1333781 六、發明說明： 【發明所屬之技術領域】 [0001] 099年09月16日按正替换頁 本發明涉及一種相機模組污點測試系統及方法。 【先前技術】 數位影像科技之應用日漸普及，越來越多的電子産品可 以藉由安裝相機模組而具備拍攝物體影像之功能，例如 :數仙機、電腦、手機、影像量測機台等電子器材。 該相機模組通常包括影像感測器（SensQr)、鏡頭（ 卜⑻及鏡座（_der)等元件或裝置。隨著電子産品 之市场兩求增長迅速’其配套之相機模組的生産需求也 :斷增長。爲了提高和保證産品f量，對產品實施檢驗 不可/的’從而保證產品f量㈣過程之穩定性及 産品之—致性。同時，日漸增多且急迫之檢驗需 要求企__速、準確地實施産品的檢驗。 人工料廠商對於相機彳歧㈣前之檢驗，通常是利用 2機模組所拍攝之影像進行分辨，從而確定該影 生污點’如此既㈣，又增長生產周期及增加 誤差ρ ’並且基於人卫確^的資訊，'經常包含有人的 。’不能保證出廢産品質量之-致性及準確性 【發明内容】 [0004]鑒於以上内交士、 及方法 必、要提供一種相機模組污點測試系統 比較你其可⑽由對輸出f彡像之各類數據進行分析、 比較，從而判斷相機模組之品質。 [_ -種相軸㈣ 096112583 表單編號A_ ‘ “〜統’該系統包括：影像獲取模 第4頁/共25頁 [0002] [0003] 0993332729-0 1333781 099年09月16日修正替換頁 組，用於從相機模組處獲取影像；影像區域切割模組， 用於將所獲取之影像切割成多個測試影像區域，並劃分 每一測試影像區域對應之參考影像區域；計算模組，用 於選擇測試影像區域及確定對應之參考影像區域，並計 算該測試影像區域及參考影像區域之灰度平均值；及濃 度比較模組，用於預設一污點濃度之規範值，並對所得 之測試影像區域及參考影像區域之灰度平均值進行比較 以計算該測試影像區域之污點濃度，還用於將該污點濃 • 度與該規範值進行比較從而判斷該影像是否存在明顯污 點以及確定該相機模組是否爲合格産品。 [0006] 一種相機模組污點測試方法，if方法如下步驟：獲 \厂 ^ · 取步驟：從相機模組處獲取^彡增^;畫f’分步驟：將所獲取 之影像切割成多個測試影像區域，並劃分每一測試影像 區域對應之參考影像區域；計算步驟：選擇一測試影像 區域及確定其對應之參考影像區蜂，並計算該測試影像 區域及參考影像區域之灰度半設步驟：預設一 • 污點濃度之規範值；判斷步驟f :'對所得之測試影像區域 ‘ ：； 及參考影像區域之灰度平均值進行比較以計算該測試影 像區域之污點濃度，並判斷該污點濃度是否超過該規範 值從而判斷該影像是否存在明顯污點；及確定步驟：若 該影像存在明顯污點，則確定該相機模組爲不合格産品 ，若該影像不存在明顯污點，則確定該相機模組爲合格 産品。 [0007] 相較於習知技術，該相機模組污點測試系統及方法，其 可以藉由對輸出影像之各類數據進行分析、比較，從而 096112583 表單編號A0101 第5頁/共25頁 0993332729-0 1333781 判斷相機模組是否存在 099年09月16日修正替換頁1 >可點。利用該系統及方法，可以 有效縣人H彡像社肉眼辦i之誤差，並提高測試 效率及節省測試成本。 [0008] 【實施方式】 如圖1所不，係本發明相機模組污點測試系統較佳實施方 式之硬體架構圖。該相機模組污點測試系統（下文稱“ 本系統”）建構在多個電腦2中。該電腦2藉由影像資料 線4與一相機触1相祕讀Μ彡像，並在對影像進行 相應之測試後，利用連接5將測試結果輸出至資料庫3中 進行存儲》該連接5是一種資料庫連接，如開放式資料庫 連接（Open Database CQii_Ct%i;ty，0DBC)，或者 Java資料庫連接（Java DatabaseJc〇nnectivi”， JDBC) 〇 [0009] [0010] 該相機模組l通常包括影像感測器10、鏡頭12及鏡座i4， 也可包括其他元件或裝置（圖中未示出）/該影像感測器 10可以是CCD(Charge Coupled Device，電荷竊合 器件），或者是CMOS(Complementary Metal-〇x_ ide-Semiconductor Transistor ’ 互補型金屬氧化物 半導體）。該相機模組1可以組裝至電腦2、手機（未示出 )或者其他裝置中進行拍攝。 該資料庫3用於存儲各類數據，包括從相機模組丨獲取之 景夕像，對影像測試後之結果等。該資料庫3可獨立於電腦 2，也可位於電腦2内，儲存在電腦2之硬碟（未示出）上 [ooii] 096112583 本系統用於獲取相機模組1所拍攝之影像，對該影像進行 表單編號A0101 第6頁/共25頁 0993332729-0 Ϊ333781 099年09月16日梭正替换頁 相關測試，判斷該影像中是否存在污點從而確定該相機 模組1是否爲合格産品，並將測試結果進行輸出及反饋。 [0012] 如圖2所示，係本發明相機模組污點測試系統之功能模組 圖。該相機模組污點測試系統安裝於電腦2内，其包括六 個功能模組，分別是：影像獲取模組20、影像區域設置 模組21 '影像區域切割模組22、計算模組23、濃度比較 模組24及結果輸出模組25。 [0013] 該影像獲取模組20用於藉由影像資料線4從相機模组1中 的影像感測器10處獲取影像，並在電腦1中顯示該影像從 而對該影像進行相應之處理。 - - . . . K·：. .< » ' ： ·· [0014] 利用本系統對獲取之影像進4亍1測試時，鷲要將該影像切 割成若干個測試影像區域，每一測試影像區域皆對應一 參考影像區域，並藉由對測試影像區域及參考影像區域 之各類數據進行比較，從而判斷該影像中是否存在污點 〇 ; [0015] 該影像區域設置模組21用於設置測試影像區域及對應之 參考影像區域的大小。在測試過程中，用戶可藉由影像 區域設置模組21將測試影像區域之大小設置成一個或者 多個數值，並將每一不同大小之測試影像區域與其對應 之參考影像區域進行比較，從而獲得精確的測試結果。 [0016] 例如，該測試影像區域之大小可設置爲5*5圖元（Pixel) 、15*15圖元及60*60圖元，而該參考影像區域之大小可 設置爲60*60圖元，則每一個5*5圖元之測試影像區域都 將逐一與其對應之大小爲60*60圖元之參考影像區域進行 096112583 表單編號 A0101 第 7 頁/共 25 頁 0993332729-0 1333781 099年09月16日梭正替換頁 各類數據的比較，比較完之後若未發現影像中存在污點 ，再次將15*1 5圖元之測試影像區域逐一與其對應之大小 爲60*60圖元之參考影像區域進行各類數據的比較，若仍 然未發現污點，繼而將60*60圖元之測試影像區域逐一與 其對應之大小爲60*60圖元之參考影像區域進行各類數據 的比較。 [0017] 此外，爲了獲取更加精確的資料，該影像區域設置模組 21還可設置多個參考影像區域之大小，例如，除上述之 60*60圖元大小，還可將該參考影像區域的大小設置爲 15*15，即完成上述比較過程後，再將每一不同大小的測 試影像區域逐一與其對應之大小爲15*15圖元之參考影像 區域進行各類數據的比較。 [0018] 當所有設置的、不同大小之測試影像區域皆與其對應之 參考影像區域進行比較完畢，皆未發現污點，可判定該 影像不存在明顯污點，則該相機模组1爲合格産品；若發 現污黠，可判定該影像存在明顯污點，則該相機模組1爲 不合格産品。 [0019] 該影像區域設置模組21還用於設置測試影像區域之間的 距離、測試影像區域與參考影像區域之間的距離（下文 稱“區域間距”）以及測試影像區域與參考影像區域之 相對方向。在本較佳實施例中，測試影像區域與參考影 像區域之間的距離大小爲參考影像區域的大小，例如， 參考影像區域大小爲60*60圖元，則該測試影像區域與參 考影像區域之間的距離大小爲60*60圖元。又例如，在本 較佳實施例中，測試影像區域之間的距離大小可設置爲 096112583 表單編號 A0101 第 8 頁/共 25 頁 0993332729-0 .1333781 -- 099年09月16日按正替换頁 4*4圖元。關於測試影像區域與參考影像區域之相對方向 的設置可參照影像區域切割模組22之功能說明的舉例中 [0020] 影像區域切割模組22用於根據設置的測試影像區域之大 小及測試影像區域之間的距離將所獲取之影像切割成若 干個測試影像區域，並根據設置的參考影像區域的大小 、測試影像區域與參考影像區域之間的距離及測試影像 區域與參考影像區域的相對方向，劃分每一測試影像區 • 域對應之參考影像區域。參照圖4所示，影像6包括一大 小爲15*15圖元之測試影像區域610，該測試影像區域 610對應一大小爲60*60圖元之參考影像區域611。 • [0021] 在本實施例中，影像區域切割模k.22在劃分參考影像區 域時’首先根據測試影像區域之座標及影像中心點之座 標，判斷該測試影像區域在影像的左半部分還是右半部 分。若測試影像區域在影像的左半部分，則對應之參考 Γ .；'.. . 影像區域在測試影像區域之右侧；反之，若測試影像區 域在影像的右半部分，則對應乏參考影像區域在測試影 像區域之左側。 [0022] 其次，參考影像區域與測試影像區域之上邊緣或下邊緣 處於同一水平位置。假設影像、測試影像區域及參考影 像區域皆爲正方形，測試影像區域在影像的左半部分、 且其右上角的端點爲A (X，Y)，參考影像區域之大小爲 C*C圖元，區域間距設置爲G圖元，點A至影像下邊緣的距 離爲D圖元時： 0993332729-0 096112583 表單編號A0101 第9頁/共25頁 1333781 099年09月16日俊正替換頁 [0023] 當點A至影像下邊緣的距離大於或等於參考影像區域的大 小（D> = C)時，則參考影像區域在測試影像區域之右側 ，且參考影像區域之上邊緣與測試影像區域之上邊緣處 於同一水平位置，即兩個上邊緣的所有點的Y座標相同； 以及當點A至影像下邊緣的距離小於參考影像區域的大小 (D<C)時，則參考影像區域在測試影像區域之右側，且 參考影像區域的下邊緣與測試影像區域之上邊緣處於同 一水平位置（可參照圖4所示範例）。 [0024] 上述劃分依據是爲保證每一測試影像區域在不超出影像 的範圍内都有一對應之參考影像區域。