منابع مشابه
Edge preserving phase unwrapping using graph cuts
This paper addresses the problem of recovering the absolute phase from modulo-2π phase, the so-called phase unwrapping (PU) problem. PU is a key step in several imaging technologies, namely, interferometric synthetic aperture radar (InSAR), and interferometric synthetic aperture sonar (InSAS). There, the topographic information is encoded in the phase of a complex valued image with a (different...
متن کامل3D+time Left Ventricular Strain by Unwrapping Harmonic Phase with Graph Cuts
In previous work, a three-dimensional left ventricular strain throughout the cardiac cycle was reconstructed using a prolate spheroidal B-spline (PSB) method with displacement measurements obtained from unwrapped tagged MRI (tMRI) harmonic phase images. Manually placed branch cuts were required for each harmonic phase image to resolve phase inconsistencies and to guide the phase unwrapping (mSU...
متن کاملRegion Merging Via Graph-Cuts
In this paper, we discuss the use of graph-cuts to merge the regions of the watershed transform optimally. Watershed is a simple, intuitive and efficient way of segmenting an image. Unfortunately it presents a few limitations such as over-segmentation and poor detection of low boundaries. Our segmentation process merges regions of the watershed over-segmentation by minimizing a specific criteri...
متن کاملPUMA: Phase Unwrapping via MAx flows
Phase unwrapping is the inference of absolute phase from modulo-2π phase. This paper synthetically presents an energy minimization framework for phase unwrapping. The considered objective functions are first-order Markov random fields. We provide an exact energy minimization algorithm, whenever the corresponding clique potentials are convex, namely for the phase unwrapping classical L norm, wit...
متن کاملMulti-camera Scene Reconstruction via Graph Cuts
We address the problem of computing the 3-dimensional shape of an arbitrary scene from a set of images taken at known viewpoints. Multi-camera scene reconstruction is a natural generalization of the stereo matching problem. However, it is much more difficult than stereo, primarily due to the difficulty of reasoning about visibility. In this paper, we take an approach that has yielded excellent ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2007
ISSN: 1057-7149
DOI: 10.1109/tip.2006.888351