A battery silk screen quality detection method based on orb feature matching and lk optical flow method
A quality detection method and feature matching technology, which is applied in character and pattern recognition, image analysis, image enhancement, etc., can solve the problems of general complex object detection ability to be strengthened, failure to achieve good results, single application object characteristics, etc., to achieve Eliminate contour false defects, prevent false alarms, and have good real-time performance
Active Publication Date: 2022-04-22
XI AN JIAOTONG UNIV
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Problems solved by technology
[0005] 1) The algorithm is too complicated and the detection takes a long time, so it is not suitable for the factory to apply to the production line for detection;
[0006] 2) The characteristics of the application object are relatively single, and the versatility of the method and the ability to detect complex objects need to be strengthened
Good results cannot be achieved by using previous classical methods
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[0089] The present invention provides a battery silk screen quality detection method based on ORB feature matching and LK optical flow method. First, the preprocessing stage is carried out: the original image collected by the camera contains a lot of background interference and noise, and the degree of inclination is different. Therefore, it is necessary to perform cropping correction, affine transformation, and grayscale correction at this stage; then the template matching stage: based on the ORB algorithm, the features of the template silkscreen and the silkscreen to be tested are extracted and matched to realize the positioning of the silkscreen content; the final defect Separation and extraction stage: In this stage, the difference image method based on morphology is used for preliminary detection, and the distortion correction detection method based on L-K optical flow method is used for the secondary detection of silk screens with irregular distortion.
[0090] see figur...
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The invention discloses a battery silk screen quality detection method based on ORB feature matching and LK optical flow method, which collects battery silk screen image data, performs preprocessing to extract the battery silk screen area; adopts a rectangular block method for modeling, including illustration part templates And the template of the text part, based on the ORB algorithm to extract and match the features of the template silk screen and the silk screen to be tested, to realize the positioning of the silk screen content; based on the morphology of the image difference method for detection, if there is a false alarm, use the L-K optical flow based The distortion correction detection method of the method is used for secondary detection; if there is no false alarm, the resulting image and detection data are output, and the sorting operation is performed. The invention has good real-time performance and high detection rate. By improving the traditional difference image method and introducing the optical flow method into the field of printing defect detection, the adaptability and detection rate to inaccurate printing are greatly improved.
Description
technical field [0001] The invention belongs to the technical field of machine vision automatic surface detection, and in particular relates to a battery silk screen quality detection method based on ORB feature matching and LK optical flow method. Background technique [0002] Detecting the silk screen / barcode of the battery is an important step in the battery assembly process. Different types of batteries have differences in character types (Chinese characters, Korean, English, numbers, etc.), character formats, illustration content, and barcode formats. At present, battery silk screen / barcode is affected by fixtures, equipment, personnel and other related factors to cause printing defects. The types of silk screen / barcode defects are mainly divided into: barcode defect / distortion / skew / fuzzy / ghosting / dirty / chromatic aberration, silk screen defect / skew / Fuzzy / ghosting / dirty / chromatic aberration, mismatch between silkscreen and barcode information, barcode size and barcode / s...
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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/194G06T7/269G06K9/62G06T5/00G06T5/30G06V10/75
CPCG06T7/0008G06T7/11G06T7/136G06T7/194G06T7/269G06T5/30G06T2207/10016G06T2207/30108G06V10/757G06T5/80
Inventor 李兵张少杰赵卓刘桐坤高飞陈磊
Owner XI AN JIAOTONG UNIV