Indexed by:
Abstract:
Image segmentation and image denoising are two important and fundamental topics in the field of image processing. Geometric active contour model based on level set method can deal with the problem of image segmentation, but it does not consider the problem of image denoising. In this paper, a new diffusion equation model for noisy image segmentation is proposed by incorporating some classical diffusion equation denoising models into the segmental process. An assumption about the connection between the image intensity and level set function is given firstly. Some classical denoising models are employed to describe the evolution of level set function secondly. The final nonlinear diffusion equation model for noisy image segmentation is built thirdly. Then image segmentation and image denoising are combined in a united framework. The segmental results can be presented by level set function. Experimental results show that the newmodel has the advantage of noise resistance and is superior to traditional segmentation model.
Keyword:
Reprint 's Address:
Email:
Version:
Source :
ADVANCES IN MATHEMATICAL PHYSICS
ISSN: 1687-9120
Year: 2016
Volume: 2016
0 . 6 4 3
JCR@2016
1 . 0 0 0
JCR@2023
ESI Discipline: PHYSICS;
ESI HC Threshold:186
JCR Journal Grade:4
CAS Journal Grade:4
Cited Count:
WoS CC Cited Count: 3
SCOPUS Cited Count: 3
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 3
Affiliated Colleges: