Colour texture classification for Human Tissue Images

被引：7
作者：
Jiji, G. Wiselin [1 ]
机构：
[1] Dr Sivanthi Aditanar Coll Engn, Dept Comp Sci & Engn, Tiruchendur 628215, Tamil Nadu, India
来源：
APPLIED SOFT COMPUTING | 2011年 / 11卷 / 02期
关键词：
Classification; Doppler; SOMs; MAGNETIC-RESONANCE IMAGES; LESIONS; CERVIX; BRAIN;
D O I：
10.1016/j.asoc.2010.05.001
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a promising automotive technique for the classification of colour human tumour and nontumour tissues. The proposed classification algorithm is based on texture feature colour fuzzy texture spectrum and two more features from colour Doppler spectra. SOMs classify the tissues, which got a classification accuracy of 99.92%. Compared with other works, our method achieves good classification results on colour texture images, demonstrating the performance of our proposal. (C) 2010 Elsevier B. V. All rights reserved.
引用
收藏
页码：1623 / 1630
页数：8
相关论文
共 29 条
[1]   Texture-based classification of atherosclerotic carotid plaques [J].
Christodoulou, CI ;
Pattichis, CS ;
Pantziaris, M ;
Nicolaides, A .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2003, 22 (07) :902-912
[2]  
CHRISTODOULOU CI, 1999, INT JOINT C NEUR NET, V5, P3591
[3]   MRI SEGMENTATION USING FUZZY CLUSTERING-TECHNIQUES [J].
CLARK, MC ;
HALL, LO ;
GOLDGOF, DB ;
CLARKE, LP ;
VELTHUIZEN, RP ;
SILBIGER, MS .
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 1994, 13 (05) :730-742
[4]  
Enderwick CY, 1997, P ANN INT IEEE EMBS, V19, P810, DOI 10.1109/IEMBS.1997.757772
[5]  
Esgiar A N, 1998, IEEE Trans Inf Technol Biomed, V2, P197, DOI 10.1109/4233.735785
[6]  
Ganesan L., 2007, INT J SOFT COMPUT, V2, P361
[7]  
GINNEKEN B, 2002, IEEE T MED IMAGING, V22, P924
[8]  
HILLMAN GR, 1995, PROC SPIE, V2434, P16, DOI 10.1117/12.208723
[9]  
HIMBERG J, 2001, PATTERN RECOGN, pCH1
[10]   Texture analysis for classification of cervix lesions [J].
Ji, Q ;
Engel, J ;
Craine, E .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2000, 19 (11) :1144-1149
123