Asghari Mohammad H, Jalali Bahram
Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA ; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA ; Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Int J Biomed Imaging. 2015;2015:687819. doi: 10.1155/2015/687819. Epub 2015 Mar 23.
We describe a new computational approach to edge detection and its application to biomedical images. Our digital algorithm transforms the image by emulating the propagation of light through a physical medium with specific warped diffractive property. We show that the output phase of the transform reveals transitions in image intensity and can be used for edge detection.
我们描述了一种用于边缘检测的新计算方法及其在生物医学图像中的应用。我们的数字算法通过模拟光在具有特定扭曲衍射特性的物理介质中的传播来变换图像。我们表明，变换的输出相位揭示了图像强度的变化，可用于边缘检测。
