DocumentCode
2146590
Title
Laplacian Operator Based Level Set Segmentation Algorithm for Medical Images
Author
Huang, Hui ; Jiang, Jionghui
Author_Institution
Coll. of Phys. & Electron. Inf. Eng., Wenzhou Univ., Wenzhou, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
5
Abstract
Considering the features of virtual human images, a Laplacian operator based level set algorithm and the analytic expression of level set equation is deduced. The algorithm is implemented using narrow band method numerically. The algorithm combines the advantages of Laplacian operator which can orient the boundary accurately and the idea that level set method continuously evolves the boundary in image space. Experiments show that the algorithm calculates the result precisely with good anti-jamming property and fast computing speed. Fine results can be obtained by using this algorithm.
Keywords
image segmentation; medical image processing; set theory; Laplacian operator; level set equation; level set segmentation algorithm; medical images; narrow band method; virtual human images; Biomedical imaging; Data mining; Deformable models; Educational institutions; Humans; Image reconstruction; Image segmentation; Laplace equations; Level set; Medical diagnostic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5303765
Filename
5303765
Link To Document