calculated based on the adjustment value in the adjustment table stored in the scanner. S004: The luminance ratio of the red, green, and blue color values in the light source is adjusted based on the coefficient value.

図１に示されるように、ステップＳ００１において、光源が赤（Ｒ）、緑（Ｇ）、青（Ｂ）の色彩値の比が１：１：１である白色光を提供して走査が実行され、検出される反射光の赤、緑、青の色彩値を得る画像中の、各画素の画像値の赤、緑、青の色彩値は方程式（１）により取得され、方程式（１）は以下のとおりである。
ＤｉｇｉｔａｌＩｍａｇｅ＿ｉ＝ ＷｈｉｔｅＣａｌｉｂｒａｔｉｏｎ＿ｉ*（ＳｅｎｓｏｒＶａｌｕｅ＿ｉ−ＤａｒｋＣａｌｉｂｒａｔｉｏｎ＿ｉ） （１）
そのうち、ｉは画像単一色彩チャネル（Ｃｈａｎｎｅｌ）の第ｉ個の画素であり、ＤｉｇｉｔａｌＩｍａｇｅ＿ｉはスキャナが読み取る画像値（ＳｅｎｓｏｒＶａｌｕｅ＿ｉ）を計算した後に得られる対応色彩チャネルの色彩値であり、ＷｈｉｔｅＣａｌｉｂｒａｔｉｏｎ＿ｉは調整表の第ｉ個の画素に対して得られる白色調整値であり、ＤａｒｋＣａｌｉｂｒａｔｉｏｎ＿ｉは調整表の第ｉ個の画素に対して得られる黒色調整値である。注意すべきことは、上述の調整表は、ステップＳ００１の前に、スキャナ中に予め保存された均一白色調整表であり、これにより調整値の赤、緑、青の色彩値、すなわち調整値ＷｈｉｔｅＣａｌｉｂｒａｔｉｏｎＳｈｅｅｔＬｅｖｅｌ（ＣＳＲ，ＣＳＧ，ＣＳＢ）は固定値と見なされ得て、並びに調整表は均一白色とされるため、ゆえに、ＣＳＲ，ＣＳＧ，ＣＳＢの三者の比は１：１：１とされる。 As shown in FIG. 1, in step S001, scanning is performed by providing white light whose light source has a ratio of red (R), green (G), and blue (B) color values of 1: 1: 1. In the image for obtaining the red, green, and blue color values of the reflected light to be detected, the red, green, and blue color values of the image values of each pixel are obtained by Equation (1), and Equation (1) is It is as follows.
DigitalImage_i = WhiteCalibration_i * (SensorValue_i-DarkCalibration_i) (1)
Among these, i is the i-th pixel of the image single color channel (Channel), DigitalImage_i is the color value of the corresponding color channel obtained after calculating the image value (SensorValue_i) read by the scanner, and WhiteCalibration_i is the adjustment table. Is the white color adjustment value obtained for the i th pixel, and DarkCalibration_i is the black color adjustment value obtained for the i th pixel of the adjustment table. It should be noted that the above-described adjustment table is a uniform white adjustment table stored in advance in the scanner before step S001, whereby the red, green, and blue color values of the adjustment value, that is, the adjustment value WhiteCalibrationSheetLevel. Since (CSR, CSG, CSB) can be regarded as a fixed value and the adjustment table is uniformly white, the ratio of the three of CSR, CSG, CSB is therefore 1: 1: 1.

