DocumentCode :
2681062
Title :
A Tracking Algorithm Based on Fractional Differential Gradient within 3D Image
Author :
Yu, Ma ; Yanning, Zhang ; Huiling, Liang ; Shuang, Xu ; Ting, Yu
Author_Institution :
Inst. of Comput. Sci., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2012
fDate :
28-30 May 2012
Firstpage :
696
Lastpage :
699
Abstract :
Based on fractional derivative gradient, tracking operator is proposed to extract three-dimensional boundary surface within biomedical image. Firstly, the gradient and zero-crossing are calculated via the integer order derivative to extract the main structure of three-dimensional boundary surface. Then the slice images are enhanced by fractional differential, based on coplanar principle, the detailed subtle structures are tracked in three-dimensional images. The experimental result indicates that the method can track more detailed subtle three-dimensional structures. The improved tracking algorithm illustrates a good prospect of application and extension to other 3D biomedical image analyses and researches by comparing with the traditional boundary surface tracking algorithm.
Keywords :
gradient methods; image enhancement; medical image processing; target tracking; 3D biomedical image analyses; boundary surface tracking algorithm; coplanar principle; fractional differential gradient; integer order derivative; slice image enhancement; three-dimensional boundary surface extraction; three-dimensional structures; tracking operator; zero-crossing; Algorithm design and analysis; Biomedical imaging; Data mining; Data visualization; Educational institutions; Image edge detection; Rendering (computer graphics); 3D; biomedical image; edge surface tracking algorithm; fractional derivative; image enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on
Conference_Location :
Macau, Macao
Print_ISBN :
978-1-4577-1987-5
Type :
conf
DOI :
10.1109/iCBEB.2012.44
Filename :
6245214
Link To Document :
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