在其他實施例中 ，參考影像區域與測試影像區域的相對方向或者大小可 以根據實際情況進行調整，例如，判斷測試影像區域在 影像的上半部分還是下半部分，若測試影像區域在影像 的上半部分，令參考影像區域在測試影像區域之下方； 若測試影像區域在影像的下半部分，令參考影像區域在 測試影像區域之上方。 [0025] 該計算模組23用於選擇一測試影像區域，並根據該測.試 影像區域内各點之灰度值計算出灰度平均值。其中，該 灰度平均值是對選擇區域内各圖元點之灰度值累加後求 得的算術平均值，而每個圖元點之灰度值的計算是藉由 獲得該圖元點之三原色的值，並利用灰度值計算公式進 行計算得出，該灰度值計算公式爲：灰度值=0. 3*紅 +0.59*綠+0.11*藍。 [0026] 例如，若該測試影像區域爲5*5圖元之大小，則可在該測 試影像區域内選擇25個點，每個點對應一灰度值，其中 096112583 表單編號A0101 第10頁/共25頁 0993332729-0 '13337811333781 VI. Description of the Invention: [Technical Field of the Invention] [0001] According to the positive replacement page of September 16, 099 The present invention relates to a camera module stain test system and method. [Prior Art] The application of digital imaging technology is becoming more and more popular. More and more electronic products can be equipped with camera functions by installing camera modules, such as digital amplifiers, computers, mobile phones, video measuring machines, etc. Electronic equipment. The camera module usually includes components such as an image sensor (SensQr), a lens (b (8), and a mirror holder (_der). As the market for electronic products grows rapidly, the production requirements of the supporting camera modules are also : Broken growth. In order to improve and guarantee the amount of product f, the product can not be tested to ensure the stability of the product f (four) process and the product's consistency. At the same time, the increasing and urgent inspection needs to require __ The product inspection is carried out quickly and accurately. The inspection of the camera manufacturer's front camera (4) is usually based on the image captured by the two-machine module to determine the shadow of the film, so that the film is so (four) and the production cycle is increased. And increase the error ρ 'and based on the information of the people, ^ often contain people. 'Can not guarantee the quality of the waste products - the accuracy and accuracy [invention] [0004] in view of the above internals, and methods must To provide a camera module stain test system, you can (10) analyze and compare various types of data of the output f image to determine the quality of the camera module. [_ - Seed axis 096112583 Form number A_ ' "~ system" The system includes: image acquisition mode page 4 / 25 pages [0002] [0003] 0993332729-0 1333781 099 September 16 revised replacement page group for camera module The image area cutting module is configured to cut the acquired image into a plurality of test image areas, and divide the reference image area corresponding to each test image area; the calculation module is configured to select the test image area and determine Corresponding reference image area, and calculating a gray average value of the test image area and the reference image area; and a concentration comparison module for presetting a standard value of the stain concentration, and obtaining the test image area and the reference image area The gray average value is compared to calculate the stain concentration of the test image area, and is also used to compare the stain concentration degree with the specification value to determine whether the image has a significant stain and determine whether the camera module is a qualified product. [0006] A camera module stain test method, if method is as follows: get \ factory ^ · take steps: get from the camera module ^彡增^;Drawing f' sub-steps: cutting the acquired image into a plurality of test image regions, and dividing the reference image region corresponding to each test image region; calculating steps: selecting a test image region and determining a corresponding reference thereof The image area bee, and calculate the gray level half of the test image area and the reference image area: preset one: the standard value of the stain concentration; the judgment step f: 'for the obtained test image area':; and the reference image area The gray average value is compared to calculate a stain concentration of the test image area, and it is determined whether the stain concentration exceeds the specification value to determine whether the image has a significant stain; and determining step: if the image has a significant stain, the camera is determined If the module is a non-conforming product, if the image does not have obvious stains, it is determined that the camera module is a qualified product. [0007] Compared