Ubuchwepheshe obubalulekile beyunithi yokucubungula isignali kumakhamera wesithombe esishisayo

Ama-algorithms okucubungula isignali yedijithali angobunye ubuchwepheshe obuyisisekelo beyunithi yokucubungula isignali. Ama-algorithms avamile ahlanganisa i-Fast Fourier Transform (FFT) kanye nokuguqulwa kwe-wavelet, njll. I-FFT ingaguqula amasignali esizinda sesikhathi abe amasignali esizinda, esilungele ukuhlaziya izingxenye zemvamisa yamasignali futhi idlala indima ebalulekile ekususeni umsindo nasekukhishweni kwesici sesignali; ukuguqulwa kwe-wavelet kunezici zokuhlaziywa kokulungiswa okuningi futhi kungahlaziya amasignali ezikalini ezihlukene, okusebenza ngempumelelo kakhulu ekucubunguleni amasignali angamile futhi kunomthelela obalulekile ekukhishweni kwesici semininingwane nesithombe kumasignali wokucabanga okushisa.

Ngokuthuthukiswa kobuchwepheshe bobuhlakani bokwenziwa, ama-algorithms enethiwekhi ye-neural aya ngokuya asetshenziswa kakhulu ekucubunguleni isignali yesithombe esishisayo. I-Convolution Neural Networks (CNN) ingafunda ngokuzenzakalela amaphethini wesici ezithombeni ezishisayo futhi izuze imisebenzi efana nokuhlukaniswa kwesithombe, ukutholwa kwento, nokubonwa okudidayo kwezinga lokushisa. Ekutholeni okokusebenza kwezimboni, i-CNN ingahlulela ngokushesha nangokunembile ukuthi okokusebenza kunamaphutha kanye nohlobo lwamaphutha ngokufunda izici zokuthwebula ezishisayo zemishini evamile nengalungile ithuthukisa kakhulu ukusebenza kahle nokunemba kokutholwa.

Ezimeni eziningi zohlelo lokusebenza lokuthwebula izithombe ezishisayo, njengokuqapha ukuphepha nokushayela ukuzimela, izidingo zesikhathi sangempela zokucubungula isignali ziphezulu kakhulu. Iyunithi yokucubungula isignali idinga ukusebenzisa amaphrosesa anesivinini esiphezulu kanye nezakhiwo ze-algorithm ezithuthukisiwe ukuze kuqinisekiswe ukuthi inani elikhulu lemisebenzi yokucubungula isignali ingaqedwa isikhathi esifushane, kuzuzwe umphumela wesikhathi sangempela wezithombe zokuthwebula ezishisayo. Ubuchwepheshe bekhompiyutha obuhambisanayo busetshenziselwa ukucubungula izingxenye ezihlukene zesignali ngesikhathi esisodwa nama-processor cores amaningi, kukhuphuke isivinini sokucubungula; inqubo ye-algorithm ilungiselelwe ukunciphisa izinyathelo zokubala ezingadingekile futhi ithuthukise ukusebenza kahle kokwenziwa kwe-algorithm.

Iyunithi yokucubungula isignali yesithombe esishisayo ikhamera amasignali aluhlaza aqoqwe inzwa ye-infrared ezithombeni zekhwalithi ephezulu zokucabanga ezishisayo kanye nolwazi olunembile lokushisa ngochungechunge lwezinqubo eziyinkimbinkimbi nezicophelelayo zokucubungula kanye nobuchwepheshe obuthuthukisiwe, obuhlinzeka ngokusekela ukusetshenziswa okubanzi kobuchwepheshe bokuthwebula okushisayo emikhakheni eminingi efana nezimboni, ezokuphepha, ezokwelashwa, kanye nocwaningo lwesayensi. Ngokuthuthuka okuqhubekayo kobuchwepheshe, imisebenzi yokusebenza yeyunithi yokucubungula isignali izoqhubeka nokuba ngcono, ithuthukise ubuchwepheshe bezithombe ezishisayo ezingeni eliphezulu lokuthuthuka.