http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112665618-B
Outgoing Links
Predicate | Object |
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classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01D5-26 |
filingDate | 2020-12-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2022-05-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2022-05-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-112665618-B |
titleOfInvention | Morphology-based wavelength sensitive mode extraction device and method |
abstract | The invention discloses a wavelength sensitive mode extraction device and method based on morphology. The device includes: the CCD image sensor is provided with a waveguide structure, a back focal plane imaging device and an optical filter which are arranged in sequence from top to bottom; after the waveguide structure is irradiated by laser or white light, emitted light signals are collected by a back focal plane imaging device and then are detected and collected by a CCD image sensor with a light filter, and image information is obtained through analysis; randomly setting an extraction direction; traversing and selecting all pixel points along the direction; selecting points to perform region growth and performing image segmentation processing; selecting information representing modes in the waveguide according to the judgment to obtain different mode segmentation patterns; calculating the position of the mass center of the obtained segmentation pattern to judge whether the segmentation pattern corresponds to a wavelength sensitive mode; and then screening to complete the extraction of the wavelength sensitive mode. The invention can simplify the manual judgment time, does not need hardware parameter reference, and realizes the automatic extraction of the wavelength sensitive mode information in the wavelength sensing application. |
priorityDate | 2020-12-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 15.