with the prior art, the camera module stain test system and method can analyze and compare various types of data of the output image, thereby 096112583 Form No. A0101 Page 5 / Total 25 Page 0993332729- 0 1333781 Determine if the camera module exists on September 16, 099, and replace the replacement page 1 > By using the system and method, the error of the county person H-like society can be effectively improved, and the test efficiency and the test cost can be improved. [Embodiment] FIG. 1 is a hardware structural diagram of a preferred embodiment of a camera module stain test system of the present invention. The camera module stain test system (hereinafter referred to as "the system") is constructed in a plurality of computers 2. The computer 2 captures the image by touching the image data line 4 with a camera, and after performing corresponding tests on the image, the connection result is output to the database 3 for storage by using the connection 5" A database connection, such as an open database connection (Open Database CQii_Ct%i; ty, 0DBC), or a Java database connection (Java DatabaseJc〇nnectivi), JDBC) [0009] [0010] The camera module 1 is usually The image sensor 10, the lens 12 and the lens holder i4 may also include other components or devices (not shown)/the image sensor 10 may be a CCD (Charge Coupled Device), or It is a CMOS (Complementary Metal-〇x_ ide-Semiconductor Transistor 'Complementary Metal Oxide Semiconductor.) The camera module 1 can be assembled into a computer 2, a mobile phone (not shown) or other device for shooting. For storing various types of data, including the image obtained from the camera module, the result of the image test, etc. The database 3 can be independent of the computer 2, or can be located in the computer 2, and stored in the hard disk of the computer 2 (not Shown) [ooii] 096112583 This system is used to obtain the image captured by the camera module 1. The form number of the image is A0101. Page 6 of 25 pages 0993332729-0 Ϊ333781 September 10, 2017 Correlation test determines whether there is stain in the image to determine whether the camera module 1 is a qualified product, and outputs and feeds the test result. [0012] As shown in FIG. 2, it is a camera module stain test system of the present invention. The camera module stain test system is installed in the computer 2, and comprises six function modules: an image acquisition module 20, an image area setting module 21, an image area cutting module 22, and a calculation. The module 23, the concentration comparison module 24, and the result output module 25. [0013] The image acquisition module 20 is configured to acquire images from the image sensor 10 in the camera module 1 by using the image data line 4, and The image is displayed on the computer 1 to perform corresponding processing on the image. - - . . . K::. .< » ' : ·· [0014] When using the system to test the acquired image into 4亍1, I want to cut the image into several In the test image area, each test image area corresponds to a reference image area, and by comparing various types of data of the test image area and the reference image area, it is determined whether there is a stain 〇 in the image; [0015] the image area The setting module 21 is configured to set the size of the test image area and the corresponding reference image area. During the test, the image area setting module 21 can set the size of the test image area to one or more values, and compare each test image area of different size with its corresponding reference image area to obtain Accurate test results. [0016] For example, the size of the test image area can be set to 5*5 primitives (Pixel), 15*15 primitives, and 60*60 primitives, and the size of the reference image area can be set to 60*60 primitives. , the test image area of each 5*5 primitive will be performed one by one with the corresponding reference image area of 60*60 primitives. 