Linked Life Data

18610638

Source:http://linkedlifedata.com/resource/pubmed/id/18610638

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-7-9
pubmed:abstractText
To study the cleavage of neuron stem cells in time lapse image sequences and realize their features abstraction, identification and tracking, a precise segmentation algorithm that can preserve the shape of division cells is presented in this paper. The fuzzy threshold segmentation is based on Zadth's maximum entropy. The optimal parameters of the maximum fuzzy entropy are decided by genetic algorithm. Region merging and splitting of the under-segmentation objects of the result of fuzzy segmentation are realized by weighted distance transform, region labeling and some operations on morphology. By comparison with some results of fuzzy and hard segmentation, this algorithm can implement the precise segmentation that is necessary for some specified objects in automatic identification and tracking of neuron stem cells.
pubmed:language
chi
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1001-5515
pubmed:author
pubmed:issnType
Print
pubmed:volume
25
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
439-44
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
[Precise segmentation of cleavage of the neuron stem cells in time lapse image sequences].
pubmed:affiliation
School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China. tangchunming@hrbeu.edu.cn
pubmed:publicationType
Journal Article, English Abstract