TW200914819A - System and method for detecting surface blots - Google Patents

System and method for detecting surface blots Download PDF

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Publication number
TW200914819A
TW200914819A TW96135469A TW96135469A TW200914819A TW 200914819 A TW200914819 A TW 200914819A TW 96135469 A TW96135469 A TW 96135469A TW 96135469 A TW96135469 A TW 96135469A TW 200914819 A TW200914819 A TW 200914819A
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tested
light source
image
detecting system
signal processing
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TW96135469A
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TWI348545B (en
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Po-Yuan Lai
I-Pen Chien
Hsin-Li Lin
Kuang-Wei Lin
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Hon Hai Prec Ind Co Ltd
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Abstract

The present invention discloses a system for detecting surface blots. The system includes an image sensor device configured for capturing an image of a surface of an object, a light source configured for illuminating the surface of the object, and a data processor electrically connected to the image sensor device. The data processor is configured for processing data from the image sensor device and marking the blots on the surface of the object. The system can accurately mark the blots on the surface of the object under the cooperation of the image sensor device and the data processor. The system avoids the subjective factor of worker, accordingly, the system can improve the detection efficiency. The present invention also discloses a detecting method of the system.

Description

200914819 九、發明說明: 【發明所屬之技術領域】 ' 本發明關於一種表面污點檢測技術,尤其係關於一 種表面污點檢測系統及其檢測方法。 【先前技術】 隨著科技之不斷發展,攜帶式電子裝置如移動電 話,應用日益廣泛,同時也日漸趨向於輕巧、美觀及多 功能化,其中照相功能係近年流行之移動電話之附加功 ' 能。應用於移動電話之數位相機模組不僅要滿足輕薄短 小之要求,其還須具有較高之照相性能。但隨著對數位 相機及移動電話相機模組之影像品質之要求之不斷提 高,彩色濾光片作為相機模組之重要組成部分,對其品 質之檢測將關係到影像品質之好壞。故,需要來檢測其 上之瑕疵位置,及大小等。因此,能及時檢測出有品質 問題之彩色濾光片將有利於提高數位相機之照相品質。 目前在組裝彩色濾光片過程中,對彩色濾光片之污 % 點檢測主要係通過人工目檢,即利用人工一塊一塊地將 成像表面有污點之彩色濾光片挑出來,檢測速度很低, 且這樣之檢測方式存在較大之主觀因素^而且人工檢測 方式還會存在很大之漏檢率,從而使得檢測合格率降低。 【發明内容】 有鑒於此,有必要提供一種能提高檢測合格率之表 面污點檢測系統及其檢測方法。 一種表面污點檢測系統,其包括: 7 200914819 至少一影像獲取裝置,用於獲取待測物表面之影 像,並從該影像中取得各晝素點之亮度值; 至少一光源裝置,用於照亮所述待測物之表面; 一與影像獲取裝置電氣連接之訊號處理裝置,用於 對所得之各晝素點之亮度值求和,求各晝素點之亮度值 之平均值,並將各晝素點之亮度值與該所求之平均值比 較以檢測所述待測物之表面之各晝素點之亮度值是否符 合預定之標準值,並對亮度值大於平均值之晝素點進行 標注。 一種表面污點檢測方法,其包括下列步驟: 開啟光源裝置,使其照亮待測物表面; 由影像獲取裝置從待測物表面獲取一影像,並從該 影像中取得各晝素點之党度值; 由訊號處理裝置對所得之各晝素點之亮度值求和, 並求其平均值; 由訊號處理裝置將各晝素點之亮度值與該平均值比 較; 若一晝素點之亮度值大於該平均值,則該晝素點為 污點,並將該污點標注。 與先前技術相比,所述表面污點檢測系統在影像獲取 裝置及訊號處理裝置之配合作用下,能夠準確地判斷污 點存在之位置,不僅加快了檢測速度,而且避免了人工 目檢存在之主觀因素以及其存在之漏檢率,進而提高了 污點檢測合格率。 8 200914819 【實施方式】 下面將結合附圖,舉一較佳實施例並配合圖式詳細 描述如下。 請參閱圖1,本發明實施例所提供之表面污點檢測系 統包括至少一用於獲取待測物2 0表面影像之影像獲取裝 置11,至少一用於照亮所述待測物20之表面之光源裝置 12, 一與影像獲取裝置11電氣連接之訊號處理裝置13, 以及一主控系統14,該主控系統14分別與所述訊號處理 裝置13以及光源裝置12電氣連接。 在這裏需要說明的是,本實施例中,該表面污點檢 測系統所檢測之待測物20可以為平面玻璃或者係鍍有光 學濾光薄膜之平面玻璃濾光片,因在各種製程中,如鍍 膜製程,會有灰塵,雜物等落在待測物20之表面,從而 形成污點。所述待測物20可放置在一移動平台21上, 所述待測物20可以在該移動平台21之傳動機構22之控 制下作二維移動。所述主控系統14可以與該傳動機構22 電氣相連並控制該傳動機構22之工作狀態。 所述影像獲取裝置11可以為一相機模組,該相機模 組設置於基座(圖未示)上,用於獲取待測物20之表面之 影像,並從該影像中取得各晝素點之亮度值,同時該各 晝素點之亮度值傳送給所述之訊號處理器13。在本實施 例中,所述影像獲取裝置11所能從待測物20獲取之面 積與待測物20之面積相當,因此,只用一影像獲取裝置 11來獲取所述待測物20之表面影像。當影像獲取裝置 9 200914819 11所能從待測物20獲取之面積小於待測物20之面積 時,可以在移動平台21之移動下,移動所述待測物20 ’ 以讓影像獲取裝置11在待測物20之表面區域作往復掃 ' 描以獲得待測物20之表面之全部影像。當然也可以設置 複數影像獲取裝置,例如,二個影像獲取裝置。該兩個 影像獲取裝置所能從待測物20獲取之總面積與待測物 20表面之面積相當。 可以想到的是,所述影像獲取裝置11還可以設置在 一移動手臂(圖未示)上,該移動手臂可以在一傳動機構 (圖未示)之控制下作二維移動,此時,所述待測物20可 以設置在一固定平台上。 所述光源裝置12包括一光源121及一與該光源121 電氣連接之光源控制器122,該光源121可以為一氦氖鐳 射管,用於照亮所述待測物20之表面,以使影像獲取裝 置11從照亮之待測物20之表面獲得影像。所述光源控 制器122可以通過控制提供給所述光源121之電壓來控 i 制光源之亮度,以提升所述影像獲取裝置11所獲取影像 之品質。當然可以想到的是,為了為待測物20表面提供 更亮、更均勻之光照,該表面污點檢測系統可以包括複 數光源裝置。 所述訊號處理裝置13之數量與影像獲取裝置11之 數量相對應。在本實施例中,該表面污點檢測系統具有 一訊號處理裝置13。該訊號處理裝置13包括一處理器(圖 未示),内安裝有可識別並處理相關數據之處理程式,用 10 200914819 於處理各種數據並輸出結果。該訊號處理裝置13與影像 獲取裝置11電氣相連,且該訊號處理裝置13利用其内 ' 置之程式可控制所述影像獲取裝置Π之開啟與截止。 所述主控系統14可以為一電腦,該主控系統14可 識別處理有關數據,並輸出結果。