A wavelet-frame based image force model for active contouring algorithms

A wavelet-frame based image force model for active contouring algorithms

This paper proposes a directional image force (DIF) for active contouring. DIF is the inner product of the zero crossing strength (ZCS) of wavelet frame coefficients, and the normal of a snake, by representing strength and orientation of edges at multiple resolution levels. DIF markedly improves the...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing 2000-11, Vol.9 (11), p.1983-1988
Hauptverfasser: Hsien-Hsun Wu, Jyh-Charn Liu, Chui, C.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Applied sciences
Artificial intelligence
Computer science
Computer science
control theory
systems
Contouring
Discrete wavelet transforms
Exact sciences and technology
Frames
Image edge detection
Image force
Image processing
Image segmentation
Information, signal and communications theory
Noise level
Noise shaping
Orientation
Pattern recognition. Digital image processing. Computational geometry
Pixel
Polarization
Shape control
Signal processing
Snakes
Strength
Telecommunications and information theory
Zero current switching
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper proposes a directional image force (DIF) for active contouring. DIF is the inner product of the zero crossing strength (ZCS) of wavelet frame coefficients, and the normal of a snake, by representing strength and orientation of edges at multiple resolution levels. DIF markedly improves the immunity of snakes to noise and convexity.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.877221