TWM631027U - Image data comparison system - Google Patents
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Abstract
一種影像資料比對系統，包含影像資料比對裝置及影像處理裝置，影像資料比對裝置包含運算單元及儲存單元，運算單元接收測試影像資料，儲存單元儲存標準影像資料；其中，影像處理裝置接收測試影像訊號，並根據測試影像訊號產生測試影像資料後，傳送測試影像資料至該運算單元；其中，測試影像訊號包含影像單元，影像單元包含位元值為0、1、2、4、8、16、32、64、128的九個像素；其中，當運算單元接收到測試影像資料時，運算單元自儲存單元讀取標準影像資料，並比對測試影像資料與標準影像資料是否相同。 An image data comparison system, comprising an image data comparison device and an image processing device, the image data comparison device includes an operation unit and a storage unit, the operation unit receives test image data, and the storage unit stores standard image data; wherein, the image processing device receives test image signal, and after generating test image data according to the test image signal, send the test image data to the operation unit; wherein, the test image signal includes an image unit, and the image unit includes bit values of 0, 1, 2, 4, 8, The nine pixels of 16, 32, 64, and 128; wherein, when the operation unit receives the test image data, the operation unit reads the standard image data from the storage unit, and compares whether the test image data and the standard image data are the same.
Description
一種影像資料比對系統，特別是指比對測試影像資料與標準影像資料，以對影像擷取功能進行測試的影像資料比對系統。 An image data comparison system, especially an image data comparison system that compares test image data and standard image data to test the image capture function.
互補金屬氧化物半導體式影像感測器(CMOS Image Sensor,CIS)是透過將光信號轉換為數位形式的資料，藉此創建可視的影像，是數位相機、攝像機等影像設備中的必要元件之一，再由影像處理元件接收影像感測器所產生的數位影像資料。 Complementary metal-oxide-semiconductor image sensor (CMOS Image Sensor, CIS) is one of the necessary components in imaging equipment such as digital cameras and video cameras by converting optical signals into digital data to create visual images. , and the digital image data generated by the image sensor is received by the image processing element.
為了驗證影像處理元件是否正常運作，除了測試影像感測器的邏輯控制功能是否正常外，一般會使用全黑測試影像、灰白測試影像或全白測試影像等測試影像來測試影像處理元件處理後所產生的影像訊號是否異常，全黑測試影像中每一像素的位元皆為0(以二進制顯示即為00000000)，灰白測試影像中每一像素的位元皆為128(以二進制顯示即為10000000)，全白測試影像中每一像素的位元皆為255(以二進制顯示即為11111111)。由於全黑測試影像、灰白測試影像及全白測試影像中每一像素的位元值皆相同，當影像處理元件接收到影像感測器感測全黑測試影像、灰白測試影像或全白測試影像而產生的數位影像資料後，影像處理元件便會對數位影像資料進行處理，以產生數位影像訊號。接著，便可通過判斷數位影像訊號中的每一像素的位元值是否相同，來確認影像處理元件產生的數位影像訊號是否異常。當數位影像訊號中有任何一個 像素的位元於其他像素的位元值不相同時，即可判斷影像處理元件的產生的數位影像訊號發生異常。 In order to verify whether the image processing element operates normally, in addition to testing whether the logic control function of the image sensor is normal, test images such as an all-black test image, a gray-white test image or an all-white test image are generally used to test the image processing elements after processing. Whether the generated image signal is abnormal, the bit of each pixel in the black test image is 0 (in binary display, it is 00000000), and the bit of each pixel in the gray test image is 128 (in binary display, it is 10000000). ), the bits of each pixel in the all-white test image are 255 (11111111 in binary display). Since the bit value of each pixel in the all-black test image, gray-white test image, and all-white test image is the same, when the image processing element receives the image sensor to sense the all-black test image, gray-white test image, or all-white test image After the generated digital image data, the image processing element will process the digital image data to generate a digital image signal. Then, it can be confirmed whether the digital image signal generated by the image processing element is abnormal by judging whether the bit value of each pixel in the digital image signal is the same. When any one of the digital video signals When the bit value of a pixel is different from that of other pixels, it can be determined that the digital image signal generated by the image processing element is abnormal.
