Nested random phase sequence sets: a link between AM-FM demodulation and increasing operators with application to cardiac image analysis

R.V. Paul, M. Pattichis
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引用次数: 3

Abstract

AM-FM models images as a linear combination of positive amplitude modulated (AM) sinusoids with non-linear phase functions. We develop a novel FM harmonics operator for revealing different levels of image structure detail. The new operator is defined in terms of known AM-FM demodulation techniques: dominant component analysis and channelized component analysis. We also show an example of image segmentation, where the new operator is used for tracking cardiac wall boundaries in motion-mode (M-mode) ultrasound video.
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嵌套随机相序列集:AM-FM解调和增加算子之间的联系,应用于心脏图像分析
AM- fm将图像建模为具有非线性相位函数的正调幅(AM)正弦波的线性组合。我们开发了一种新的调频谐波算子来揭示不同层次的图像结构细节。新的操作符是根据已知的AM-FM解调技术定义的:主导分量分析和信道化分量分析。我们还展示了一个图像分割的例子,其中新的算子用于跟踪运动模式(m模式)超声视频中的心壁边界。
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