Nekouzadeh Ali, Genin Guy M
Department of Biomedical Engineering , Washington University in Saint Louis , Saint Louis, MO, USA.
Department of Mechanical, Aerospace and Structural Engineering , Washington University in Saint Louis , Saint Louis, MO, USA ; Center for Materials Innovation , Washington University in Saint Louis , Saint Louis, MO, USA.
Proc Math Phys Eng Sci. 2011 Aug 8;467(2132):2310-2329. doi: 10.1098/rspa.2010.0623. Epub 2011 Mar 9.
Quantification of changes in the total length of randomly oriented and possibly curved lines appearing in an image is a necessity in a wide variety of biological applications. Here, we present an automated approach based upon Fourier space analysis. Scaled, band-pass filtered power spectral densities of greyscale images are integrated to provide a quantitative measurement of the total length of lines of a particular range of thicknesses appearing in an image. A procedure is presented to correct for changes in image intensity. The method is most accurate for two-dimensional processes with fibres that do not occlude one another.
在众多生物学应用中，对图像中出现的随机取向且可能弯曲的线条总长度变化进行量化是必要的。在此，我们提出一种基于傅里叶空间分析的自动化方法。对灰度图像的缩放、带通滤波功率谱密度进行积分，以提供对图像中出现的特定厚度范围线条总长度的定量测量。提出了一种校正图像强度变化的程序。该方法对于纤维不相互遮挡的二维过程最为准确。