然而，影像處理元件發生異常狀況的種類眾多，目前的全黑測試影像、灰白測試影像及全白測試影像只能用於偵測單一像素的異常，當某一異常像素會影響其周圍其他像素或同一行/列的其他像素時，由於前述的測試影像的各像素皆為同位元值，單一像素影響周圍其他像素的情形便無法被偵測，由此可見，現有的測試影像仍有改良的空間。 However, there are many types of abnormal conditions in the image processing element. The current all-black test image, gray-white test image and all-white test image can only be used to detect the abnormality of a single pixel. When an abnormal pixel will affect other surrounding pixels or When there are other pixels in the same row/column, since each pixel in the aforementioned test image has the same bit value, the situation that a single pixel affects other surrounding pixels cannot be detected. It can be seen that there is still room for improvement in the existing test image. .
有鑑於此，本新型提供一種影像資料比對系統，由該影像資料比對系統透過比對標準影像資料與測試影像資料，判斷測試影像資料是否異常，改善習知測試影像無法偵測影像處理元件產生影像時，單一像素影響周圍像素的狀況。 In view of this, the present invention provides an image data comparison system. The image data comparison system determines whether the test image data is abnormal by comparing the standard image data and the test image data, so as to improve that the conventional test image cannot detect the image processing element. When creating an image, a single pixel affects the condition of surrounding pixels.
為達成前述目的，本新型影像資料比對系統，包含有一影像資料比對裝置及一影像處理裝置，且該影像資料比對裝置包含有：一運算單元，接收一測試影像資料；以及一儲存單元，連接該運算單元，並儲存有一標準影像資料；其中，該影像處理裝置連接該影像資料比對裝置的該運算單元，且該影像處理裝置接收一測試影像訊號，並根據該測試訊號產生該測試影像資料後，傳送該測試影像資料至該運算單元；其中，該測試影像訊號包含複數影像單元，各該影像單元包含位元值為0、1、2、4、8、16、32、64、128的九個像素；其中，當該運算單元接收到該測試影像資料時，該運算單元自該儲存單元讀取該標準影像資料，並比對該測試影像資料與該標準影像資料是否相同； 當該測試影像資料與該標準影像資料相同時，該運算單元產生一正常訊號；當該測試影像資料與該標準影像資料不相同時，該運算單元產生一異常訊號。 In order to achieve the aforementioned object, the novel image data comparison system includes an image data comparison device and an image processing device, and the image data comparison device includes: an operation unit for receiving a test image data; and a storage unit , is connected to the operation unit and stores a standard image data; wherein, the image processing device is connected to the operation unit of the image data comparison device, and the image processing device receives a test image signal and generates the test according to the test signal After the image data, the test image data is sent to the operation unit; wherein, the test image signal includes a plurality of image units, and each of the image units includes bit values of 0, 1, 2, 4, 8, 16, 32, 64, 128 of nine pixels; wherein, when the operation unit receives the test image data, the operation unit reads the standard image data from the storage unit, and compares whether the test image data is the same as the standard image data; When the test image data is the same as the standard image data, the operation unit generates a normal signal; when the test image data is different from the standard image data, the operation unit generates an abnormal signal.
本新型中，該測試影像訊號包含複數影像單元，各該影像單元包含位元值為0、1、2、4、8、16、32、64、128共九個像素，換句話說，由於該測試影像訊號是由位元值為0、1、2、4、8、16、32、64、128共九個像素為單位重複組成的影像，該測試影像訊號中每行/列上各像素的位元值皆不同，與習知的測試影像相比，本新型的影像資料比對裝置對於該測試影像資料進行檢測時，仍可檢測到當該影像處理元件異常導致一像素的異常會影響周圍像素或同一行/列的像素的情形，改善習知測試影像無法偵測單一像素影響周圍像素的問題。 In the present invention, the test image signal includes a plurality of image units, and each of the image units includes a total of nine pixels with bit values of 0, 1, 2, 4, 8, 16, 32, 64, and 128. In other words, due to the The test image signal is an image composed of nine pixels whose bit values are 0, 1, 2, 4, 8, 16, 32, 64, and 128. The bit values are all different. Compared with the conventional test image, when the image data comparison device of the present invention detects the test image data, it can still detect that the abnormality of one pixel caused by the abnormality of the image processing element will affect the surrounding environment. The situation of pixels or pixels in the same row/column improves the problem that the conventional test image cannot detect that a single pixel affects the surrounding pixels.
