Automated optical inspection method, automated optical inspection system and storage medium
An automated optical inspection method, an automated optical inspection system, and a storage medium are provided. The method includes the following. An original image including first images of a target object is captured by an optical lens. An edge detection is performed on the original image to ob...
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| creator | LEE, CHIA-YEH GU, CHENG-WEI WANG, SHANGI |
| description | An automated optical inspection method, an automated optical inspection system, and a storage medium are provided. The method includes the following. An original image including first images of a target object is captured by an optical lens. An edge detection is performed on the original image to obtain an edge image including second images having an edge pattern. At least one of maximum, minimum, and average values of a pixel value in the second images is calculated. The edge image is divided into image blocks according to a unit area, and characteristic values are calculated according to the at least one of the maximum, minimum, and average values corresponding to the second images included in the image blocks. An optimal regression model is obtained by training a regression model corresponding to a defect of the target object according to the characteristic values and a data of the target object. |
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The method includes the following. An original image including first images of a target object is captured by an optical lens. An edge detection is performed on the original image to obtain an edge image including second images having an edge pattern. At least one of maximum, minimum, and average values of a pixel value in the second images is calculated. The edge image is divided into image blocks according to a unit area, and characteristic values are calculated according to the at least one of the maximum, minimum, and average values corresponding to the second images included in the image blocks. 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The method includes the following. An original image including first images of a target object is captured by an optical lens. An edge detection is performed on the original image to obtain an edge image including second images having an edge pattern. At least one of maximum, minimum, and average values of a pixel value in the second images is calculated. The edge image is divided into image blocks according to a unit area, and characteristic values are calculated according to the at least one of the maximum, minimum, and average values corresponding to the second images included in the image blocks. 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| language | chi ; eng |
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| subjects | AFTER-TREATMENT OF SINGLE CRYSTALS OR A HOMOGENEOUSPOLYCRYSTALLINE MATERIAL WITH DEFINED STRUCTURE APPARATUS THEREFOR CALCULATING CHEMISTRY COMPUTING COUNTING CRYSTAL GROWTH IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING METALLURGY PHYSICS PRODUCTION OF A HOMOGENEOUS POLYCRYSTALLINE MATERIAL WITHDEFINED STRUCTURE REFINING BY ZONE-MELTING OF MATERIAL SINGLE CRYSTALS OR HOMOGENEOUS POLYCRYSTALLINE MATERIAL WITHDEFINED STRUCTURE SINGLE-CRYSTAL-GROWTH TESTING UNIDIRECTIONAL SOLIDIFICATION OF EUTECTIC MATERIAL ORUNIDIRECTIONAL DEMIXING OF EUTECTOID MATERIAL |
| title | Automated optical inspection method, automated optical inspection system and storage medium |
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