その後、ステップＳ００２において、画像中の背景色の第ｊ個の画素の赤、緑、青の色彩値ＵｓｅｒＢａｃｋｇｒｏｕｎｄＬｅｖｅｌ（ＵＲ，ＵＧ，ＵＢ）を検出し、それはまた第ｊ画素の画像値ＤｉｇｉｔａｌＩｍａｇｅ＿ｊ（ＤＩＲｊ，ＤＩＧｊ，ＤＩＢｊ）であり、さらに、スキャナが読み取った画像値ＳｅｎｓｏｒＶａｌｕｅ＿ｊ（ＳＲｊ，ＳＧｊ，ＳＢｊ）、第ｊ個の画素の白色調整値ＷｈｉｔｅＣａｌｉｂｒａｔｉｏｎ＿ｊ（ＷＲｊ，ＷＧｊ，ＷＢｊ）及び黒色調整値ＤａｒｋＣａｌｉｂｒａｔｉｏｎ＿ｊ（ＤＲｊ，ＤＧｊ，ＤＢｊ）を用い方程式（１）により以下の方程式（２）、（３）、（４）を得る。
ＤＩＲｊ＝ＵＲ＝ＷＲｊ*（ＳＲｊ−ＤＲｊ） （２）
ＤＩＧｊ＝ＵＧ＝ＷＧｊ*（ＳＧｊ−ＤＧｊ） （３）
ＤＩＢｊ＝ＵＢ＝ＷＢｊ*（ＳＢｊ−ＤＢｊ） （４） Thereafter, in step S002, the red, green, and blue color values UserBackgroundLevel (UR, UG, UB) of the jth pixel of the background color in the image are detected, which is also the image value DigitalImage_j (DIR j of the jth pixel). , DIG j , DIB j ), image value SensorValue_j (SR j , SG j , SB j ) read by the scanner, and white adjustment value WhiteCalibration_j (WR j , WG j , WB j ) of the jth pixel. The following equations (2), (3), and (4) are obtained from the equation (1) using the black adjustment value DarkCalibration_j (DR j , DG j , DB j ).
DIR j = UR = WR j * (SR j -DR j ) (2)
DIG j = UG = WG j * (SG j -DG j ) (3)
DIB j = UB = WB j * (SB j -DB j ) (4)

続いて、ステップＳ００３において、あらかじめスキャナに保存された調整表中より読み取られた調整値ＷｈｉｔｅＣａｌｉｂｒａｔｉｏｎＳｈｅｅｔＬｅｖｅｌ（ＣＳＲ，ＣＳＧ，ＣＳＢ）と上述の計算で得られた背景色の赤、緑、青の色彩値ＵｓｅｒＢａｃｋｇｒｏｕｎｄＬｅｖｅｌ（ＵＲ，ＵＧ，ＵＢ）を方程式（５）に代入して計算を行ない、一組の係数値ｗｅｉｇｈｔｉｎｇ（ｗｔＲ，ｗｔＧ，ｗｔＢ）を得る。方程式（５）は以下のとおりである。
ｗｅｉｇｈｔｉｎｇ = ＷｈｉｔｅＣａｌｉｂｒａｔｉｏｎＳｈｅｅｔＬｅｖｅｌ／ＵｓｅｒＢａｃｋｇｒｏｕｎｄＬｅｖｅｌ （５）
方程式（５）より以下の方程式が得られる。
ｗｔＲ＝ＣＳＲ／ＵＲ （６）
ｗｔＧ＝ＣＳＧ／ＵＧ （７）
ｗｔＢ＝ＣＳＢ／ＵＢ （８） Subsequently, in step S003, the adjustment value WhiteCalibrationSheetLevel (CSR, CSG, CSB) read from the adjustment table stored in advance in the scanner and the red, green, and blue color values UserBackgroundLevel obtained by the above calculation. Calculation is performed by substituting (UR, UG, UB) into the equation (5) to obtain a set of coefficient values weighting (wtR, wtG, wtB). Equation (5) is as follows.
weighting = WhiteCalibrationSheetLevel / UserBackgroundLevel (5)
The following equation is obtained from equation (5).
wtR = CSR / UR (6)
wtG = CSG / UG (7)
wtB = CSB / UB (8)