10:影像資料比對裝置 10: Image data comparison device
11:運算單元 11: Operation unit
12:儲存單元 12: Storage unit
20:測試影像產生裝置 20: Test image generation device
30:影像處理裝置 30: Image processing device
T:測試影像訊號 T: Test image signal
P:測試影像資料 P: Test image data
A:影像單元 A: Video unit
圖1：本新型影像資料比對系統的方塊示意圖。 Figure 1: A block diagram of the new image data comparison system.
圖2：第一實施例中測試影像訊號的示意圖。 FIG. 2 is a schematic diagram of a test image signal in the first embodiment.
圖3：第一實施例中測試影像訊號所對應的像素位元表。 Figure 3: The pixel bit table corresponding to the test image signal in the first embodiment.
圖4：第二實施例中測試影像訊號的示意圖。 FIG. 4 is a schematic diagram of the test image signal in the second embodiment.
圖5：第二實施例中測試影像訊號所對應的像素位元表。 Figure 5: The pixel bit table corresponding to the test image signal in the second embodiment.
請參看圖1所示，本新型係一種影像資料比對系統包含有一影像資料比對裝置10、一測試影像產生裝置20及一影像處理裝置30。該影像處理裝置30連接該測試影像產生裝置20，並接收該測試影像產生裝置20所產生的一測
試影像訊號T，且該影像處理裝置30根據該測試影像訊號T產生一測試影像資料P。
Please refer to FIG. 1 , an image data comparison system of the present invention includes an image
該影像資料比對裝置10包含有一運算單元11以及一儲存單元12，該儲存單元12連接該運算單元11，且該運算單元11連接該影像處理裝置30，以接收該測試影像資料P。該儲存單元12儲存有一標準影像資料，當該影像資料比對裝置10的該運算單元11接收該測試影像資料P時，該運算單元11自該儲存單元12讀取該標準影像資料，並將該測試影像資料P與該標準影像資料進行比對，以測試該影像處理裝置30的成像功能是否異常。
The image
舉例來說，該影像資料比對裝置10可為一電腦、平板、手機等電子裝置，該運算單元11可為一微控制器或處理器，該儲存單元12可為一記憶體或一硬碟等儲存裝置。該影像處理裝置30可為一擷取卡(Capture Card)。該測試影像產生裝置20亦可為一電腦、平板、手機等可傳輸電子訊號的電子裝置。
For example, the image
由於該測試影像產生裝置20係對應該標準影像資料產生該測試影像訊號T的，因此，當該影像處理裝置30的成像功能正常時，該影像處理裝置30由該測試影像訊號T產生的該測試影像資料P應與該標準影像資料相同，故該運算單元11產生一正常訊號。換言之，當該測試影像資料P與該標準影像資料相異時，代表該影像處理裝置30的成像功能異常，故該運算單元11產生一異常訊號。
Since the test
配合圖2及圖3所示，該測試影像訊號T可包含有複數影像單元A，於第一實施例中，該測試影像訊號T中各該影像單元A包含位元值為0、1、2、4、8、16、32、64、128共九個不同像素，由各該影像單元A組成該測試影像訊號T，該測試影像訊號T中位元值為0、1、2、4、8、16、32、64、128的九個影像單元A可以九宮格狀的方式排列，或以X軸方向連續排列，且該測試影像訊號T以各該影像單元A為單位延伸組成不同大小的影像。圖2中以18像素x18 像素的測試影像訊號T為例，若將該測試影像訊號T中的每個像素以圖3表格中的位元值方式呈現，由於該測試影像訊號T是以像素呈九宮格狀的方式排列或X軸方向連續排列的各該影像單元A為單位組成，以九宮格方式任意選取相鄰的九個像素，其像素的位元值必定包含0、1、2、4、8、16、32、64、128這九個數值，另一方面，以X軸方向任意選取連續的九個像素，其像素的位元值也必定包含0、1、2、4、8、16、32、64、128這九個數值，而若將該測試影像訊號T以可視化的顏色影像表示，則如圖2所呈現，由於每一像素具有不同的位元值，造成每一像素的色階不同。較佳的，該測試影像訊號T的像素尺寸可為288像素x288像素。 As shown in FIG. 2 and FIG. 3 , the test image signal T may include a plurality of image units A. In the first embodiment, each of the image units A in the test image signal T includes bit values of 0, 1, and 2. , 4, 8, 16, 32, 64, 128, a total of nine different pixels, each of the image units A constitute the test image signal T, the median value of the test image signal T is 0, 1, 2, 4, 8 , 16, 32, 64, 128 of the nine image units A can be arranged in a nine-grid pattern, or arranged continuously in the X-axis direction, and the test image signal T is extended with each image unit A as a unit to form images of different sizes. In Figure 2, 18 pixels x18 The test image signal T of the pixel is taken as an