096112583 Form No. A0101 Page 7 of 25 0993332729-0 1333781 099 September On the 16th, the shuttle is replacing the data of various types of pages. If there is no stain in the image after comparison, the test image area of 15*1 5 primitives is again corresponding to the reference image area of 60*60 primitives. For comparison of various types of data, if no stains are still found, then the test image areas of 60*60 primitives are compared with the corresponding reference image areas of size 60*60 primitives for comparison. [0017] In addition, in order to obtain more accurate data, the image area setting module 21 may also set a size of a plurality of reference image areas, for example, in addition to the above-mentioned 60*60 primitive size, the reference image area may also be The size is set to 15*15, that is, after the above comparison process is completed, each test image area of different sizes is compared with the reference image area of the corresponding size of 15*15 primitives. [0018] When all the test image areas of different sizes are compared with the corresponding reference image areas, no stain is found, and it is determined that the image does not have obvious stains, and the camera module 1 is a qualified product; If the contamination is found, it can be determined that the image has obvious stain, and the camera module 1 is a defective product. [0019] The image area setting module 21 is further configured to set a distance between the test image areas, a distance between the test image area and the reference image area (hereinafter referred to as "area spacing"), and a test image area and a reference image area. Relative direction. In the preferred embodiment, the distance between the test image area and the reference image area is the size of the reference image area. For example, if the reference image area size is 60*60, the test image area and the reference image area are The distance between the two is 60*60. For another example, in the preferred embodiment, the distance between the test image areas can be set to 096112583. Form number A0101 Page 8 of 25 0993332729-0 .1333781 -- September 16th, 099, press the replacement page 4*4 primitives. For the setting of the relative direction of the test image area and the reference image area, refer to the example of the function description of the image area cutting module 22 [0020] The image area cutting module 22 is used for the size of the test image area and the test image area according to the setting. The distance between the obtained images is cut into a plurality of test image areas, and according to the size of the set reference image area, the distance between the test image area and the reference image area, and the relative direction of the test image area and the reference image area, Divide the reference image area corresponding to each test image area • field. Referring to FIG. 4, the image 6 includes a test image area 610 having a size of 15*15 primitives, and the test image area 610 corresponds to a reference image area 611 having a size of 60*60 pixels. [0021] In the embodiment, when the image area cutting mode k.22 divides the reference image area, 'firstly, according to the coordinates of the test image area and the coordinates of the image center point, it is determined whether the test image area is in the left half of the image. Right half. If the test image area is in the left half of the image, the corresponding reference Γ .; '.. . image area is on the right side of the test image area; otherwise, if the test image area is in the right half of the image, the corresponding reference image is corresponding. The area is to the left of the test image area. [0022] Second, the reference image area is at the same horizontal position as the upper or lower edge of the test image area. It is assumed that the image, the test image area and the reference image area are all square, the test image area is in the left half of the image, and the end point of the upper right corner is A (X, Y), and the size of the reference image area is C*C primitive. , the area spacing is set to G primitive, the distance from point A to the lower edge of the image is D primitive: 0993332729-0 096112583 Form number A0101 Page 9 / Total 25 page 1333781 099 September 16th Junction replacement page [0023] When the distance from point A to the lower edge of the image is greater than or equal to the size of the reference image area (D> = C), the reference image area is to the right of the test image area, and the upper edge of the reference image area and the upper edge of the test image area At the same horizontal position, that is, the Y coordinates of all the points of the two upper edges are the same; and when the distance from the point A to the lower edge of the image is smaller