撤稿:基于3次B样条小波变换和改进自适应阈值的边缘检测算法
RETRACTED: A New Edge Detection Algorithm Based on 3-B-Spline Wavelet Transform and an Improved Adaptive Threshold
DOI: 10.12677/CSA.2017.73028, PDF, HTML, 下载: 1,998  浏览: 5,353  国家自然科学基金支持
作者: 徐 靖:航宇救生装备有限公司,湖北 襄阳;王 煜*:武汉航空仪表有限责任公司,湖北 武汉;豆 帅, 王元勋:华中科技大学,湖北 武汉
关键词: 边缘提取小波变换自适应阈值峰值信噪比Edge Detection Wavelet Transform Adaptive Threshold PSNR
摘要: 撤稿声明:“基于3次B样条小波变换和改进自适应阈值的边缘检测算法”一文刊登在2017年3月出版的《计算机科学与应用》2017年第7卷第3期第225-231页上。之后该论文二作于2020年以一作身份将此文章发表在其它刊物上,属于学术不端行为。为避免造成不良后果,根据国际出版流程,编委会现决定撤除此稿件:徐靖, 王煜, 豆帅, 王元勋. 基于3次B样条小波变换和改进自适应阈值的边缘检测算法[J]. 计算机科学与应用, 2017, 7(3): 225-231. https://doi.org/10.12677/CSA.2017.73028
文章引用:  

参考文献

[1] Jone, C. (1986) A Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 679-698.
[2] Marr, D. and Hildreth, E. (1980) Theory of Edge Detection. Proceedings of the Royal Society of London. Series B, 207, 187-217.
https://doi.org/10.1098/rspb.1980.0020
[3] Mallat (1994) A Theory for Multi-Resolution Decomposition: The Wavelet Shrinkage. Biometrika, 81, 425-452.
[4] Unser, M.A., Ldrou, B.I.A. and Eden, M. (1992) On the Asymptotic Convergence of B-Spline Wavelets to Gabor Function. IEEE Transaction on Information Theory, 38, 864-872.
https://doi.org/10.1109/18.119742
[5] Wang, Y.-P. and Cai, Y.-L. (1995) Multiscale B-Spline Wavelet Edge Detection Operator. Science of China, 25, 426- 437.
[6] Donoho, M.J. (1995) Denoising by Soft Thresholding. IEEE Transactions on Information Theory, 41, 613-627.
https://doi.org/10.1109/18.382009
[7] Chang, S.G., Yu, B. and Vetterli, M. (2000) Adaptive Wavelet Thresholding for Image Denoising and Compression. IEEE Transactions on Image Processing, 9, 1532-1546.
https://doi.org/10.1109/83.862633
[8] Luisier, F., Blu, T. and Unser, M. (2007) A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding. IEEE Transactions on Image Processing, 3, 593-605.
https://doi.org/10.1109/TIP.2007.891064
[9] Bhutada, G.G., Anand, R.S. and Saxena, S.C. (2011) Edge Preserved Image Enhancement Using Adaptive Fusion of Images Denoised by Wavelet and Curvelet Transform. Digital Signal Processing, 21, 118-130.
https://doi.org/10.1016/j.dsp.2010.09.002
[10] Schoenberg, I.J. (1946) Contributions to the Problem of Approximation of Equidistant Data by Analytic Functions. Quarterly of Applied Mathematics, 4, 45-99, 112-141.
https://doi.org/10.1090/qam/15914
[11] Kaur, L., Gupta, S. and Chauhan, R.C. (2002) Image Denoising Using Wavelet Thresholding. Proceedings of the Third Indian Conference on Computer Vision, Graphics and Image Processing, 11, 1522-1531.
[12] Huang, B.W. and Jiao, Y. (2014) A New Adaptive Threshold Image-Denoising Method Based on Edge Detection. TELKOMNIKA Indonesian Journal of Electrical Engineering, 12, 3509-3514.
https://doi.org/10.11591/telkomnika.v11i11.3533