example, if each pixel in the test image signal T is presented in the form of bit values in the table of FIG. Each of the image units A arranged continuously in the axial direction is composed of units, and the adjacent nine pixels are arbitrarily selected in a nine-square grid, and the bit value of the pixels must include 0, 1, 2, 4, 8, 16, 32, 64, The nine values of 128, on the other hand, randomly select nine consecutive pixels in the X-axis direction, and the bit value of the pixel must also contain the nine values of 0, 1, 2, 4, 8, 16, 32, 64, and 128. If the test image signal T is represented by a visual color image, as shown in FIG. 2 , since each pixel has a different bit value, the color level of each pixel is different. Preferably, the pixel size of the test image signal T may be 288 pixels×288 pixels.
配合圖4及圖5所示，於第二實施例中，該測試影像訊號T中各該影像單元A包含位元值為0、1、2、4、8、16、32、64、128共九個不同像素，由各該影像單元A組成該測試影像訊號T，該測試影像訊號T中位元值為0、1、2、4、8、16、32、64、128的九個影像單元A可以九宮格狀的方式排列，或以Y軸方向連續排列，且該測試影像訊號T以各該影像單元A為單位延伸組成不同大小的影像。圖4中以18像素x18像素的測試影像訊號T為例，若將該測試影像訊號T中的每個像素以圖5表格中的位元值方式呈現，由於該測試影像訊號T是以像素呈九宮格狀的方式排列或Y軸方向連續排列的各該影像單元A為單位組成，以九宮格方式任意選取相鄰的九個像素，其像素的位元值必定包含0、1、2、4、8、16、32、64、128這九個數值，另一方面，以Y軸方向任意選取連續的九個像素，其像素的位元值也必定包含0、1、2、4、8、16、32、64、128這九個數值，而若將該測試影像訊號T以可視化的顏色影像表示，則如圖5所呈現，由於每一像素具有不同的位元值，造成每一像素的色階不同。較佳的，該測試影像訊號T的像素尺寸可為288像素x288像素。 4 and 5, in the second embodiment, each of the image units A in the test image signal T includes a total of 0, 1, 2, 4, 8, 16, 32, 64, and 128. Nine different pixels, each of the image units A constitute the test image signal T, and the test image signal T has nine image units whose bit values are 0, 1, 2, 4, 8, 16, 32, 64, and 128 A can be arranged in a nine-square grid, or continuously arranged in the Y-axis direction, and the test image signal T is extended with each image unit A as a unit to form images of different sizes. In FIG. 4, the test image signal T of 18 pixels×18 pixels is used as an example. If each pixel in the test image signal T is represented by the bit value in the table in FIG. 5, because the test image signal T is represented by pixels Each image unit A arranged in a nine-square grid or continuously arranged in the Y-axis direction is composed of units, and the adjacent nine pixels are arbitrarily selected in a nine-square grid, and the bit value of the pixel must include 0, 1, 2, 4, 8 , 16, 32, 64, 128 these nine values, on the other hand, randomly select nine consecutive pixels in the Y-axis direction, the bit value of the pixel must also include 0, 1, 2, 4, 8, 16, The nine values of 32, 64, and 128, and if the test image signal T is represented by a visual color image, as shown in Figure 5, since each pixel has a different bit value, the color level of each pixel is caused different. Preferably, the pixel size of the test image signal T may be 288 pixels×288 pixels.
