JP2001153752A - Method for evaluating quality of diffusion plate - Google Patents

Method for evaluating quality of diffusion plate

Info

Publication number
JP2001153752A
JP2001153752A JP33804099A JP33804099A JP2001153752A JP 2001153752 A JP2001153752 A JP 2001153752A JP 33804099 A JP33804099 A JP 33804099A JP 33804099 A JP33804099 A JP 33804099A JP 2001153752 A JP2001153752 A JP 2001153752A
Authority
JP
Japan
Prior art keywords
diffusion plate
quality
degree
pattern mask
evaluating
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.)
Pending
Application number
JP33804099A
Other languages
Japanese (ja)
Inventor
Hisashi Shiraiwa
久志 白岩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Otsuka Electronics Co Ltd
Original Assignee
Otsuka Electronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Otsuka Electronics Co Ltd filed Critical Otsuka Electronics Co Ltd
Priority to JP33804099A priority Critical patent/JP2001153752A/en
Publication of JP2001153752A publication Critical patent/JP2001153752A/en
Pending legal-status Critical Current

Links

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  • Testing Of Optical Devices Or Fibers (AREA)

Abstract

PROBLEM TO BE SOLVED: To realize a method for evaluating quality of a diffusion plate whereby the quality of the diffusion plate can be inspected at a good reproducibility, without the personal judgment. SOLUTION: A light from a surface light source 1 irradiates the diffusion plate 3 through a pattern mask 2, the diffusion plate 3 is photographed by a camera 4, and the degree of dispersion of the pixel outputs of the taken image is calculated and processed to evaluate the quality of the diffusion plate, based on the degree of dispersion thereof.

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【発明の属する技術分野】本発明は、液晶表示装置の拡
散板の品質評価方法に関するものである。
The present invention relates to a method for evaluating the quality of a diffusion plate of a liquid crystal display device.

【0002】[0002]

【従来の技術】液晶表示装置の表示画面において、輝度
の分布がなめらかでないと、ギラギラした画面に映って
しまう。そこで、入射光を散乱透過させて、光透過率、
光拡散性の改善、正面輝度の向上及び輝度むらの減少を
図るため、光を拡散させる拡散板を画面に組み込んでい
る。この拡散板を検査する場合、従来では、熟練者が、
拡散板のぎらつき度(小さな輝点がちらちら見える状
態)を目視でチェックしていた。
2. Description of the Related Art In a display screen of a liquid crystal display device, if the distribution of luminance is not smooth, the image is reflected on a glaring screen. Therefore, the incident light is scattered and transmitted, and the light transmittance,
In order to improve light diffusibility, improve front luminance, and reduce luminance unevenness, a diffusion plate that diffuses light is incorporated in the screen. Conventionally, when inspecting this diffusion plate, an expert
The degree of glare of the diffusion plate (a state in which small bright spots can be seen flickering) was visually checked.

【0003】[0003]

【発明が解決しようとする課題】しかし、目視の検査で
は、検査者の熟練度に応じて検査の結果が違ってくるな
ど、信頼性あるデータが得られないという問題があっ
た。そこで、本発明は、人間の判断によらず、拡散板の
品質を再現性よく検査することができる拡散板の品質評
価方法を実現することを目的とする。
However, in the visual inspection, there is a problem that reliable data cannot be obtained, for example, the result of the inspection varies depending on the skill of the inspector. Accordingly, an object of the present invention is to realize a method for evaluating the quality of a diffusion plate that can inspect the quality of the diffusion plate with good reproducibility regardless of human judgment.

【0004】[0004]

【課題を解決するための手段】本発明の拡散板の品質評
価方法は、面光源の光をパターンマスクを通して拡散板
に当て、その拡散板をカメラで撮像し、撮像された像の
各画素出力のばらつきの程度を算出処理し、このばらつ
きの程度に基づいて、拡散板を品質評価する方法であ
る。ここで、「ばらつきの程度」の判断手法として、再
現性があれば、任意の方法を採用できる。例えば、各画
素出力をXn(n=1,2,3,‥‥)と書くと、Xn
を統計処理した結果得られる分散値σ2 σ2=E{(Xn−<X>)2} (ここで、E{ }は平均をとる操作を表し、<X>は
Xnの平均値E{Xn}である)に基づいて判定しても
よく、標準偏差σに基づいて判定してもよい。また、分
散値や標準偏差を、<X>で割ったもので判定してもよ
い。
According to the method for evaluating the quality of a diffuser according to the present invention, light from a surface light source is applied to the diffuser through a pattern mask, the diffuser is imaged by a camera, and each pixel output of the image is obtained. Is a method of calculating the degree of variation of the diffusion plate and evaluating the quality of the diffusion plate based on the degree of variation. Here, as a method of determining the “degree of variation”, any method can be adopted as long as the method has reproducibility. For example, if each pixel output is written as Xn (n = 1, 2, 3,...), Xn
Σ 2 σ 2 = E {(Xn− <X>) 2ら れ る (where E {represents an operation for averaging, and <X> is an average value E {of Xn) Xn}) or based on the standard deviation σ. Alternatively, the determination may be made by dividing the variance value or the standard deviation by <X>.

【0005】本発明の方法によれば、カメラで撮像され
た像の各画素出力の統計処理により、拡散板のぎらつき
度を客観的に評価することができるので、評価の客観
性、正確性を確保することができる。
According to the method of the present invention, the degree of glare of the diffuser can be objectively evaluated by statistical processing of each pixel output of an image picked up by a camera, so that the evaluation is objective and accurate. Can be secured.

【0006】[0006]

【発明の実施の形態】以下、本発明の実施の形態を、添
付図面を参照しながら詳細に説明する。図1は、拡散板
の品質評価を行うための装置の概略図である。面光源1
の上にパターンマスク2が設置され、その上に測定対象
である拡散板3が設置される。面光源1は、複数本の漏
洩型光ファイバを平面に並べたものを使用したが、面状
に光を出すものであれば、これに限らず、どのような構
成の光源を用いてもよい。
Embodiments of the present invention will be described below in detail with reference to the accompanying drawings. FIG. 1 is a schematic view of an apparatus for evaluating the quality of a diffusion plate. Surface light source 1
A pattern mask 2 is set on the substrate, and a diffusion plate 3 to be measured is set thereon. Although the surface light source 1 uses a plurality of leaky optical fibers arranged in a plane, the light source is not limited to this as long as it emits light in a planar shape, and a light source having any configuration may be used. .

【0007】パターンマスク2は、透明フィルムの上に
線で模様を形成したのものである。ここで用いたもの
は、図2に示す、縦横の黒い格子模様21のパターンマ
スクであるが、これに限らず、どのような模様で構成さ
れたパターンマスクを用いてもよい。ただし、パターン
マスク2の模様のピッチは、CCDカメラ4の撮像面に
おいて画素のピッチと比較した場合、模様のピッチの方
が画素のピッチよりも粗いことが好ましい。いいかえれ
ば、パターンマスク2の模様の空間周波数は、撮像面の
画素配列の空間周波数よりも低いことが好ましい。
The pattern mask 2 is formed by forming a pattern with lines on a transparent film. Although the pattern mask used here is the pattern mask of the vertical and horizontal black lattice pattern 21 shown in FIG. 2, the present invention is not limited to this, and a pattern mask composed of any pattern may be used. However, when the pattern pitch of the pattern mask 2 is compared with the pixel pitch on the imaging surface of the CCD camera 4, the pattern pitch is preferably coarser than the pixel pitch. In other words, it is preferable that the spatial frequency of the pattern of the pattern mask 2 is lower than the spatial frequency of the pixel array on the imaging surface.