than the size of the reference image area (D<C), the reference image area is in the test image area. On the right side, and the lower edge of the reference image area is at the same horizontal position as the upper edge of the test image area (refer to the example shown in FIG. 4). [0024] The above division is based on ensuring that each test image area has a corresponding reference image area within a range not exceeding the image. In other embodiments, the relative direction or size of the reference image area and the test image area may be adjusted according to actual conditions, for example, determining whether the test image area is in the upper half or the lower half of the image, if the test image area is on the image. Half, so that the reference image area is below the test image area; if the test image area is in the lower half of the image, the reference image area is above the test image area. [0025] The calculation module 23 is configured to select a test image area, and calculate a gray average value according to the gray value of each point in the test image area. Wherein, the gray average value is an arithmetic mean value obtained by accumulating the gray value of each primitive point in the selected area, and the gray value of each primitive point is calculated by obtaining the primitive point The value of the three primary colors is calculated by using the gray value calculation formula, and the gray value is calculated as: gray value=0. 3*red+0.59*green+0.11*blue. For example, if the test image area is 5*5 pixels, 25 points can be selected in the test image area, and each point corresponds to a gray value, wherein 096112583 form number A0101 page 10/ Total 25 pages 0993332729-0 '1333781
099年09月 16 ，該25個點的座標可以如下表所示： (χ-2, y-2 (x-l,y~2 (x，y-2) (x+1，y-2 (x+2,y-2 ) ) ) ) (x-2,y-1 (x-l,y-i (x，y-l) (x+1,y-1 (x+2,y-1 ) ) ) ) (x-2,y) (x-l,y) “，y) (x+1,y) (x+2,y) (x-2,y+1 (x-l,y+l (x，y+l) (x+1，y + l (x+2,y+l ) ) ) ) (x-2,y+2 (x-l,y+2 (x，y+2) (x+1，y + 2 (x+2,y+2 ) ) ~：v ™ :- - ) ) 對上述25個點之灰度值進行均則可計:i出該測試影像 …V, ； 區域之灰度平均值。 : i· U ... S4/·.' . -'.:V •‘ i ; .·"- [0028] 該計算模組23還用於根據該選擇的測試影像區域確定其 所對應之參考影像區域’並計算該參考影像區域之灰度 平均值。該計算模組23對，筝影丨件:區域的選擇可預設爲 從影像的左至右，及由上至下的順序進行。 [0029] 該濃度比較模組24用於預設一污點濃度之規範值，該規 範值可根據不同生産廠商對相機模組丨的出廠規格進行設 置。例如，該規範值可設置爲4%。 [0030] 該濃度比較模組24還用於預設一公式對所得之測試影像 區域及參考影像ϋ域之灰度平均值進行比較從而計算 出該測試影像區域之污點濃度，並將計算所得之污點濃 度與規範值進行比較從而判斷該影像是否存在 以及拍攝該影像的相機模組1是否爲合格產。 明顯污點 °該預設的 096112583 表單編號Α0101 第11頁/共25頁 0993332729-0 [0031] 丄 099年09月16 B按正雜百| 公式爲：污點濃度=(1-測試影像區域之灰度平均值/參 考影像區域之灰度平均值）*1009^ 若該污點濃度超出該規範值，可確定該影像存在明顯污 點’則可確定相機模組1爲不合格產品；若該污點濃度未 超過該規範值，則可選擇下一測試影像區域及其對應之 參考影像區域進行計算’直至計算出所有的測試影像區 域之污點濃度皆未超過規範值，才可確定該影像不存在 明顯污點，則該相機模組1爲合格產品。 [0032] 該結果輪出模組25用於將上述的設置及計算數據輸出至 β 一表單中，並將該表單及測試結果存儲至資料庫3中。例 如’將影像區域設置模組21所設置的測試影像區域之大 小、參考影像區域之大小、測試影像區域之間的距離、 · 測試影像區域與參考影像區域之間的距離、計算得出之 灰度平均值、公式、規範值及污點濃度等資料輸出至一On September 16, 099, the coordinates of the 25 points can be as follows: (χ-2, y-2 (xl, y~2 (x, y-2) (x+1, y-2 (x+ 2,y-2 ) ) ) ) (x-2,y-1 (xl,yi (x,yl) (x+1,y-1 (x+2,y-1 ) ) ) ) ) (x-2 ,y) (xl,y) “,y) (x+1,y) (x+2,y) (x-2,y+1 (xl,y+l (x,y+l) (x+ 1,y + l (x+2,y+l ) ) ) ) (x-2,y+2 (xl,y+2 (x,y+2) (x+1,y + 2 (x+2 , y+2 ) ) ~:v TM :- - ) ) The gray value of the above 25 points can be counted: i out the test image...V, ; the gray level average of the area. : i· U S4/·.' . - '.: V • ' i ; . . . . . . [0028] The calculation module 23 is further configured to determine a reference image region corresponding to the selected test image region. And calculating the gray average value of the reference image area. The calculating module 23 pairs, the selection of the area: the selection of the area can be preset from the left to the right of the image, and from the top to the bottom. [0029] The concentration comparison module 24 is configured to preset a specification value of a stain concentration, which can be set according to different manufacturers' factory specifications of the camera module 。. For example, the specification value can be set to 4%. [0030] The concentration comparison module 24 is further configured to preset a formula to compare the obtained grayscale average values of the test image region and the reference image region to calculate the stain concentration of the test image region, and calculate the calculated The stain concentration is compared with the specification value to determine whether