[Segmentation of the prostate ultrasound image based on an improved geodesic active contour model].
In this paper, we propose that, the need of the costly re-initialization procedure can be completely eliminated by using the variation formulation, thus increasing the speed of computing operations. The edge detecting function in the geodesic active contour model is improved by incorporating a prior knowledge. The accuracy of the segmentation algorithm can be enhanced by using the minimal variance. Experimental results show that the proposed algorithm can segment the prostate ultrasound images effectively and avoid the problem of contour leakage.
Yang
Zhen-sen
ZS
EEIS, University of Science and Technology of China, Hefei. yangzsj@mail.ustc.edu.cn
Li
Chuan-fu
CF
Zhou
Kang-yuan
KY
Zhang
Kai-hua
KH
He
Li
L
D000465:Algorithms; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods; D011467:Prostate / Q000000981:diagnostic imaging*; D014463:Ultrasonography / Q000295:instrumentation / Q000379:methods*