Tree Image Growth Analysis Using Instantaneous Phase Modulation
Tree Image Growth Analysis Using Instantaneous Phase Modulation
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DOI：
10.1155/2011/586865
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发表时间：
2011-01-01
影响因子：
1.9
通讯作者：
Baba, Justin S.
中科院分区：
文献类型：
--
作者：
Ramachandran, Janakiramanan;Pattichis, Marios S.;Baba, Justin S.
我们建议使用调幅调频（AM-FM）方法进行树木生长分析。树木生长建模使用相位调制。为了适应不同的图像的AM-FM方法，我们介绍了使用快速滤波器组滤波器系数计算的基础上分段线性多项式和径向频率幅度估计使用基于整数的Savitzky-Golay滤波器的导数估计。对于广泛的图像，使用仅具有4通道滤波器的简单滤波器组设计。滤波器组规格基于两种不同的方法。对于每个输入图像，使用主导分量分析来估计FM图像。建立了一个树木生长模型，利用瞬时相位描述树木的季度和半季度生长。对20幅白杨图像和12幅不同类型的树木图像进行了内部和内部重建的定性评价。定性评分表明，大多数结果的质量为良好至优秀（两个数据库分别为4.4/5.0和4.0/5.0）。
We propose the use of Amplitude-Modulation Frequency-Modulation (AM-FM) methods for tree growth analysis. Tree growth is modeled using phase modulation. For adapting AM-FM methods to different images, we introduce the use of fast filterbank filter coefficient computation based on piecewise linear polynomials and radial frequency magnitude estimation using integer-based Savitzky-Golay filters for derivative estimation. For a wide range of images, a simple filterbank design with only 4 channel filters is used. Filterbank specification is based on two different methods. For each input image, the FM image is estimated using dominant component analysis. A tree growth model is developed to characterize and depict quarterly and half-seasonal growth of trees using instantaneous phase. Qualitative evaluation of inter- and intraring reconstruction is performed on 20 aspen images and a mixture of 12 tree images of various types. Qualitative scores indicate that the results were mostly of good to excellent quality (4.4/5.0 and 4.0/5.0 for the two databases, resp.).