本實施例中,所述主 控系統14為一台中央處理器,其内安裝有可識別並處理 相關數據之程式。該主控系統14分別與光源控制器122 以及訊號處理裝置13電氣連接,利用相關程式以系統地 : 配合並控制所述光源控制器122以及訊號處理裝置13工 作,即通過該主控系統14配合並控制所述光源控制器 122提供給光源121之電壓來控制光之亮度。通過該主控 系統14還可以控制所述訊號處理裝置13工作,即通過 該主控系統14來配合並控制所述訊號處理裝置13處理 來自影像獲取裝置11之訊號。 在這裏需要進一步說明的是,光源裝置12之電源還 可以直接由主控系統14直接供給,並由該主控系統14 4 來控制該光源裝置12提供光之亮度。 下面將對本實施例所提供之表面污點檢測系統之污 點檢測方法進行詳細說明,如圖2所示,為檢測待測物 表面污點之方法流程圖。 首先,步驟S201,開啟光源裝置12,使其照亮待測 物20的表面; 步驟S202,由影像獲取裝置11從待測物20表面獲 取一影像,並從該影像中取得各晝素點之亮度值; 11 200914819 步驟S203,由訊號處理裝置13對所獲取之影像訊 號進行雜訊過遽; • 步驟S204,由訊號處理裝置13對所得影像之各晝 ' 素點之亮度值求和,並求其平均值; 步驟S205,由訊號處理裝置13將所有畫素點之亮 度值與該平均值比較; 步驟S206,若一晝素點之亮度值大於該平均值,則 該晝素點為污點’並將該污點標注。 f 在步驟S203中,由於在所獲取之影像訊號在獲取、 傳輸中可能會有雜訊產生時,因此,本實施例中還由訊 號處理裝置對該雜訊進行過遽消除。 在步驟S204中,其平均值計算所根據之數學原理為 以下公式: T=(V(X1) + V(X2) + ……婦 „))/n 其中,為某一晝素點之亮度值,:Γ為一定範圍内 之晝素亮度值之平均值,》為這一範圍内之晝素數量。 ^ 在步驟S206中,當訊號處理裝置13檢測到某一晝 素點之亮度值大於所有畫素點之平均值時,則使該晝素 點變成高亮色(如白色),以達到對其標注之目的。 重複步驟S205到步驟S206,則可以標出所有待測 物20表面之晝素點是否為污點,以進行其他製程,如清 洗該待測物20。 在這裏需要說明的是,上述之過濾製程、求平均值 以及判斷各晝素點之亮度值是否大於該平均值都是由所 12 200914819 述訊號處理器13中所内置之處理程式自動完成,並且該 訊號處理器13將最後所得之結果傳輸給主控系統14,以 , 便讓操作者判斷是否進行下一次檢測操作。 " 上述之表面污點檢測系統在影像獲取裝置、信號處 理裝置以及主控系統之配合作用下,能夠自動準確地判 斷污點存在之位置,不僅加快了檢測速度,而且避免了 人工目檢存在之主觀因素以及其存在之漏檢率,進而提 南了檢測合格率。 綜上所述,本發明符合發明專利要件,爰依法提出 專利申請。惟,以上所述者僅為本發明之較佳實施方式, 本發明之範圍並不以上述實施方式為限,舉凡熟悉本案 技藝之人士援依本發明之精神所作之等效修飾或變化, 皆應涵蓋於以下申請專利範圍内。 【圖式簡單說明】 圖1係本發明實施例之表面污點檢測糸統之結構不 意圖; 圖2係本發明實施例之表面污點檢測方法之流程 圖。 【主要元件符號說明】 影像獲取裝置 11 光源裝置 12 光源 121 光源控制器122 訊號處理裝置 13 主控系統 14 待測物 20 移動平台 21 傳動機構 22 13200914819 IX. INSTRUCTIONS: [Technical field to which the invention pertains] The present invention relates to a surface stain detecting technique, and more particularly to a surface stain detecting system and a detecting method thereof. [Prior Art] With the continuous development of technology, portable electronic devices such as mobile phones have become more and more widely used, and at the same time, they are becoming lighter, more beautiful, and more multifunctional. Among them, camera functions are the additional functions of mobile phones that have been popular in recent years. . The digital camera module used in mobile phones not only has to meet the requirements of lightness and thinness, but also has high photographic performance. However, as the image quality requirements for digital cameras and mobile phone camera modules continue to increase, color filters are an important part of camera modules, and the quality of their detection will be related to the quality of the image. Therefore, it is necessary to detect the position, size, and the like on the top. Therefore, the color filter that can detect quality problems in time will help improve the photographic quality of the digital camera. At present, in the process of assembling color filters, the detection of the stains of the color filters is mainly by manual visual inspection, that is, the color filters of the imaged surfaces are manually picked out one by one, and the detection speed is low. Moreover, there is a large subjective factor in such a detection method, and there is a large miss detection rate in the manual detection method, thereby lowering the detection yield. SUMMARY OF THE INVENTION In view of the above, it is necessary to provide a surface stain detecting system capable of improving the pass rate of detection and a detecting method thereof. A surface stain detecting system, comprising: 7 200914819 at least one image acquiring device, configured to acquire an image of a surface of the object to be tested, and obtain a brightness value of each pixel point from the image; at least one light source device for illuminating a surface of the object to be tested; a signal processing device electrically connected to the image capturing device, for summing the brightness values of the obtained pixel points, and obtaining an average value of the brightness values of the respective pixel points, and The brightness value of the pixel point is compared with the average value obtained to detect whether the brightness value of each pixel point of the surface of the object