Vehicle door appearance detection method based on machine vision
The invention provides a vehicle door appearance detection method based on machine vision, and belongs to the field of appearance detection methods, and the method comprises the steps: copying a filtered vehicle door welding appearance image, and setting the images before and after copying as an ima...
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| creator | LIU YUHUANG WU YUHAN |
| description | The invention provides a vehicle door appearance detection method based on machine vision, and belongs to the field of appearance detection methods, and the method comprises the steps: copying a filtered vehicle door welding appearance image, and setting the images before and after copying as an image 1 and an image 2; zooming the image 1, inputting the zoomed image 1 into a neural network A, outputting an image defect confidence coefficient, comparing the image defect confidence coefficient with a set threshold value A, counting and marking welding defects, and grading the welding defects to obtain a welding defect grading result; and performing color channel conversion on the image 2, performing segmentation to obtain image blocks, extracting welding area features, normalizing the welding area features into color features, inputting the color features into a neural network B, outputting an image non-welding probability, comparing the image non-welding probability with a set threshold B, performing statistic |
| format | Patent |
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zooming the image 1, inputting the zoomed image 1 into a neural network A, outputting an image defect confidence coefficient, comparing the image defect confidence coefficient with a set threshold value A, counting and marking welding defects, and grading the welding defects to obtain a welding defect grading result; and performing color channel conversion on the image 2, performing segmentation to obtain image blocks, extracting welding area features, normalizing the welding area features into color features, inputting the color features into a neural network B, outputting an image non-welding probability, comparing the image non-welding probability with a set threshold B, performing statistic</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210409&DB=EPODOC&CC=CN&NR=112634236A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210409&DB=EPODOC&CC=CN&NR=112634236A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIU YUHUANG</creatorcontrib><creatorcontrib>WU YUHAN</creatorcontrib><title>Vehicle door appearance detection method based on machine vision</title><description>The invention provides a vehicle door appearance detection method based on machine vision, and belongs to the field of appearance detection methods, and the method comprises the steps: copying a filtered vehicle door welding appearance image, and setting the images before and after copying as an image 1 and an image 2; zooming the image 1, inputting the zoomed image 1 into a neural network A, outputting an image defect confidence coefficient, comparing the image defect confidence coefficient with a set threshold value A, counting and marking welding defects, and grading the welding defects to obtain a welding defect grading result; and performing color channel conversion on the image 2, performing segmentation to obtain image blocks, extracting welding area features, normalizing the welding area features into color features, inputting the color features into a neural network B, outputting an image non-welding probability, comparing the image non-welding probability with a set threshold B, performing statistic</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHAIS83ITM5JVUjJzy9SSCwoSE0sSsxLBvJTS1KTSzLz8xRyU0sy8lMUkhKLU1MUQPzE5IzMvFSFssxioDQPA2taYk5xKi-U5mZQdHMNcfbQTS3Ij08tLkhMTs1LLYl39jM0NDIzNjEyNnM0JkYNAL99MSw</recordid><startdate>20210409</startdate><enddate>20210409</enddate><creator>LIU YUHUANG</creator><creator>WU YUHAN</creator><scope>EVB</scope></search><sort><creationdate>20210409</creationdate><title>Vehicle door appearance detection method based on machine vision</title><author>LIU YUHUANG ; 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zooming the image 1, inputting the zoomed image 1 into a neural network A, outputting an image defect confidence coefficient, comparing the image defect confidence coefficient with a set threshold value A, counting and marking welding defects, and grading the welding defects to obtain a welding defect grading result; and performing color channel conversion on the image 2, performing segmentation to obtain image blocks, extracting welding area features, normalizing the welding area features into color features, inputting the color features into a neural network B, outputting an image non-welding probability, comparing the image non-welding probability with a set threshold B, performing statistic</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Vehicle door appearance detection method based on machine vision |
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