以下以該影像處理裝置30發生異常，導致若某一像素其相位值的第四位元為1時，與該像素相鄰的像素的位元值會轉變與該像素的位元值相同為例。
The following is an example of an abnormality in the
配合下列表格1及表格2所示，以該測試影像訊號T為一3像素x3像素的測試影像訊號T為例，對該影像處理裝置30的成像功能進行測試，表格1為將該測試影像訊號T中各個像素的位元值以十進制方式呈現，而表格2將該測試影像訊號T中各個像素的位元值以二進制方式呈現。
In accordance with the following Tables 1 and 2, taking the test image signal T as a 3-pixel×3-pixel test image signal T as an example, the imaging function of the
進一步配合下列表格3及表格4所示，由於該測試影像訊號T其正中心像素的位元值以十進制方式呈現時為00001000，其第四位元為1，因此當該影像處理裝置30接收該測試影像訊號T時，該影像處理裝置30所產生的該測試影像資料P會發生異常，與該測試影像訊號T其正中心像素相鄰的各像素的位元值會轉變為00001000，即轉變成與正中心像素的位元值相同，而異常的該測試影像資料P與該標準影像資料中各像素的位元值並不相同，因此根據該測試影像訊號T與該標準影像資料中各像素的位元值的差異，即可判斷該影像處理裝置30發生異常，達到測試該影像處理裝置30其成像功能是否正常的目的。
Further in accordance with the following Tables 3 and 4, since the bit value of the center pixel of the test image signal T is 00001000 in decimal format, and the fourth bit is 1, when the
除此之外，前述是以該測試影像訊號T由包含位元值為0、1、2、4、8、16、32、64、128共九個影像單元A呈九宮格狀組成，並進行該影像處理裝置30的成像檢測為例，本新型亦可以該測試影像訊號T由包含位元值為0、1、2、4、8、16、32、64、128共九個影像單元A呈X軸方向排列組成，並進行該影像處理裝置30的成像檢測，或以該測試影像訊號T由包含位元值為0、1、2、4、8、16、32、64、128共九個影像單元A呈Y軸方向排列，進行該影像處理裝置30的成像檢測。
In addition, as mentioned above, the test image signal T is composed of nine image units A including
本新型藉由該測試影像訊號T對該影像處理裝置30的成像功能進行測試，在該測試影像產生裝置20(CIS)的測試產品正式量產前，確保該影像處理裝置30運作正常，以免影響該測試影像產生裝置20(CIS)的測試產品的性能，並避免因該影像處理裝置30運作異常，而導致正式進行產品測試時無法檢出異常產品。
In the present invention, the imaging function of the
綜上所述，由於該測試影像訊號T是由包含位元值為0、1、2、4、8、16、32、64、128共九個影像單元A為單位組成的影像，且該影像單元A的該九個像素可以呈九宮格狀、X軸方向連續排列或Y軸方向連續排列，當該
影像資料比對裝置10接收該影像處理裝置30產生的該測試影像資料P時，該運算單元11即可將該影像處理裝置30所產生的該測試影像資料P與該標準影像資料進行比對。若該影像處理裝置30所產生的該測試影像資料P與該標準影像資料不相符時，即代表該影像處理裝置30發生異常。將本新型中的該測試影像訊號T與習知的測試影像相比，由於該測試影像訊號T中每行/列上各像素的位元值皆不同，當該影像處理裝置30異常導致其所產生的影像中一像素的異常會影響周圍像素或同一行/列的像素時，透過本新型中的該測試影像訊號T仍可檢測到異常成像的情形，改善習知測試影像無法偵測單一像素影響周圍像素的問題。
To sum up, since the test image signal T is an image composed of nine image units A with bit values of 0, 1, 2, 4, 8, 16, 32, 64, and 128, and the image The nine pixels of unit A can be in the shape of a nine-square grid, arranged continuously in the X-axis direction or continuously arranged in the Y-axis direction.
When the image
10:影像資料比對裝置 10: Image data comparison device
11:運算單元 11: Operation unit
12:儲存單元 12: Storage unit
20:測試影像產生裝置 20: Test image generation device
30:影像處理裝置 30: Image processing device
T:測試影像訊號 T: Test image signal
P:測試影像資料 P: Test image data
F:標準影像資料 F: Standard image data
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