to be tested meets a predetermined standard value, and the pixel point whose brightness value is greater than the average value is performed. Label. A surface stain detecting method includes the following steps: turning on a light source device to illuminate a surface of the object to be tested; acquiring an image from the surface of the object to be tested by the image capturing device, and obtaining a party degree of each pixel point from the image Value; summing the brightness values of the obtained pixel points by the signal processing device, and obtaining an average value thereof; the brightness processing value of each pixel point is compared with the average value by the signal processing device; if the brightness of a pixel point If the value is greater than the average, the pixel point is a stain and the stain is labeled. Compared with the prior art, the surface stain detection system can accurately determine the position of the stain under the cooperation of the image acquisition device and the signal processing device, which not only speeds up the detection speed, but also avoids the subjective factors of the manual visual inspection. And the existence of the miss detection rate, thereby improving the stain detection pass rate. [Embodiment] Hereinafter, a preferred embodiment will be described in detail with reference to the accompanying drawings and the accompanying drawings. Referring to FIG. 1 , a surface stain detecting system according to an embodiment of the present invention includes at least one image acquiring device 11 for acquiring a surface image of the object to be tested 20 , at least one for illuminating the surface of the object 20 to be tested. The light source device 12, a signal processing device 13 electrically connected to the image capturing device 11, and a main control system 14 are electrically connected to the signal processing device 13 and the light source device 12, respectively. It should be noted that, in this embodiment, the object to be tested 20 detected by the surface stain detecting system may be a flat glass or a flat glass filter coated with an optical filter film, because in various processes, such as In the coating process, dust, debris, and the like may fall on the surface of the object to be tested 20 to form a stain. The object to be tested 20 can be placed on a mobile platform 21, and the object to be tested 20 can be moved two-dimensionally under the control of the transmission mechanism 22 of the mobile platform 21. The main control system 14 can be electrically connected to the transmission mechanism 22 and control the operating state of the transmission mechanism 22. The image capturing device 11 can be a camera module. The camera module is disposed on a base (not shown) for acquiring an image of the surface of the object to be tested 20, and obtaining each pixel point from the image. The brightness value is transmitted to the signal processor 13 at the same time. In this embodiment, the area that the image capturing device 11 can obtain from the object to be tested 20 is equivalent to the area of the object to be tested 20, and therefore, only one image capturing device 11 is used to acquire the surface of the object to be tested 20. image. When the image acquisition device 9 200914819 11 can obtain the area of the object to be tested 20 from the area of the object to be tested 20, the object to be tested 20 ′ can be moved under the movement of the mobile platform 21 to allow the image acquisition device 11 to The surface area of the object to be tested 20 is reciprocally scanned to obtain the entire image of the surface of the object to be tested 20. Of course, a plurality of image acquisition devices, for example, two image acquisition devices, can also be provided. The total area that the two image capturing devices can obtain from the object to be tested 20 is equivalent to the area of the surface of the object to be tested 20. It is conceivable that the image capturing device 11 can