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 :
بازگشت