【0008】拡散板3は、拡散板3の表面にピントが合
ったCCDカメラ4で撮像され、撮像された像の各画素
出力のデータは、パーソナルコンピュータ5に入力され
る。CCDカメラ4で撮像する画素数は、少なくとも3
0個以上あることが好ましく、これより多いほど好まし
い。パーソナルコンピュータ5は、統計処理により、各
画素出力の平均値、分散、標準偏差を求め、この分散又
は標準偏差をしきい値と比較することにより、拡散板3
の品質を評価する。
The diffuser plate 3 is imaged by a CCD camera 4 in focus on the surface of the diffuser plate 3, and the data of each pixel output of the imaged image is input to a personal computer 5. The number of pixels captured by the CCD camera 4 is at least three.
The number is preferably 0 or more, and the more the number, the more preferable. The personal computer 5 obtains an average value, a variance, and a standard deviation of each pixel output by statistical processing, and compares the variance or the standard deviation with a threshold value.
Assess the quality of.

【0009】[0009]

【実施例】縦横格子の縦ピッチbが300μm,横ピッ
チaが100μmのパターンマスク2の上に拡散板3を
載せて、CCDカメラ4で撮像した。この場合、CCD
カメラ4のF値により分散の程度が変化するので、最も
分散が大きくなるF値を探して(F=8)、このF値に
固定して撮像した。CCDカメラ4の画素数は、512
×512、このうち端部を除いた490×490画素の
範囲で、画像処理を実施した。実際の画像処理面積は、
50.7mm2となる。
EXAMPLE A diffusion plate 3 was mounted on a pattern mask 2 having a vertical pitch b of 300 μm and a horizontal pitch a of 100 μm, and an image was taken by a CCD camera 4. In this case, CCD
Since the degree of variance changes depending on the F value of the camera 4, the F value with the largest variance was found (F = 8), and an image was captured with this F value fixed. The number of pixels of the CCD camera 4 is 512
× 512, image processing was performed in a range of 490 × 490 pixels excluding the end portion. The actual image processing area is
50.7 mm 2 .

【0010】拡散板3は、光透過性の支持フィルムの片
面に、平均粒径0.005〜50μmの範囲、好ましく
は0.5〜5μmの範囲の微粒子を含有する表面微細凹
凸構造の透明樹脂層(拡散性樹脂層)を有するものであ
る。支持フィルムとしては、偏光フィルム、位相差フィ
ルム又は透明フィルム等が用いられる。支持フィルムの
材質及び厚さは、特に限定されない。拡散板3のサンプ
ルを11枚用意して、1枚の拡散板につき、各画素の出
力階調データ(0〜256)を測定し集計して、分散値
を算出した。また、各サンプルのぎらつきの程度を目視
で測定した。
[0010] The diffusion plate 3 is a transparent resin having a fine surface irregularity structure containing fine particles having an average particle size in the range of 0.005 to 50 µm, preferably 0.5 to 5 µm, on one surface of the light-transmitting support film. It has a layer (diffusible resin layer). As the support film, a polarizing film, a retardation film, a transparent film, or the like is used. The material and thickness of the support film are not particularly limited. Eleven samples of the diffusion plate 3 were prepared, and output gradation data (0 to 256) of each pixel was measured and totaled for one diffusion plate to calculate a variance value. In addition, the degree of glare of each sample was measured visually.

【0011】11枚のサンプルの分散データを表1に掲
げる。
Table 1 shows the variance data of the eleven samples.

【0012】[0012]

【表1】 [Table 1]

【0013】この表1のサンプルは、目視でのぎらつき
度の小さい順に、番号1から11まで並べたものであ
る。表1の結果をグラフにしたものを、図3に示す。表
1及び図3から分かるように、目視のぎらつき度と、分
散データとが逆転しているのは、サンプル番号2と3だ
けであって、それ以外は、目視評価とデータ評価との相
関が出ている。
The samples in Table 1 are numbered from 1 to 11 in ascending order of visual glare. FIG. 3 shows a graph of the results in Table 1. As can be seen from Table 1 and FIG. 3, only the sample numbers 2 and 3 show that the visual glare degree and the variance data are reversed, and otherwise, the correlation between the visual evaluation and the data evaluation. Is out.