also be disposed on a moving arm (not shown), and the moving arm can be moved two-dimensionally under the control of a transmission mechanism (not shown). The object to be tested 20 can be disposed on a fixed platform. The light source device 12 includes a light source 121 and a light source controller 122 electrically connected to the light source 121. The light source 121 can be a laser tube for illuminating the surface of the object to be tested 20 to make the image. The acquisition device 11 obtains an image from the surface of the illuminated object to be tested 20. The light source controller 122 can control the brightness of the light source by controlling the voltage supplied to the light source 121 to improve the quality of the image acquired by the image capturing device 11. It is of course conceivable that in order to provide a brighter, more uniform illumination of the surface of the object to be tested 20, the surface stain detection system may comprise a plurality of light source means. The number of the signal processing devices 13 corresponds to the number of image capturing devices 11. In the present embodiment, the surface stain detecting system has a signal processing device 13. The signal processing device 13 includes a processor (not shown) in which a processing program for recognizing and processing related data is installed, and various data are processed and outputted with 10 200914819. The signal processing device 13 is electrically connected to the image capturing device 11, and the signal processing device 13 can control the opening and closing of the image capturing device by using its internal program. The main control system 14 can be a computer that can identify processing related data and output the result. In this embodiment, the main control system 14 is a central processing unit in which a program for recognizing and processing related data is installed. The main control system 14 is electrically connected to the light source controller 122 and the signal processing device 13 respectively, and the related program is used to systematically: cooperate and control the light source controller 122 and the signal processing device 13 to work, that is, cooperate with the main control system 14 And controlling the voltage provided by the light source controller 122 to the light source 121 to control the brightness of the light. The main control system 14 can also control the operation of the signal processing device 13, that is, the main control system 14 cooperates and controls the signal processing device 13 to process the signal from the image acquisition device 11. It should be further noted here that the power source of the light source device 12 can also be directly supplied directly from the main control system 14, and the main control system 14 4 controls the light source device 12 to provide the brightness of the light. The stain detection method of the surface stain detecting system provided in the embodiment will be described in detail below, as shown in Fig. 2, which is a flow chart for detecting the stain on the surface of the object to be tested. First, in step S201, the light source device 12 is turned on to illuminate the surface of the object to be tested 20; in step S202, an image is acquired from the surface of the object to be tested 20 by the image capturing device 11, and each pixel point is obtained from the image. Brightness value; 11 200914819 Step S203, the signal processing device 13 performs noise on the acquired image signal; • In step S204, the signal processing device 13 sums the luminance values of the respective prime points of the obtained image, and The average value is obtained; in step S205, the brightness processing value of all pixel points is compared with the average value by the signal processing device 13; step S206, if the brightness value of a pixel point is greater than the average value, the pixel point is a stain 'Mark the stain. f In step S203, since noise may be generated during acquisition and transmission of the acquired image signal, the noise processing is further eliminated by the signal processing device in this embodiment. In step S204, the mathematical principle according to the calculation of the average value is the following formula: T=(V(X1) + V(X2) + .........))