Frontiers in Signal Processing
Research on Tibetan Document Segmentation Based on GMM+K-means Algorithm
Download PDF (3174.2 KB) PP. 100 - 108 Pub. Date: October 15, 2019
Author(s)
- Chengliang Jiang
College of Electrical & Information Engineering, Southwest Minzu University, Chengdu, China - Huazhang Wang*
College of Electrical & Information Engineering, Southwest Minzu University, Chengdu, China
Abstract
Keywords
References
[1] Song R, Zhang Z, Liu H. “Edge connection based Canny edge detection algorithm”. Pattern Recognition & Image Analysis, 2017, 27(4), pp.740-747.
[2] GAO Yong-gang. “An Improved Edge Detection of Roberts Operators”. Journal of Chaohu University, 2009, 11(6), pp.31-32.
[3] Ding K, Xiao L, Weng G. “Active contours driven by region-scalable fitting and optimized Laplacian of Gaussian energy for image segmentation”. Signal Processing, 2017, 134, pp.224-233.
[4] YILIHAMU Yaermaimaiti, “Research on an improved image segmentation algorithm for Uyghur characters”, Modern Electronics Technique, pp.128-131, 2017(04).
[5] Zhang Kaige, Miao Yi, Lei Jiankun, et al. “Extraction of color image texts combining wavelet interpolation and K-means”. Computer Technology and Development, pp.31-33. 2013(3).
[6] Wu Suhui, Cheng Ying, Zheng Yanning, et al. “Survey on K-means Algorithm”, Data Analysis and Knowledge Discovery, pp.28-35,2011, 27(5)
[7] Xiang Rihua, Wang Runsheng. “A Range Image Segmentation Algorithm Based on Gaussian Mixture Model”. Journal of Software, 14(7), pp.1250-1257. 2003.
[8] Luisier F, Blu T. “SURE-LET multichannel image denoising: interscale orthonomal wavelet thresholding “.IEEE Transactions on Image Processing, 2008, 17(4). pp. 482-492.
[9] Donoho D L, Johnstone J M. Ideal spatial adaptation by wavelet shrinkage[J]. Biometrika, 1994, 81(3), pp.425- 455.
[10] Bai J, Feng X C. “Fractional order anisotropic diffusion for image denoising”. IEEE Transactions on Image Pmcessing, 2007, 16(10), pp.2492-2502.
[11] Perona P, Malik J. “scale-space and edge detection using all isotropic diffusion”. IEEE Transactions on Pattem Analysis and Machines Intelligence, 1990, 12(7), pp.629-639.
[12] Buades A, Coll B, Morel J M. “A Non-Local Algorithm for Image Denoising”. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. San Diego, CA, USA:IEEE, 2005, pp60-65.
[13] Zhao Qingping, Chen Debao, Jiang Enhua, et al. “Improved weighted non-local mean algorithm filter for image denoising”, Journal of Electronic Measurement and Instrument, 2014, 28(3), pp.334-339.