【0014】したがって、本発明の方法により、従来の
目視で行っていたのと同様に、拡散板のぎらつき度を評
価することができることが分かった。
Therefore, it has been found that the degree of glare of the diffusion plate can be evaluated by the method of the present invention in the same manner as in the conventional visual observation.

【0015】[0015]

【発明の効果】以上のように本発明の拡散板の品質評価
方法によれば、カメラで拡散板を撮像し、各画素出力の
統計処理により、人間に労力をかけずに拡散板のぎらつ
き度を客観的に評価することができる。したがって、検
査結果の確実性を損なわずに拡散板の品質検査の歩留ま
りを上げることができる。
As described above, according to the method for evaluating the quality of a diffuser according to the present invention, the diffuser is imaged with a camera, and statistical processing of the output of each pixel is performed to reduce the glare of the diffuser without any human labor. The degree can be evaluated objectively. Therefore, the yield of the quality inspection of the diffusion plate can be increased without impairing the reliability of the inspection result.

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

【図1】拡散板の品質評価を行うための装置の概略配置
図である。
FIG. 1 is a schematic layout view of an apparatus for evaluating the quality of a diffusion plate.

【図2】縦横の黒い格子模様のパターンマスクを示す図
であり、aは横ピッチ、bは縦ピッチを表す。
FIG. 2 is a view showing a pattern mask of a vertical and horizontal black lattice pattern, wherein a represents a horizontal pitch and b represents a vertical pitch.

【図3】拡散板の分散データをプロットしたグラフであ
る。
FIG. 3 is a graph in which dispersion data of a diffusion plate is plotted.

【符号の説明】[Explanation of symbols]

1 面光源 2 パターンマスク 3 拡散板 4 CCDカメラ 5 パーソナルコンピュータ 1 surface light source 2 pattern mask 3 diffusion plate 4 CCD camera 5 personal computer

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】面光源の光をパターンマスクを通して拡散
板に当て、その拡散板をカメラで撮像し、撮像された像
の各画素出力のばらつきの程度を算出処理し、このばら
つきの程度に基づいて、拡散板を品質評価することを特
徴とする拡散板の品質評価方法。
A light from a surface light source is applied to a diffusion plate through a pattern mask, an image of the diffusion plate is taken by a camera, and a degree of variation of each pixel output of the captured image is calculated and processed based on the degree of the variation. And evaluating the quality of the diffusion plate.
JP33804099A 1999-11-29 1999-11-29 Method for evaluating quality of diffusion plate Pending JP2001153752A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP33804099A JP2001153752A (en) 1999-11-29 1999-11-29 Method for evaluating quality of diffusion plate

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP33804099A JP2001153752A (en) 1999-11-29 1999-11-29 Method for evaluating quality of diffusion plate

Publications (1)

Publication Number Publication Date
JP2001153752A true JP2001153752A (en) 2001-06-08

Family

ID=18314368

Family Applications (1)

Application Number Title Priority Date Filing Date
JP33804099A Pending JP2001153752A (en) 1999-11-29 1999-11-29 Method for evaluating quality of diffusion plate

Country Status (1)

Country Link
JP (1) JP2001153752A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018132496A (en) * 2017-02-17 2018-08-23 日本電気硝子株式会社 Evaluation method of transparent article
CN111397857A (en) * 2020-04-01 2020-07-10 杭州欧光芯科技有限公司 Engineering uniform light sheet detection device and method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018132496A (en) * 2017-02-17 2018-08-23 日本電気硝子株式会社 Evaluation method of transparent article
CN111397857A (en) * 2020-04-01 2020-07-10 杭州欧光芯科技有限公司 Engineering uniform light sheet detection device and method
CN111397857B (en) * 2020-04-01 2022-02-11 杭州欧光芯科技有限公司 Engineering uniform light sheet detection device and method

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