/n where is the brightness value of a certain pixel point ,: Γ is the average value of the luminance values of the pixels within a certain range, 》 is the number of pixels in this range. ^ In step S206, when the signal processing device 13 detects that the luminance value of a certain pixel point is greater than all When the average value of the pixel points is made, the pixel point is turned into a highlight color (such as white) to achieve the purpose of labeling it. By repeating steps S205 to S206, all the pixels of the surface of the object 20 to be tested can be marked. Whether the point is stained for other processes, such as cleaning the object to be tested 20. It should be noted here that the above filtering process, averaging, and determining whether the brightness values of the respective pixel points are greater than the average value are 12 200914819 The processing program built in the signal processor 13 is automatically completed, and the signal processor 13 transmits the final result to the main control system 14, so that the operator can judge whether to perform the next detection operation. ; the above surface stains The detection system can automatically and accurately determine the location of the stain under the cooperation of the image acquisition device, the signal processing device and the main control system, which not only speeds up the detection speed, but also avoids the subjective factors of the manual visual inspection and the leakage of the existence. The detection rate, and then the test pass rate. In summary, the present invention meets the requirements of the invention patent, and the patent application is filed according to law. However, the above description is only a preferred embodiment of the present invention, and the scope of the present invention is The present invention is not limited to the above-described embodiments, and equivalent modifications or variations made by those skilled in the art to the spirit of the present invention are intended to be included in the scope of the following claims. FIG. 2 is a flow chart of a method for detecting a surface stain according to an embodiment of the present invention. [Explanation of main component symbols] Image capturing device 11 Light source device 12 Light source 121 Light source controller 122 Signal processing device 13 main control system 14 object to be tested 20 mobile platform 21 transmission mechanism 22 13

Claims (1)

200914819 十、申請專利範圍: 1. 一種表面污點檢測系統,其包括: 至少一影像獲取裝置,用於獲取待測物表面之影像, 並從該影像中取得各畫素點之亮度值; 至少一光源裝置,用於照亮所述待測物之表面;以及 一與影像獲取裝置電氣連接之訊號處理裝置,用於對 所得之各晝素點之亮度值求和,求各晝素點之亮度值 之平均值,並將各晝素點之亮度值與該所求之平均值 比較以檢測所述待測物之表面之各晝素點之亮度值是 否符合預定之標準值,並對亮度值大於平均值之晝素 點進行標注。 2. 如申請專利範圍第1項所述之表面污點檢測系統,其 中,所述影像獲取裝置為一相機模組。 3. 如申請專利範圍第1項所述之表面污點檢測系統,其 中,所述影像獲取裝置之數量為兩個,該兩個影像獲 取裝置所能從待測物獲取之總面積與待測物表面之面 積相當。 4. 如申請專利範圍第1項所述之表面污點檢測系統,其 中,所述表面污點檢測系統還包括一用於放置所述待 測物之移動平台,用於帶動所述待測物移動。 5. 如申請專利範圍第4項所述之表面污點檢測系統,其 中,所述移動平台作二維移動。 6. 如申請專利範圍第4項所述之表面污點檢測系統,其 中,所述移動平台具有一於該移動平台相連之傳動機 14 200914819 構’用於控制該移動平台作二維移動。 7.如申請專利範圍第1項所述之表面污點檢測系統,其 中,所述光源裝置包括一光源及一與該光源電氣連接 之光源控制器,所述光源控制器用於控制光源之真产。 8.如申請專利範圍第7項所述之表面污點檢測系統U,夂其 中,所述光源為氦氖鐳射管。 〃 9·如申請專利範圍第i項所述之表面污點檢測系統,其 中,所述表面污點檢測系統還包括—主控系統,該主 控系統分別與訊號處理裝置及光源裝置電氣連接,"用 於配合並控制所述信號處理裝置及光源裝 ^申請專利範圍第9項所述之表面污點檢測系統乍其 中’所述主控系統為一電腦。 U.—種表面污點檢測方法,其包括下列步驟·· 開啟光源裝置,使其照亮待測物表面; 像獲取^從待測物表面獲取―影像,並㈣ 心像中取得各畫素點之亮度值; 由信號處理裝置對所得之各晝素點 並求其平均值; 4值求和, 比較信號處理裝置將财晝素狀亮度值與該平均值 、_右-畫素點Μ度值切鮮均值 ㈣’並將該污點標注。 m點為 12.如申請專利範圍第 中’所述表面污點 11項所述之表面污點撿測方法,其 檢測方法在獲得待測物之影像後還 15 200914819 包括對所獲取之影像信號進行雜訊過濾之步驟。 