Contents Based Color Image Edge Detection Using Hessian Matrix

Abstract:

The edges are the most fundamental and important characteristic of an image, edge detection is the key link and classic topic in machine vision and image processing. Considering the human visual characteristics, the intrinsic gradient direction information of color images was used to obtain the pseudo-color edges of the images by conducting multichannel edge detection. After enhancing the edge information and removing the correlation, the brightness is extracted in order to obtain complete image edge information. To make the edges more smooth and continuous, the Hessian matrix is used to remove coarse edges and edges with redundant background texture. The experiment verifies the effectiveness of the proposed algorithm, and the comparison with other scheme indicates that our scheme can improve the effectiveness, continuity and sharpness of edge detection.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 1853-1860
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.1853
• Online since: September 2013
• Authors: Li Zhang*, Lie Jun Wang, Sen Hai Zhong, Gang Zhao
• Keywords: Color Image, Edge Detection, Hessian Matrix, Image Enhancement

References

[1] Liu W, Ma Z. Wavelet image threshold denoising based on edge detection[C]/Computational Engineering in Systems Applications, IMACS Multiconference on. IEEE, 2006, 1: 72-78.

DOI: 10.1109/cesa.2006.4281626

[2] Wu J, Yin Z, Xiong Y. The fast multilevel fuzzy edge detection of blurry images[J]. Signal Processing Letters, IEEE, 2007, 14(5): 344-347.

DOI: 10.1109/lsp.2006.888087

[3] Yang Hong-ying, Wu Jun-feng, Yu Yong-jian, Wang Xiang-yang. Content Based Image Retrieval Using Color Edge Histogram in HSV Color Space[J]. Journal of image and graphics , 2008, 13(10): 2036-(2038).

DOI: 10.4018/978-1-59140-156-8.ch005

[4] Yu Ye, Lu Jian-hua, Zheng Jun-li, Color image edge detection algorithm[J]. Journal of Tsinghua University, 2005, 45(10): 1339-1343.

[5] McIlhagga W. The Canny edge detector revisited[J]. International Journal of Computer Vision, 2011, 91(3): 251-261.

DOI: 10.1007/s11263-010-0392-0

[6] Vincent O R, Folorunso O. A descriptive algorithm for sobel image edge detection[C]/Proceedings of Informing Science & IT Education Conference (InSITE). 2009: 97-107.

DOI: 10.28945/3351

[7] Jiang W, Lam K M, Shen T Z. Efficient edge detection using simplified Gabor wavelets[J]. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 2009, 39(4): 1036-1047.

DOI: 10.1109/tsmcb.2008.2011646

[8] Liu Qing, Lin Tu-sheng. Image edge detection algorithm based on mathematical morphology[J]. Journal of South China University of Technology(Natural Science Edition) , 2008, 36(9): 113-116, 121.

[9] Du Ya-qin, Hong Bo, Guo Lei, Yang Ning. Novel curve fitting edge feature extraction algorithm[J] Journal of Xidian University(Natural Science Edition) , 2011, 38(3): 164-168, 188.

[10] Li Guang-Ming, Tian Jie, Zhao Ming-chang, He Hui-guang. Centerline extraction based on hessian matrix[J]Journal of software, 2003, 14(12): 2074-(2081).

[11] Frangi A F, Niessen W J, Vincken K L, et al. Multiscale vessel enhancement filtering[M]/Medical Image Computing and Computer-Assisted Interventation—MICCAI'98. Springer Berlin Heidelberg, 1998: 130-137.

DOI: 10.1007/bfb0056195

[12] Duan Qun, Liu Xiao-yu, Wu Fen-xia. An approach for image enhancement based on high frequency emphasize filter and histogram equalization[J] Computer technology and automation, 2009, 28(2): 95-97, 110.

[13] Xiao F, Zhou M, Geng G. Detail enhancement and noise reduction with true color image edge detection based on wavelet multi-scale[C]/Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on. IEEE, 2011: 1061-1064.

DOI: 10.1109/aimsec.2011.6010635

[14] Zhou P, Ye W, Xia Y, et al. An Improved Canny Algorithm for Edge Detection[J]. Journal of Computational Information Systems, 2011, 7(5): 1516-1523.

[15] Jiang W, Lam K M, Shen T Z. Efficient edge detection using simplified Gabor wavelets[J]. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 2009, 39(4): 1036-1047.

DOI: 10.1109/tsmcb.2008.2011646

[16] Lin Hui, Zhao Chang-sheng, Shu Ning. Edge detection based on Canny operator and evaluation[J] Journal of Heilongjiang Institute of Technology, 2003, 17(2): 3-6.

[17] Chen X, Chen H. A novel color edge detection algorithm in RGB color space[C]/Signal Processing (ICSP), 2010 IEEE 10th International Conference on. IEEE, 2010: 793-796.

DOI: 10.1109/icosp.2010.5655926