上述の第ｊ個の画素の画像値ＤｉｇｉｔａｌＩｍａｇｅ＿ｊ（ＤＩＲｊ，ＤＩＧｊ，ＤＩＢｊ）を、上述の係数値ｗｅｉｇｈｔｉｎｇ（ｗｔＲ，ｗｔＧ，ｗｔＢ）に乗じて新たな画素画像値、すなわち、調整後の第ｊ個の画像値ＮｅｗＤｉｇｉｔａｌＩｍａｇｅ＿ｊ（ＮＤＩＲJ ，ＮＤＩＧJ ，ＮＤＩＢJ ）を得る。すなわち、以下の方程式（９）のとおり。
ＮｅｗＤｉｇｉｔａｌＩｍａｇｅ＿ｊ＝ＤｉｇｉｔａｌＩｍａｇｅ＿ｊ* ｗｅｉｇｈｔｉｎｇ （９） The image value DigitalImage_j (DIR j , DIG j , DIB j ) of the j-th pixel described above is multiplied by the coefficient value weighting (wtR, wtG, wtB) to obtain a new pixel image value, that is, the adjusted first pixel value. j image values NewDigitalImage_j (NDIR J , NDIG J , NDIB J ) are obtained. That is, the following equation (9).
NewDigitalImage_j = DigitalImage_j * weighting (9)

方程式（２）から（９）より、
ＮＤＩＲJ＝ＤＩＲｊ * ｗｔＲ＝ＵＲ * （ＣＳＲ／ＵＲ）＝ＣＳＲ
ＮＤＩＧJ＝ＤＩＧｊ * ｗｔＧ＝ＵＧ * （ＣＳＧ／ＵＧ）＝ＣＳＧ
ＮＤＩＢJ＝ＤＩＢｊ * ｗｔＢ＝ＵＢ * （ＣＳＢ／ＵＢ）＝ＣＳＢ From equations (2) to (9)
NDIR J = DIR j * wtR = UR * (CSR / UR) = CSR
NDIG J = DIG j * wtG = UG * (CSG / UG) = CSG
NDIB J = DIB j * wtB = UB * (CSB / UB) = CSB

これにより、ＮＤＩＲJ 、ＮＤＩＧJ、 ＮＤＩＢJ の三者の間の比と、ＣＳＲ、ＣＳＧ、ＣＳＢの三者の比は同じで、いずれも１：１：１となり、すなわち、オリジナル画像背景色の赤、緑、青の色彩値に係数値ｗｅｉｇｈｔｉｎｇ（ｗｔＲ，ｗｔＧ，ｗｔＢ）を乗じた後に再度走査して得る画像中の背景色の赤、緑、青の色彩値の比は１：１：１に変わる。 As a result, the ratio between NDIR J , NDIG J , and NDIB J and the ratio of CSR, CSG, and CSB are the same, and all are 1: 1: 1. The ratio of the red, green, and blue color values of the background color in the image obtained by scanning again after multiplying the red, green, and blue color values by the coefficient value weighting (wtR, wtG, wtB) is 1: 1: 1. Changes to.

最後に、ステップＳ００４において、スキャナは係数値ｗｅｉｇｈｔｉｎｇ（ｗｔＲ，ｗｔＧ，ｗｔＢ）に基づき、光源中の赤、緑、青の色彩値の輝度比を調節し、これにより、反射光検出で得られる画像中の背景色の赤、緑、青の色彩値の比を１：１：１に変え、すなわち、背景色が白色に接近する画像を得て、これにより、走査過程中に背景色除去の効果を達成し、後続の画像の識別に便利とする。   Finally, in step S004, the scanner adjusts the luminance ratio of the red, green, and blue color values in the light source based on the coefficient value weighting (wtR, wtG, wtB), thereby obtaining an image obtained by reflected light detection. The ratio of the red, green and blue color values of the background color in the inside is changed to 1: 1: 1, that is, an image in which the background color is close to white is obtained, and thereby the effect of removing the background color during the scanning process This is useful for identifying subsequent images.

以下に実施例を組み合わせて上述の原理に対して更に説明する。
図２を参照されたい。本発明のスキャナのためのオートホワイトバランス調整装置１００は、ＬＥＤ光源ドライバ１０１、ＬＥＤ光源１０２、イメージセンサ１０３、調節機構１０４、保存ユニット１０５及び処理機構１０６を包含する。 The above principle will be further described below by combining examples.
Please refer to FIG. The auto white balance adjustment apparatus 100 for the scanner of the present invention includes an LED light source driver 101, an LED light source 102, an image sensor 103, an adjustment mechanism 104, a storage unit 105, and a processing mechanism 106.