16200914819 X. Patent application scope: 1. A surface stain detecting system, comprising: at least one image acquiring device, configured to acquire an image of a surface of the object to be tested, and obtain a brightness value of each pixel point from the image; at least one a light source device for illuminating a surface of the object to be tested; and a signal processing device electrically connected to the image capturing device, for summing the brightness values of the obtained pixel points, and determining the brightness of each pixel point An average value of the values, and comparing the brightness values of the respective pixel points with the average value to determine whether the brightness values of the respective pixel points of the surface of the object to be tested meet the predetermined standard value, and the brightness value Label points that are larger than the average. 2. The surface stain detecting system according to claim 1, wherein the image capturing device is a camera module. 3. The surface stain detecting system according to claim 1, wherein the number of the image capturing devices is two, and the total area and the object to be tested that the two image capturing devices can obtain from the object to be tested The surface area is equivalent. 4. The surface stain detecting system of claim 1, wherein the surface stain detecting system further comprises a moving platform for placing the object to be tested for driving the object to be tested. 5. The surface stain detecting system of claim 4, wherein the moving platform is moved two-dimensionally. 6. The surface stain detecting system of claim 4, wherein the mobile platform has a conveyor connected to the mobile platform 14 200914819 for controlling the mobile platform for two-dimensional movement. 7. The surface stain detecting system of claim 1, wherein the light source device comprises a light source and a light source controller electrically connected to the light source, wherein the light source controller is configured to control the true production of the light source. 8. The surface stain detecting system U according to claim 7, wherein the light source is a neon laser tube. The surface stain detecting system of claim i, wherein the surface stain detecting system further comprises a main control system electrically connected to the signal processing device and the light source device respectively, " The surface stain detecting system described in claim 9 is configured to cooperate with and control the signal processing device and the light source device, wherein the master control system is a computer. U.—A method for detecting surface stains, comprising the steps of: turning on a light source device to illuminate a surface of the object to be tested; acquiring an image from the surface of the object to be tested, and (4) obtaining each pixel point in the image The brightness value is obtained by the signal processing device and the average value of each pixel point is obtained; the four values are summed, and the comparison signal processing device compares the financial element brightness value with the average value and the _ right-pixel point temperature value. Cut the fresh mean (four) 'and mark the stain. The m point is 12. The method for detecting the surface stain according to the surface staining item 11 in the patent application scope is as follows: after the image of the object to be tested is obtained, 15 200914819 includes performing miscellaneous on the acquired image signal. The step of filtering. 16
TW096135469A 2007-09-21 2007-09-21 System and method for detecting surface blots TWI348545B (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103245676A (en) * 2013-03-23 2013-08-14 明基材料有限公司 Optics lens smudge detecting method
CN109610149A (en) * 2019-02-14 2019-04-12 安庆市恒昌机械制造有限责任公司 A kind of online stain device for eliminating and technique

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103245676A (en) * 2013-03-23 2013-08-14 明基材料有限公司 Optics lens smudge detecting method
CN109610149A (en) * 2019-02-14 2019-04-12 安庆市恒昌机械制造有限责任公司 A kind of online stain device for eliminating and technique

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