the image exists and whether the camera module 1 that captures the image is qualified. Obvious stain ° The preset 096112583 Form number Α 0101 Page 11 / Total 25 page 0993332729-0 [ 0031] 09099年月16 BB正正百百| The formula is: stain concentration = (1 - the gray value average of the test image area / the gray level average of the reference image area) *1009^ If the stain concentration exceeds the The specification value can be determined that the image has obvious stains', then the camera module 1 can be determined to be a non-conforming product; if the stain concentration does not exceed the specification value, the next test image area and its corresponding reference image area can be selected for calculation. 'The camera module 1 is a qualified product until it is determined that the stain concentration of all the test image areas does not exceed the specification value, and it can be determined that the image has no obvious stain. [0032] The result rounding module 25 is configured to output the above setting and calculation data into the β-form, and store the form and the test result in the database 3. For example, 'the size of the test image area set by the image area setting module 21, the size of the reference image area, the distance between the test image areas, · the distance between the test image area and the reference image area, and the calculated gray Output the average value, formula, specification value and stain concentration to one
Excel表格中（如圖5所示），從而保留測試資料供用戶 進行參考。用戶可根據反饋之測試結果，對相機模組1所 血 w 包括的各個元器件進行檢查，以確定造成污點的原因。 [0033] 如圖3所示，係本發明相機模組污點測試方法之較佳實施 例之流程圖。首先，步驟S2，影像獲取模組20藉由影像 資料線4從相機模組1中的影像感測器1〇處獲取影像，並 在電腦1中顯示該影像從而對該影像進行相應的處理。 [0034] 步驟S4，影像區域設置模組21設置測試影像區域及對應 之參考影像區域的大小，以及設置測試影像區域之間， 以及測試影像區域與參考影像區域之間的距離。在測試 096112583 表單編號A0101 第丨2頁/共25頁 0993332729-0 '1333781 099年09月16日核正替换頁 過程中，用戶可藉由影像區域設置模組21將測試影像區 域設置成一或者多個不同大小的數值，並將每一測試影 像區域與其對應之參考影像區域進行比較，從而獲得精 確的測試結果。 [0035] 步驟S6，影像區域切割模組22根據設置的測試影像區域 的大小及測試影像區域之間的距離將所獲取之影像切割 成若干個測試影像區域，並根據設置的參考影像區域之 大小及測試影像區域與參考影像區域之間的距離劃分每 • 一測試影像區域對應之參考影像區域。 [0036] 步驟S8，計算模組23選擇一測試影像區埃.，並確定與該 測試影像區域對應之參考影像廏域。，. ψ . ^ 4 〆 • * 1%. ! 'In the Excel table (as shown in Figure 5), the test data is retained for reference by the user. Based on the feedback test results, the user can check each component included in the blood module of the camera module 1 to determine the cause of the stain. [0033] As shown in FIG. 3, it is a flow chart of a preferred embodiment of the method for testing a stain of a camera module of the present invention. First, in step S2, the image acquisition module 20 acquires an image from the image sensor 1 in the camera module 1 through the image data line 4, and displays the image in the computer 1 to perform corresponding processing on the image. [0034] Step S4, the image area setting module 21 sets the size of the test image area and the corresponding reference image area, and sets the distance between the test image areas and the test image area and the reference image area. In the test 096112583 Form No. A0101 Page 2 / Total 25 Page 0993332729-0 '1333781 On September 16th, 2009, the user can set the test image area to one or more by the image area setting module 21. A different size value is used, and each test image area is compared with its corresponding reference image area to obtain accurate test results. [0035] Step S6, the image area cutting module 22 cuts the acquired image into a plurality of test image areas according to the size of the set test image area and the distance between the test image areas, and according to the size of the set reference image area. And the distance between the test image area and the reference image area divides the reference image area corresponding to each test image area. [0036] Step S8, the calculation module 23 selects a test image area and determines a reference image area corresponding to the test image area. ,. ψ . ^ 4 〆 • * 1%. ! '