ＬＥＤ光源ドライバ１０１はＬＥＤ光源１０２を駆動して赤（Ｒ）、緑（Ｇ）、青（Ｂ）の色彩値の比が１：１：１である白色光を走査される文書に照射させる。イメージセンサ１０３は背景色に基づき文書の背景色を検出して、背景色の赤、緑、青の色彩値を検出し、並びに調節機構１０４に伝送する。調節機構１０４は保存ユニット１０５中の調節表の値を読み取った後に、背景色の赤、緑、青の色彩値と計算して係数値を得る。   The LED light source driver 101 drives the LED light source 102 to irradiate the scanned document with white light having a ratio of red (R), green (G), and blue (B) color values of 1: 1: 1. The image sensor 103 detects the background color of the document based on the background color, detects the red, green, and blue color values of the background color and transmits them to the adjustment mechanism 104. The adjustment mechanism 104 reads the values of the adjustment table in the storage unit 105 and then calculates the coefficient values by calculating the color values of the background colors red, green, and blue.

本実施例では、調整表は均一白色とされ、その赤、緑、青の色彩値は（２３０，２３０，２３０）である。その後、調節機構１０４は上述の係数値に基づきＬＥＤ光源ドライバ１０１を制御し、それによりＬＥＤ光源１０２の発射する光線を調節した後、再度走査を実行し、イメージセンサ１０３が反射光検出により得た画像中の背景色の赤、緑、青の色彩値の比を１：１：１とし、すなわち背景色が白色に接近する画像を得る。これにより走査過程中に文書画像中の背景色を除去する効果を達成し、後続の文書画像の識別に便利とし、最後に得られた画像を処理機構１０６に伝送して後続の処理を行う。   In this embodiment, the adjustment table is uniform white, and the color values of red, green, and blue are (230, 230, 230). Thereafter, the adjustment mechanism 104 controls the LED light source driver 101 based on the above-described coefficient value, thereby adjusting the light beam emitted from the LED light source 102, and then performing scanning again, and the image sensor 103 obtained by reflected light detection. The ratio of the red, green, and blue color values of the background color in the image is set to 1: 1: 1, that is, an image in which the background color approaches white is obtained. This achieves the effect of removing the background color in the document image during the scanning process, making it convenient for identification of the subsequent document image, and transmitting the finally obtained image to the processing mechanism 106 for subsequent processing.

総合すると、本発明のスキャナのためのオートホワイトバランス調整方法は光源を使用して白色光を提供して走査して画像を取得し、画像の背景色の赤、緑、青の色彩値を検出した後、検出した背景色の赤、緑、青の色彩値にあらかじめスキャナに保存した調整表の調整値より、係数値を計算し、該係数値に基づき光源中の赤、緑、青の色彩値の輝度比を調整し、スキャナが反射光検出に基づいて得る画像中の背景色の赤、緑、青の色彩値の比が１：１：１となるようにし、すなわち、背景色が白色に接近する画像を得て、これにより、走査過程中に文書画像中の背景色を除去する効果を達成し、これにより、文書画像の識別に便利とする。   Taken together, the auto white balance adjustment method for the scanner of the present invention uses a light source to provide white light and scan to acquire an image and detect the red, green and blue color values of the background color of the image After that, a coefficient value is calculated from the adjustment values stored in the scanner in advance in the red, green, and blue color values of the detected background color, and the red, green, and blue colors in the light source are calculated based on the coefficient values. The brightness ratio of the values is adjusted so that the ratio of the red, green and blue color values of the background color in the image obtained by the scanner based on the reflected light detection is 1: 1: 1, that is, the background color is white An image approaching the image is obtained, thereby achieving the effect of removing the background color in the document image during the scanning process, thereby making it easier to identify the document image.

