Parvin Bahram, Yang Qing, Han Ju, Chang Hang, Rydberg Bjorn, Barcellos-Hoff Mary Helen
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
IEEE Trans Image Process. 2007 Mar;16(3):615-23. doi: 10.1109/tip.2007.891154.
Saliency is an important perceptual cue that occurs at different levels of resolution. Important attributes of saliency are symmetry, continuity, and closure. Detection of these attributes is often hindered by noise, variation in scale, and incomplete information. This paper introduces the iterative voting method, which uses oriented kernels for inferring saliency as it relates to symmetry. A unique aspect of the technique is the kernel topography, which is refined and reoriented iteratively. The technique can cluster and group nonconvex perceptual circular symmetries along the radial line of an object's shape. It has an excellent noise immunity and is shown to be tolerant to perturbation in scale. The application of this technique to images obtained through various modes of microscopy is demonstrated. Furthermore, as a case example, the method has been applied to quantify kinetics of nuclear foci formation that are formed by phosphorylation of histone gammaH2AX following ionizing radiation. Iterative voting has been implemented in both 2-D and 3-D for multi image analysis.
显著性是一种重要的感知线索，它出现在不同的分辨率水平上。显著性的重要属性包括对称性、连续性和闭合性。这些属性的检测常常受到噪声、尺度变化和信息不完整的阻碍。本文介绍了迭代投票方法，该方法使用定向核来推断与对称性相关的显著性。该技术的一个独特之处在于核拓扑结构，它会被迭代地细化和重新定向。该技术可以沿着物体形状的径向线对非凸感知圆形对称性进行聚类和分组。它具有出色的抗噪声能力，并且被证明对尺度扰动具有耐受性。展示了该技术在通过各种显微镜模式获得的图像上的应用。此外，作为一个案例，该方法已被应用于量化电离辐射后由组蛋白γH2AX磷酸化形成的核灶形成动力学。迭代投票已在二维和三维中实现，用于多图像分析。
