Tongue Image Texture Segmentation Based on Gabor Filter Plus Normalized Cut

被引：0

作者：

Li, Jianfeng ^{[1
]}

Shi, Jinhuan ^{[2
]}

Zhang, Hongzhi ^{[1
]}

Li, Yanlai ^{[1
]}

Li, Naimin ^{[3
]}

Liu, Changming ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150006, Peoples R China

[2] Second Artillery PLA, Gen Hosp, Beijing, Peoples R China

[3] 211 Hosp PLA, Harbin, Peoples R China

来源：

MEDICAL BIOMETRICS, PROCEEDINGS | 2010年 / 6165卷

关键词：

Tongue diagnosis; Texture Segmentation; Gabor Filter; Normalized Cut;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Texture information of tongue image is one of the most important pathological features utilized in practical Tongue Diagnosis because it can reveal the severeness and change tendency of the illness. A texture segmentation method based on Gabor filter plus Normalized Cut is proposed in this paper. This method synthesizes the information of location, color and texture feature to be the weight for Normalized Cut, thus can make satisfactroy segmentation according to texture of tongue image. The experiments show that the overall rate of correctness for this method exceeds 81%.

引用

页码：115 / +

页数：3

共 8 条

[1] Normalized cuts in 3-D for spinal MRI segmentation [J].

Carballido-Gamio, J ;

Belongie, SJ ;

Majumdar, S .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2004, 23 (01) :36-44

[2] FUNGIFORM PAPILLAE HYPERPLASIA (FPH) IDENTIFICATION BY TONGUE TEXTURE ANALYSIS [J].

Huang, Bo ;

Li, Naimin .

INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2009, 9 (03) :479-494

[3]

Li N., 1994, HDB CHINESE TONGUE D, P1315

[4]

PANG B, 2000, P ICIG 2000 TIANJ

[5] Normalized cuts and image segmentation [J].

Shi, JB ;

Malik, J .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2000, 22 (08) :888-905

[6] Normalized cuts and image segmentation [J].

Shi, JB ;

Malik, J .

1997 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1997, :731-737

[7]

YUEN PC, 1999, SERIES MACHINE PERCE, V40, P179

[8]

Zhang D., 2000, Automated biometrics: Technologies and systems

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