Fiber image highlight detection and elimination method based on hyperspectral imaging

The invention discloses a fiber image highlight detection and elimination method based on hyperspectral imaging. The method comprises the steps of detecting a highlight region of a hyperspectral image based on a local space brightness difference method, and outputting a result as a constraint condit...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: QIU KEBIN, CHEN WEIGUO
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The invention discloses a fiber image highlight detection and elimination method based on hyperspectral imaging. The method comprises the steps of detecting a highlight region of a hyperspectral image based on a local space brightness difference method, and outputting a result as a constraint condition of highlight elimination; then, separating the mixed spectrum of the highlight region into a specular reflection component, a diffuse reflection component and a Gaussian noise component through repeated iteration separation based on an approximate sparse representation method of highlight constraint, and finally reserving the diffuse reflection component and using for replacing a mixed spectrum signal of the highlight region of the preprocessed hyperspectral image to obtain a hyperspectral image without highlights, eliminating the influence of highlight, and restoring spectral information, influenced by specular reflection, in the hyperspectral image. The method not only improves the highlight elimination effec