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Iterative voting for inference of structural saliency and characterization of subcellular events
Parvin, Bahram; Yang, Qing; Han, Ju; Chang, Hang; Rydberg, Bjorn; Barcellos-Hoff, Mary Helen
2007-03-01
发表期刊IEEE TRANSACTIONS ON IMAGE PROCESSING
卷号16期号:3页码:615-623
文章类型Article
摘要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 gamma H2AX following ionizing radiation. Iterative voting has been implemented in both 2-D and 3-D for multi image analysis.
关键词Foci Detection Geometric Voting Iterative Voting Segmentation Subcellular Localization
WOS标题词Science & Technology ; Technology
关键词[WOS]PERCEPTUAL ORGANIZATION ; SEGMENTATION ; TRANSFORM ; IMAGES
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000244311100003
引用统计
被引频次:100[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9398
专题09年以前成果
作者单位1.Lawrence Berkeley Lab, Berkeley, CA 94720 USA
2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
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GB/T 7714
Parvin, Bahram,Yang, Qing,Han, Ju,et al. Iterative voting for inference of structural saliency and characterization of subcellular events[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2007,16(3):615-623.
APA Parvin, Bahram,Yang, Qing,Han, Ju,Chang, Hang,Rydberg, Bjorn,&Barcellos-Hoff, Mary Helen.(2007).Iterative voting for inference of structural saliency and characterization of subcellular events.IEEE TRANSACTIONS ON IMAGE PROCESSING,16(3),615-623.
MLA Parvin, Bahram,et al."Iterative voting for inference of structural saliency and characterization of subcellular events".IEEE TRANSACTIONS ON IMAGE PROCESSING 16.3(2007):615-623.
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