[0037] 步驟S10，計算模組23根據該測試影像區誠及對應之參考 影像區域内各點之灰度值計算出灰度平均值。其中，該 灰度平均值是對選擇區域内各圖元點之灰度值累加後求 得的算術平均值，而每個圖元點之灰度值的計算是藉由 獲得該圖元點的三原色的值，並利用公式（0.3*紅+ 0.59*綠+ 0.11*藍）進行計算得i。 [0038] 步驟S12，濃度比較模組24預設一污點濃度之規範值，預 設一公式對所得之測試影像區域及參考影像區域之灰度 平均值進行比較，從而計算出該測試影像區域之污點濃 度。其中，該規範值可根據生産廠商對相機模組1的出廠 規格進行設置。計算污點濃度之公式爲：污點濃度=(卜 / 測試影像區域之灰度平均值/參考影像區域之灰度平均值 )*100% 。 096112583 表單編號A0101 第13頁/共25頁 0993332729-0 1333781 099年09月16日梭正替換百 [0039] 步驟S14，濃度比較模組24將計算所得之污點濃度與規範 值進行比較，判斷該測試影像區域之污點濃度是否超過 預設之規範值。 [0040] 步驟S16，若該污點濃度小於或者等於該規範值，則判斷 是否還有其他未選的測試影像區域。若存在未選的測試 影像區域，則返回至步驟S8。 [0041] 步驟S18，若不存在未選的測試影像區域，即所有切割的 測試影像區域都已經完成相應的計算、比較，則濃度比 較模組24可確定該影像不存在明顯污點，且該相機模組1 爲合格産品。 《 [0042] 步驟S20，結果輸出模組25將上述的,設置及計算數據輸出 至一表單中，並將該表單及洳試結果存儲至資料庫3中， 並結束本流程。 [0043] 若步驟S14中，濃度比較模組24判斷該測試影像區域之污 點濃度超過預設之規範值，則在步驟S22中，該濃度比較 . , · .- 模組24可確定該影像存在明顯污點，且判斷該相機模組1 < - ： .· ； '. . 爲不合格産品，然後，流程轉至步驟S20。 [0044] 在本流程圖中，影像區域設置模組21僅將測試影像區域 的大小設置爲一數值（例如：15*15圖元），若爲了獲得 更加精確的測試結果，則在執行完步驟S16後仍然未發現 該影像存在明顯的污點，還可重複執行步驟S4-S16，將 測試影像區域的大小設置爲其他數值（例如：5*5，或 60*60 )，並進行後續相應之計算及比較，從而獲得最終 的測試結果。 096112583 表單編號 A0101 第 14 頁/共 25 頁 0993332729-0 1333781 - 099年09月16日修正替换頁 [0045] 如圖4所示，係本發明相機模組污點測試方法之影像區域 切割示意圖。影像獲取模組20從相機模組1處獲取影像6 ，利用影像區域設置模組21及影像區域切割模組22將該 影像切割成多個測試影像區域及一 一對應之參考影像區 域，例如，測試影像區域610及對應之參考影像區域611 •，其區域間距61之大小等於參考影像區域611之大小。 [0046] 圖4中測試影像區域610、620及630的大小爲15*15圖元 ，對應之參考影像區域611、621及631的大小爲60*60圖 • 元，區域間距61、62及63皆爲60*60圖元。 [0047] 如圖5所示，係本發明相機模組污點測試方法之資料輸出 示意圖。結果輸出模組25在測試完兔#，職測試過程中 的參數設置及計算數據輸出至一表單中，並蔣該表單及 測試結果存儲至資料庫3中。圖5所示的Excel表格中包括 :將影像區域設置模組21所設置的測試影像區域的大小 、參考影像區域的大小、測試影像區域之間的距離、測 - .· . ' .. . 試影像區域與參考影像區域之砑的距離、計算得出之灰 度平均值、公式、規範值及污點濃度等資料。 [0048] 圖5所示表單僅爲一資料輸出的範例，實際應用中並不限 於此，例如，表單可以爲WORDTM、PDFTM等格式，資料列 舉之順序及類型可根據實際測試之要求進行相應的修改 [0049] 本發明雖以較佳實施例揭露如上，然其並非用以限定本 發明。任何熟悉此項技藝者，在不脫離本發明之精神和 範圍内，當可做更動與潤飾，因此本發明之保護範圍當 096112583 表單編號 A0101 第 15 頁/共 25 頁 0993332729-0 1333781 099年09月16日俊正替換頁 視後附之申請專利範圍所界定者為準。 【圖式簡單說明】 [0050] 圖1係本發明相機模組污點測試系統之較佳實施例之硬體 架構圖。 [0051] 圖2係本發明相機模組污點測試系統之功能模組圖。 [0052] 圖3係本發明相機模組污點測試方法之較佳實施例之流程 圖。 [0053] 圖4係本發明相機模組污點測試方法之影像區域切割示意 圖。 [0054] 圖5係本發明相機模組污點測試方法之資料輪出示意圖。 【主要元件符號說明】 [0055] 相機模組1 [0056] 影像感測器10 [0057] 鏡頭 12[0037] Step S10, the calculation module 23 calculates a gray average value according to the gray value of each point in the test image area and the corresponding reference image area. Wherein, the gray average value is an arithmetic mean value obtained by accumulating the gray value of each primitive point in the selected area, and the gray value of each primitive point is calculated by obtaining the primitive point. The value of the three primary colors is calculated using the formula (0.3*Red+0.59*Green+0.11*Blue). [0038] Step S12, the concentration comparison module 24 presets a normal value of the stain concentration, and presets a formula to compare the gray average values of the obtained test image area and the reference image area, thereby calculating the test image area. Stain concentration. The specification value can be set according to the manufacturer's factory specifications of the camera module 1. The formula for calculating the stain concentration is: the stain concentration = (b / the gray average of the test image area / the gray average of the reference image area) * 100%. 096112583 Form No. A0101 Page 13/Total 25 Page 0993332729-0 1333781 On September 16, 2009, the shuttle is replacing 100 [0039] Step S14, the concentration comparison module 24 compares the calculated stain concentration with the normal value, and determines the Tests whether the stain concentration in the image area exceeds the preset specification value. [0040] Step S16, if the stain concentration is less than or equal to the specification value, it is determined whether there are other unselected test image regions. If there is an unselected test image area, the process returns to step S8. [0041] Step S18, if there is no unselected test image area, that is, all the cut test image areas have been calculated and compared, the concentration comparison module 24 can determine that the image has no obvious stain, and the camera Module 1 is a qualified product. [0042] In step S20, the result output module 25 outputs the above-mentioned settings and calculation data to a form, and stores the form and the test result in the database 3, and ends the flow. [0043] If the concentration comparison module 24 determines in step S14 that the stain concentration of the test image region exceeds a preset specification value, then in step S22, the concentration comparison. , . . . module 24 may determine that the image exists. Obviously stained, and it is judged that the camera module 1 < - : . . ; '. is a defective product, and then the flow proceeds to step S20. [0044] In the flowchart, the image area setting module 21 only sets the size of the test image area to a value (for example, 15*15 primitives), and if the step is performed in order to obtain more accurate test results, After S16, the image has not been found to have obvious stains. Steps S4-S16 can be repeated to set the size of the test image area to other values (for example, 5*5, or 60*60), and subsequent calculations are performed. And compare to get the final test results. 