Edge detection method based on kernel principal component analysis and subspace classification

Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science)

Volumn 37, Issue 1, 2009, Pages 59-63

  Lin, Zheng Chun ^a   Wang, Zhi Yan ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Edge detection; Feature space; Kernel principal component analysis; Sample selection; Subspace classification

Indexed keywords

EDGE DETECTION; FEATURE EXTRACTION; PERSONNEL TRAINING;

DATA CLASSIFICATIONS; DETECTION ACCURACIES; EDGE DETECTION METHODS; FEATURE SPACE; IMAGE FEATURES; KERNEL PRINCIPAL COMPONENT ANALYSIS; NONLINEAR PCA; PRINCIPAL COMPONENTS; SAMPLE SELECTION; SAMPLE TRAININGS; SUBSPACE CLASSIFICATION; UNIFIED MODELS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 62549099571     PISSN: 1000565X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Haralic R M, Sternberg S R, and Zhuang Xin-Hua, Image analysis using mathematical morphology[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987, 9(4): 532-550.
2. Yuan Hua, Wu Xiao-ming, Cen Ren-jing, et al. Automatic edge-detection of tumor in MRI[J]. Journal of South China University of Technology: Natural Science Edition, 2001, 29(4): 6-8.
3. Mallat Stephane, Hwang Wen-Liang. Singularity detection and processing with wavelets[J]. IEEE Transactions on Information Theory, 1992, 38(2): 617-643.
4. Saleem Muhammad, Touqir Imran, Siddiqui Adil Masood. Novel edge detection[C]//Proceeding of the Fourth International Conference on Information Technology. Las Vegas: IEEE, 2007: 175-180.
5. Wu Shang-sheng, Fang Fei-cun, Duan Fu-hai, et al. Application of B-spline binary wavelet transform to profile image processing of gear[J]. Journal of South China University of Technology: Natural Science Edition, 2007, 35(8): 55-58.
6. Márquez David A, Paredes José L, Garcia-Gabin Winston. Nonlinear filters based on support vector machines[C]//Proc of IEEE International Conference on Acoustics, Speech and Signal Processing. Honolulu: IEEE, 2007: 581-584.
7. Kass Michael, Witkin Andrew, Terzopoulos Demetri. Snakes: active contour models[J]. International Journal of Computer Vision, 1998, 1(4): 321-331.
8. Xu Chenyang, Prince Jerry L. Snakes, shapes, and gradient vector flow[J]. IEEE Transactions on Image Processing, 1998, 7(3): 359-369.
9. Ma Miao, Fan Yang-yu, Xie Song-yun, et al. A novel algorithm of image edge detection base on gray system theory[J]. Journal of Image and Graphics, 2003, 8(10): 1136-1139.
10. Zeng Xiang-Yan, Chen Yen-Wei, Nakao Zensho. Image feature representation by the subspace of nonlinear PCA[C]//Proceeding of the 16th International Conference on Pattern Recognition. Québec City: IEEE, 2002: 228-231.
11. Dony Rober D, Haykin Simon. Optimally adaptive transform coding[J]. IEEE Transactions on Image Processing, 1995, 4(10): 1358-1370.
12. Oja E. The nonlinear PCA learning rule and signal separation-mathematical analysis[J]. Neurocomputing, 1997, 17: 25-45.
13. Vapnik V N. The nature of statistical learning theory[M]. New York: Springer-Verlag, 1995.
14. Scholkopf Bernhard, Smola Alexander, Mliller Klaus-Robert. Nonlinear component analysis as a kernel eigenvalue problem[J]. Neural Computing, 1998, 10: 1299-1319.
15. Kwok James Tin-Yau, Tsang Ivor Wai-Hung. The pre-image problem in kernel methods[J]. IEEE Transactions on Neural Networks, 2004, 15(6): 1517-1525.
16. Chen Yen-wei, Zeng Xiang-yan, Lu Han-qing. Edge detection and texture segmentation based on independent component analysis[C]//Proceeding of the 16th International Conference on Pattern Recognition. Québec City: IEEE, 2002: 351-354.
17. Oja E. Subspace methods of pattern recognition[M]. Letchworth: Research Studies Press, 1983.