DocumentCode :
557730
Title :
A new model and its application in segmentation and denoising of schistosoma eggs
Author :
Li, Zhengyu ; Yao, Zhengan ; Wu, Zhongdao ; Zhengyu Li
Author_Institution :
Dept. of Math. & Comput. Sci., Sun Yat-sen Univ., Guangzhou, China
Volume :
3
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1140
Lastpage :
1145
Abstract :
In this work, we propose a minimizing functional based on Mumford-Shah model, which provides a model for image segmentation and smoothing. The paper analyzes the physical characteristics of the related modified Poisson equation in local coordinates and explains that diffusion behavioral is superior to isotropic diffusion in essence. Thus our model is more suitable for segmentation and smoothing while simultaneously preserving edges than the piecewise smooth Mumford-Shah (PSMS) model on noisy images with intensity inhomogeneities. The model is finally applied on a wide variety of image segmentation and denoising of schistosoma eggs. All these results show that the proposed model is effective.
Keywords :
Poisson equation; biology computing; image denoising; image segmentation; medical image processing; Mumford-Shah model; Poisson equation; diffusion behavioral; image segmentation; image smoothing; isotropic diffusion; minimizing functional; schistosoma egg denoising; schistosoma egg segmentation; Image edge detection; Image segmentation; Level set; Mathematical model; Noise measurement; Numerical models; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100400
Filename :
6100400
Link To Document :
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