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![]() |
刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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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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