Xie Jun, Heng Pheng-Ann, Shah Mubarak
School of Computer Science, University of Central Florida, Orlando, FL 32816, USA.
IEEE Trans Inf Technol Biomed. 2008 Nov;12(6):768-71. doi: 10.1109/TITB.2008.926462.
Image diffusion can smooth away noise and small-scale structures while retaining important features, thus improving the performances for many image processing algorithms. In this paper, we present a novel diffusion algorithm for which the filtering kernels vary according to the perceptual saliency of boundaries. The effectiveness of the proposed approach is validated by experiments on various medical images.
图像扩散可以消除噪声和小尺度结构,同时保留重要特征,从而提高许多图像处理算法的性能。在本文中,我们提出了一种新颖的扩散算法,其滤波核根据边界的感知显著性而变化。通过对各种医学图像进行实验,验证了所提方法的有效性。