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
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
2007-03-01
Volume16Issue:3Pages:615-623
SubtypeArticle
AbstractSaliency 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.
KeywordFoci Detection Geometric Voting Iterative Voting Segmentation Subcellular Localization
WOS HeadingsScience & Technology ; Technology
WOS KeywordPERCEPTUAL ORGANIZATION ; SEGMENTATION ; TRANSFORM ; IMAGES
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000244311100003
Citation statistics
Cited Times:105[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9398
Collection09年以前成果
Affiliation1.Lawrence Berkeley Lab, Berkeley, CA 94720 USA
2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Parvin, Bahram]'s Articles
[Yang, Qing]'s Articles
[Han, Ju]'s Articles
Baidu academic
Similar articles in Baidu academic
[Parvin, Bahram]'s Articles
[Yang, Qing]'s Articles
[Han, Ju]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Parvin, Bahram]'s Articles
[Yang, Qing]'s Articles
[Han, Ju]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.