A multiphase segmentation method based on binary segmentation method for Gaussian noisy image

被引：10
|
作者：
Cigaroudy, Ladan Sharafyan [1 ]
Aghazadeh, Nasser [1 ]
机构：
[1] Azarbaijan Shahid Madani Univ, Dept Appl Math, Image Proc Lab, Tabriz, Iran
来源：
SIGNAL IMAGE AND VIDEO PROCESSING | 2017年 / 11卷 / 05期
关键词：
Image segmentation; Multiphase; Eigenvector; Curvelet denoizing;
D O I：
10.1007/s11760-016-1028-9
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a new multiphase segmentation method is proposed, in which a binary segmentation method is used in an iterative process. At each time of iteration, the region of pixels with darker mean value of intensity is separated from other regions. This segmentation is done by means of intensity function, eigenvector of Hessian matrix, and Curvelet. Proper extraction of the pixels around and on the ridge in the Gaussian noisy image and simultaneous denoizing and segmentation are the advantages of the present method. Experimental results are provided for showing the efficiency of our method.
引用
收藏
页码：825 / 831
页数：7
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