Symmetry detection by generalized complex (GC) moments: A close-form solution

被引:79
作者
Shen, DG [1 ]
Ip, HHS
Cheung, KKT
Teoh, EK
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[2] City Univ Hong Kong, Dept Comp Sci, Image Comp Grp, Kowloon, Peoples R China
关键词
symmetry detection; reflectional and rotational symmetry; symmetric axis; generalized complex (GC) moments; fold number; fold axes; rotationally symmetric image; reflection-symmetric image;
D O I
10.1109/34.765657
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 unified method for detecting both reflection-symmetry and rotation-symmetry of 2D images based on an identical set of features, i.e., the first three nonzero generalized complex (GC) moments. This method is theoretically guaranteed to detect all the axes of symmetries of every 2D image, if more nonzero GC moments are used in the feature set. Furthermore, we establish the relationship between reflectional symmetry and rotational symmetry in an image, which can be used to check the correctness of symmetry detection. This method has been demonstrated experimentally using more than 200 images.
引用
收藏
页码:466 / 476
页数:11
相关论文
共 28 条
[1]  
[Anonymous], PATTERN RECOGNITION
[2]  
ATALLAH MJ, 1985, IEEE T COMPUTERS, V34
[3]   N-FOLDED SYMMETRIES BY COMPLEX MOMENTS IN GABOR SPACE AND THEIR APPLICATION TO UNSUPERVISED TEXTURE SEGMENTATION [J].
BIGUN, J ;
DUBUF, JM .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1994, 16 (01) :80-87
[4]  
BLAKE A, 1993, P INT C PATT REC, P724
[5]   FOLD PRINCIPAL AXIS - A NEW TOOL FOR DEFINING THE ORIENTATIONS OF ROTATIONALLY SYMMETRICAL SHAPES [J].
CHOU, SL ;
LIN, JC ;
TSAI, WH .
PATTERN RECOGNITION LETTERS, 1991, 12 (02) :109-115
[6]   VISUAL-PATTERN RECOGNITION BY MOMENT INVARIANTS [J].
HU, M .
IRE TRANSACTIONS ON INFORMATION THEORY, 1962, 8 (02) :179-&
[7]  
Ip H. H. S., 1997, P 2 INT C VIS INF SY
[8]  
LABONTE F, 1993, P 4 INT C COMP VIS, P258
[9]   UNIVERSAL PRINCIPAL AXES - AN EASY-TO-CONSTRUCT TOOL USEFUL IN DEFINING SHAPE ORIENTATIONS FOR ALMOST EVERY KIND OF SHAPE [J].
LIN, JC .
PATTERN RECOGNITION, 1993, 26 (04) :485-493
[10]   DETECTING NUMBER OF FOLDS BY A SIMPLE MATHEMATICAL PROPERTY [J].
LIN, JC ;
TSAI, WH ;
CHEN, JA .
PATTERN RECOGNITION LETTERS, 1994, 15 (11) :1081-1088