１００ スキャナのためのオートホワイトバランス調整装置
１０１ ＬＥＤ光源ドライバ
１０２ ＬＥＤ光源
１０３ イメージセンサ
１０４ 調節機構
１０５ 保存ユニット
１０６ 処理機構
Ｓ００１ ステップ１
Ｓ００２ ステップ２
Ｓ００３ ステップ３
Ｓ００４ ステップ４ 100 Auto White Balance Adjustment Device 101 for Scanner 101 LED Light Source Driver 102 LED Light Source 103 Image Sensor 104 Adjustment Mechanism 105 Storage Unit 106 Processing Mechanism S001 Step 1
S002 Step 2
S003 Step 3
S004 Step 4

Claims (7)

スキャナのためのオートホワイトバランス調整方法において、
（１）光源が白色光を提供し、走査により画像が得られる
（２）画像背景色の赤、緑、青の色彩値が検出される
（３）検出された画像背景色の赤、緑、青の色彩値とスキャナ中に保存された調整表中の調整値に基づき、係数値が計算される
（４）該係数値に基づき光源中の赤、緑、青の色彩値の輝度比が調整される、
以上のステップを包含したことを特徴とする、スキャナのためのオートホワイトバランス調整方法。 In the auto white balance adjustment method for the scanner,
(1) The light source provides white light, and an image is obtained by scanning. (2) Red, green, and blue color values of the image background color are detected. (3) Red, green, and the detected image background colors. A coefficient value is calculated based on the blue color value and the adjustment value stored in the adjustment table stored in the scanner. (4) The luminance ratio of the red, green, and blue color values in the light source is adjusted based on the coefficient value. To be
An auto white balance adjustment method for a scanner, comprising the above steps. 請求項１記載のスキャナのためのオートホワイトバランス調整方法において、前記（３）のステップの該係数値の計算方式は、
ｗｅｉｇｈｔｉｎｇ = ＷｈｉｔｅＣａｌｉｂｒａｔｉｏｎＳｈｅｅｔＬｅｖｅｌ／ＵｓｅｒＢａｃｋｇｒｏｕｎｄＬｅｖｅｌであり、そのうち、ｗｅｉｇｈｔｉｎｇは前記係数値、ＷｈｉｔｅＣａｌｉｂｒａｔｉｏｎＳｈｅｅｔＬｅｖｅｌは前記調整表の調整値、ＵｓｅｒＢａｃｋｇｒｏｕｎｄＬｅｖｅｌは前記（２）のステップ中の画像背景色の赤、緑、青の色彩値を表すことを特徴とする、スキャナのためのオートホワイトバランス調整方法。 2. The automatic white balance adjustment method for a scanner according to claim 1, wherein the coefficient value calculation method in the step (3) is:
weighting = WhiteCalibrationSheetLevel / UserBackgroundLevel, of which weighting is the coefficient value, WhiteCalibrationSheetLevel is the adjustment value of the adjustment table, and the red color of UserBackgroundLevel is the red value of the UserBackgroundLevel color An automatic white balance adjustment method for a scanner, characterized by 請求項２記載のスキャナのためのオートホワイトバランス調整方法において、前記係数値は計算により画像背景色の赤、緑、青の色彩値の比を１：１：１に変えさせることを特徴とする、スキャナのためのオートホワイトバランス調整方法。   3. The auto white balance adjustment method for a scanner according to claim 2, wherein the coefficient value is calculated to change a ratio of red, green and blue color values of the image background color to 1: 1: 1. Auto white balance adjustment method for scanner. 請求項３記載のスキャナのためのオートホワイトバランス調整方法において、前記計算は、
ＮｅｗＤｉｇｉｔａｌＩｍａｇｅ＿ｊ＝ＤｉｇｉｔａｌＩｍａｇｅ＿ｊ* ｗｅｉｇｈｔｉｎｇで、そのうち、ｊは前記（１）のステップ中の画像背景色の第ｊ個の画素を表示し、ＤｉｇｉｔａｌＩｍａｇｅ＿ｊは第ｊ個の画素の画像値を表示し、ｗｅｉｇｈｔｉｎｇは前述の係数値を表示し、ＮｅｗＤｉｇｉｔａｌＩｍａｇｅ＿ｊは調整後に得られる第ｊ個の画素の画像値を表示することを特徴とする、スキャナのためのオートホワイトバランス調整方法。 4. The auto white balance adjustment method for a scanner according to claim 3, wherein the calculation is:
NewDigitalImage_j = DigitalImage_j * weighting, of which j represents the jth pixel of the image background color in the step (1), DigitalImage_j displays the image value of the jth pixel, and weighting is the above-mentioned An automatic white balance adjustment method for a scanner, characterized in that a coefficient value is displayed, and NewDigitalImage_j displays an image value of a jth pixel obtained after adjustment. 請求項１記載のスキャナのためのオートホワイトバランス調整方法において、前記（１）のステップの前に、前記調整表を前記スキャナに保存するステップを包含することを特徴とする、スキャナのためのオートホワイトバランス調整方法。   2. The auto white balance adjustment method for a scanner according to claim 1, further comprising a step of storing the adjustment table in the scanner before the step (1). White balance adjustment method. 請求項１記載のスキャナのためのオートホワイトバランス調整方法において、前記調整表は均一白色とされ、調整値の赤、緑、青の色彩値は固定値と見なされ得て、並びに三者の比は１：１：１とされることを特徴とする、スキャナのためのオートホワイトバランス調整方法。   2. The auto white balance adjustment method for a scanner according to claim 1, wherein the adjustment table is a uniform white color, the red, green and blue color values of the adjustment values can be regarded as fixed values, and a ratio of the three. Is a 1: 1: 1 auto white balance adjustment method for a scanner. 請求項１記載のスキャナのためのオートホワイトバランス調整方法において、前記（１）のステップ中、前記白色光の赤、緑、青の色彩値の比は１：１：１とされることを特徴とする、スキャナのためのオートホワイトバランス調整方法。   2. The auto white balance adjustment method for a scanner according to claim 1, wherein a ratio of red, green and blue color values of the white light is 1: 1: 1 during the step (1). Auto white balance adjustment method for the scanner.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2021531571A (en) * 2019-01-10 2021-11-18 平安科技(深▲せん▼)有限公司Ping An Technology (Shenzhen) Co., Ltd. Certificate image extraction method and terminal equipment