096112583 Form No. A0101 Page 14 of 25 0993332729-0 1333781 - Correction Replacement Page on September 16, 099 [0045] As shown in FIG. 4, it is a schematic diagram of image area cutting of the camera module stain test method of the present invention. The image acquisition module 20 acquires the image 6 from the camera module 1 and cuts the image into a plurality of test image regions and a corresponding reference image region by using the image region setting module 21 and the image region cutting module 22, for example, The test image area 610 and the corresponding reference image area 611 are equal to the size of the reference image area 611. [0046] The size of the test image areas 610, 620, and 630 in FIG. 4 is 15*15 primitives, and the size of the reference image areas 611, 621, and 631 is 60*60 pixels, and the area spacings are 61, 62, and 63. Both are 60*60 entities. [0047] As shown in FIG. 5, it is a schematic diagram of data output of the camera module stain test method of the present invention. The result output module 25 outputs the parameter settings and calculation data in the test process to the form, and the form and the test result are stored in the database 3. The Excel table shown in FIG. 5 includes: the size of the test image area set by the image area setting module 21, the size of the reference image area, the distance between the test image areas, and the measurement - . . . . . . . The distance between the image area and the reference image area, the calculated gray level average, the formula, the specification value, and the stain concentration. [0048] The form shown in FIG. 5 is only an example of data output, and the actual application is not limited thereto. For example, the form may be in the form of WORDTM, PDFTM, etc., and the order and type of data enumeration may be corresponding according to actual test requirements. Modifications [0049] The present invention has been described above by way of a preferred embodiment, and is not intended to limit the invention. Anyone skilled in the art can make changes and refinements without departing from the spirit and scope of the present invention, so the scope of protection of the present invention is 096112583 Form No. A0101 Page 15 of 25 0993332729-0 1333781 099 09 On the 16th of June, the replacement page is subject to the definition of the patent application scope attached to it. BRIEF DESCRIPTION OF THE DRAWINGS [0050] FIG. 1 is a hardware structural diagram of a preferred embodiment of a camera module stain test system of the present invention. 2 is a functional block diagram of a camera module stain test system of the present invention. 3 is a flow chart of a preferred embodiment of a method for testing a stain of a camera module of the present invention. 4 is a schematic view showing the image area cutting of the camera module stain test method of the present invention. [0054] FIG. 5 is a schematic diagram showing the data wheeling of the camera module stain test method of the present invention. [Main Component Symbol Description] [0055] Camera Module 1 [0056] Image Sensor 10 [0057] Lens 12
[0058] 鏡座 14 [0059] 電腦 2 [0060] 影像獲取模組20 [0061] 影像區域設置模組21 [0062] 影像區域切割模組22 [0063] 計算模組23 [0064] 濃度比較模組24 0993332729-0 096112583 表單編號A0101 第16頁/共25頁 1333781[0058] Mirror Holder 14 [0059] Computer 2 [0060] Image Acquisition Module 20 [0061] Image Area Setting Module 21 [0062] Image Area Cutting Module 22 [0063] Computing Module 23 [0064] Concentration Comparison Mode Group 24 0993332729-0 096112583 Form number A0101 Page 16 of 25 1333881
[0065] 結果輸出模組 25 [0066] 資料庫3 [0067] 影像資料線4 [0068] 連接5 [0069] 影像6 [0070] 測試影像區域 610 ' 620 ' 630 [0071] 參考影像區域 611 、621 、 631 [0072] 區域間距61、 62 ' 63 099年09月16日修正替换頁 ' ^ ·Result Output Module 25 [0066] Database 3 [0067] Image Data Line 4 [0068] Connection 5 [0069] Image 6 [0070] Test Image Area 610 ' 620 ' 630 [0071] Reference Image Area 611 , 621, 631 [0072] Area spacing 61, 62 '63 September 16, revised correction page ' ^ ·
096112583 表單编號A0101 第17頁/共25頁 0993332729-0096112583 Form No. A0101 Page 17 of 25 0993332729-0