A Quantitative and Comparative Analysis of Edge Detectors for Biomedical Image Identification Within Dynamical Noise Effect-Reference-Cited by-同舟云学术

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A Quantitative and Comparative Analysis of Edge Detectors for Biomedical Image Identification Within Dynamical Noise Effect

Published:2020 Issue: Volume: Page:90-101
ISSN:0302-9743
Container-title:Intelligent Information and Database Systems
language:
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Author:

Vilimek Dominik,Kubikova Kristyna,Kubíček Jan,Barvik Daniel,Penhaker Marek,Cerny Martin,Augustynek Martin,Oczka David,Vondrak Jaroslav

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-42058-1_8

Reference22 articles.

1. Aslam, A., Khan, E., Beg, M.S.: Improved edge detection algorithm for brain tumor segmentation. Proced. Comput. Sci. 58, 430–437 (2015)

2. Berezsky, O., Pitsun, O., Verbovyy, S., Datsko, T., Bodnar, A.: Computer diagnostic tools based on biomedical image analysis. In: 2017 14th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), pp. 388–391. IEEE (2017)

3. Boyat, A.K., Joshi, B.K.: A review paper: noise models in digital image processing. arXiv preprint arXiv:1505.03489 (2015)

4. Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 6, 679–698 (1986)

5. Chaple, G.N., Daruwala, R.D., Gofane, M.S.: Comparisions of robert, prewitt, sobel operator based edge detection methods for real time uses on FPGA. In: 2015 International Conference on Technologies for Sustainable Development (ICTSD), pp. 1–4. IEEE, Mumbai, February 2015. https://doi.org/10.1109/ICTSD.2015.7095920

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1. Noise estimation in 2D MRI using DWT coefficients and optimized neural network;Biomedical Signal Processing and Control;2022-01

2. Estimation of Nonhomogeneous Noise in 2D Magnetic Resonance Imaging;International Journal of Imaging Systems and Technology;2021-11-28

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