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

共 50 条

[21] A New Medical Image Edge Detection Algorithm Based on BC-ACO [J].

Zhang, Jingyu ;

Teng, Jianfu ;

Bai, Yu .

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2017, 31 (03)

[22] IMAGE ANALYSIS BASED ON EDGE DETECTION TECHNIQUES [J].

纳瑟 ;

刘重庆 .

JournalofShanghaiJiaotongUniversity, 2002, (02) :198-203

[23] A Mixed Edge Based Text Detection Method by Applying Image Complexity Analysis [J].

Li, Minhua ;

Bai, Meng .

PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, :4809-4814

[24] Edge detection of optical subaperture image based on improved differential box-counting method [J].

Li, Yi ;

Hui, Mei ;

Liu, Ming ;

Dong, Liquan ;

Kong, Lingqin ;

Zhao, Yuejin .

2017 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC IMAGING/SPECTROSCOPY AND SIGNAL PROCESSING TECHNOLOGY, 2017, 10620

[25] A Fractional-order Edge Detection Operator for Medical Image Structure Feature Extraction [J].

Tian, Dan ;

Wu, Jingfei ;

Yang, Yajie .

26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, :5173-5176

[26] Edge Detection of Ultrasonic Medical Image Based on Mathematical Morphology [J].

LIU Qi WANG Tianfu ZHENG Changqiong LI Deyu ZHENG Yi Biomedical Engineering Center Sichuan University Chengdu China Department of Electrical Engineering St Cloud State University USA .

计算机工程, 2002, (S1) :160-164

[27] Image Enhancement Method Based on Wavelet and Adaptive Fractional Differential [J].

Wang, Yizheng ;

Liu, Li .

PROCEEDINGS OF 2017 6TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2017), 2017, :467-471

[28] Efficient method of image edge detection based on FSVM [J].

Cai Aiping ;

Xiong Xiaomei .

FIFTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2013), 2013, 8878

[29] AN IMAGE EDGE DETECTION METHOD BASED ON MATHEMATICAL MORPHOLOGY [J].

Ji Xiaoping ;

Zhang Haibin ;

Zhang Dazhi ;

Wu Boying .

PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON MULTIMEDIA TECHNOLOGY (ICMT-13), 2013, 84 :181-190

[30] Image Feature Fusion Method Based on Edge Detection [J].

Li, Feng ;

Du, Xuehui ;

Zhang, Liu ;

Liu, Aodi .

INFORMATION TECHNOLOGY AND CONTROL, 2023, 52 (01) :5-24

← 1 2 3 4 5 →