Snake in Phase Domain: A Method for Boundary Detection of Objects in Phase Images

Snake in Phase Domain: A Method for Boundary Detection of Objects in Phase Images

This paper presents a snake algorithm for boundary detection of objects in phase images. Since phase image is a modulo-2pi field, the proper gradient vector field (GVF) for snake dynamics should be taken from an unwrapped phase. This paper proposes a procedure to avoid such unwrapping by applying mo...

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Hauptverfasser: Suksmono, A.B., Handayani, A., Hirose, A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
energy minimization algorithm
gradient vector flow
Image converters
Image edge detection
Image processing
Image segmentation
InSAR
Magnetic resonance imaging
Minimization methods
modulo-2 regularization
MRI
Object detection
Phase detection
phase image
phase unwrapping
snake algorithm
Spline
Synthetic aperture radar interferometry
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Beschreibung
Zusammenfassung:This paper presents a snake algorithm for boundary detection of objects in phase images. Since phase image is a modulo-2pi field, the proper gradient vector field (GVF) for snake dynamics should be taken from an unwrapped phase. This paper proposes a procedure to avoid such unwrapping by applying modulo-2pi gradient estimation. Performance assessment is conducted by comparing a boundary detection result of non-modulo-2pi GVF snake estimate with a modulo-2pi regularized GVF snake. It is shown that the proposed method converges to the expected boundary, while the non-regularized procedure does not.
ISSN:2161-4393
2161-4407
DOI:10.1109/IJCNN.2006.246720