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

Author

Suksmono, Andriyan B. ; Handayani, Astri ; Hirose, Akira

Author_Institution

Inst. Teknologi Bandung, Bandung

fYear

0

fDate

0-0 0

Firstpage

481

Lastpage

485

Abstract

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.

Keywords

edge detection; gradient methods; object detection; boundary object detection; gradient vector field; modulo-2pi field; modulo-2pi gradient estimation; phase domain; phase images; snake dynamics; unwrapped phase; Image converters; Image edge detection; Image processing; Image segmentation; Magnetic resonance imaging; Minimization methods; Object detection; Phase detection; Spline; Synthetic aperture radar interferometry; InSAR; MRI; energy minimization algorithm; gradient vector flow; modulo-2 regularization; phase image; phase unwrapping; snake algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2006. IJCNN '06. International Joint Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-9490-9

Type

conf

DOI

10.1109/IJCNN.2006.246720

Filename

1716131