Image depth determination method and device and nonvolatile storage medium
The embodiment of the invention discloses an image depth determination method and device and a nonvolatile storage medium. The image depth determination method comprises the steps that a target real image is acquired, and the target real image is a physiological channel image acquired in a physiolog...
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| creator | LIU RUNNAN CHEN RIQING KUANG BENFA LI NANYU XU HONG MO SONGTAO SU CHENHUI |
| description | The embodiment of the invention discloses an image depth determination method and device and a nonvolatile storage medium. The image depth determination method comprises the steps that a target real image is acquired, and the target real image is a physiological channel image acquired in a physiological channel; obtaining a first brightness component image of the target real image; processing the first brightness component image by using a brightness adjustment network to obtain a target modal image corresponding to the target real image; a depth estimation model is adopted to process the target modal image, a depth image corresponding to the target modal image and the target real image is determined, the depth estimation model is a model obtained through training according to a virtual modal image set corresponding to the multiple virtual images and a depth image set, and the depth image set is a depth image set corresponding to the multiple virtual images; the virtual image is an image collected in a physio |
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The image depth determination method comprises the steps that a target real image is acquired, and the target real image is a physiological channel image acquired in a physiological channel; obtaining a first brightness component image of the target real image; processing the first brightness component image by using a brightness adjustment network to obtain a target modal image corresponding to the target real image; a depth estimation model is adopted to process the target modal image, a depth image corresponding to the target modal image and the target real image is determined, the depth estimation model is a model obtained through training according to a virtual modal image set corresponding to the multiple virtual images and a depth image set, and the depth image set is a depth image set corresponding to the multiple virtual images; the virtual image is an image collected in a physio</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2024</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=20240405&DB=EPODOC&CC=CN&NR=117830367A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240405&DB=EPODOC&CC=CN&NR=117830367A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIU RUNNAN</creatorcontrib><creatorcontrib>CHEN RIQING</creatorcontrib><creatorcontrib>KUANG BENFA</creatorcontrib><creatorcontrib>LI NANYU</creatorcontrib><creatorcontrib>XU HONG</creatorcontrib><creatorcontrib>MO SONGTAO</creatorcontrib><creatorcontrib>SU CHENHUI</creatorcontrib><title>Image depth determination method and device and nonvolatile storage medium</title><description>The embodiment of the invention discloses an image depth determination method and device and a nonvolatile storage medium. 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The image depth determination method comprises the steps that a target real image is acquired, and the target real image is a physiological channel image acquired in a physiological channel; obtaining a first brightness component image of the target real image; processing the first brightness component image by using a brightness adjustment network to obtain a target modal image corresponding to the target real image; a depth estimation model is adopted to process the target modal image, a depth image corresponding to the target modal image and the target real image is determined, the depth estimation model is a model obtained through training according to a virtual modal image set corresponding to the multiple virtual images and a depth image set, and the depth image set is a depth image set corresponding to the multiple virtual images; the virtual image is an image collected in a physio</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Image depth determination method and device and nonvolatile storage medium |
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