Medical Image Edge Detection Analysis Method Based On Fractional Differential

被引：4

作者：

Li, Mingjing ^{[1
]}

Dong, Yubing ^{[1
]}

Wang, Xiaoli ^{[1
]}

机构：

[1] Changchun Univ, Coll Elect & Informat Engn, Changchun 130022, Peoples R China

来源：

ENERGY DEVELOPMENT, PTS 1-4 | 2014年 / 860-863卷

关键词：

Edge detection; Fractional differential; Medical image; Noise;

D O I：

10.4028/www.scientific.net/AMR.860-863.2859

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Edge detection acts a vital part in the region of medical images. The detection results influence doctors' estimate. Extracting the edges using the differential operator is a common way. Fractional differential operator acts better than traditional first order and second order differential operator. We proposed a new edge detection method based on the classical G-L definition. Experiments show that our new fractional differential method can not only effectively extract the edges of medical images but also restrain the noise well.

引用

页码：2859 / +

页数：3

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