Iterative voting for inference of structural saliency and characterization of subcellular events

CASIA OpenIR > 09年以前成果

	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
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2007-03-01
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：125[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
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.