中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Iterative voting for inference of structural saliency and characterization of subcellular events

文献类型:期刊论文

作者Parvin, Bahram; Yang, Qing; Han, Ju; Chang, Hang; Rydberg, Bjorn; Barcellos-Hoff, Mary Helen
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2007-03-01
卷号16期号:3页码:615-623
关键词foci detection geometric voting iterative voting segmentation subcellular localization
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]PERCEPTUAL ORGANIZATION ; SEGMENTATION ; TRANSFORM ; IMAGES
收录类别SCI
语种英语
WOS记录号WOS:000244311100003
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9398]  
专题自动化研究所_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
推荐引用方式
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.

入库方式: OAI收割

来源:自动化研究所

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