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005086269A (en) * 2003-09-04 2005-03-31 Seiko Epson Corp Apparatus and method of reading image
JP2007336455A (en) * 2006-06-19 2007-12-27 Canon Inc Image reading apparatus, and control method thereof
JP2008252381A (en) * 2007-03-29 2008-10-16 Canon Electronics Inc Image reader, control method of image reader and control program of image reader
JP2009071505A (en) * 2007-09-12 2009-04-02 Konica Minolta Business Technologies Inc Image reader
JP2010283665A (en) * 2009-06-05 2010-12-16 Hitachi Omron Terminal Solutions Corp Image reading method and image reading system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005086269A (en) * 2003-09-04 2005-03-31 Seiko Epson Corp Apparatus and method of reading image
JP2007336455A (en) * 2006-06-19 2007-12-27 Canon Inc Image reading apparatus, and control method thereof
JP2008252381A (en) * 2007-03-29 2008-10-16 Canon Electronics Inc Image reader, control method of image reader and control program of image reader
JP2009071505A (en) * 2007-09-12 2009-04-02 Konica Minolta Business Technologies Inc Image reader
JP2010283665A (en) * 2009-06-05 2010-12-16 Hitachi Omron Terminal Solutions Corp Image reading method and image reading system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2021531571A (en) * 2019-01-10 2021-11-18 平安科技(深▲せん▼)有限公司Ping An Technology (Shenzhen) Co., Ltd. Certificate image extraction method and terminal equipment
US11790499B2 (en) 2019-01-10 2023-10-17 Ping An Technology (Shenzhen) Co., Ltd. Certificate image extraction method and terminal device

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