Robust segmentation of corneal fibers from noisy images

Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing - ICVGIP '16 ◽

10.1145/3009977.3010051 ◽

2016 ◽

Author(s):

Jia Chen ◽

James Jester ◽

M. Gopi

Keyword(s):

Noisy Images ◽

Robust Segmentation

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Robust segmentation of noisy images using a neural network model

Image and Vision Computing ◽

10.1016/0262-8856(92)90054-7 ◽

1992 ◽

Vol 10 (4) ◽

pp. 233-240 ◽

Author(s):

Wang Tao ◽

Zhuang Xinhua ◽

Xing Xiaoliang

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Noisy Images ◽

Robust Segmentation

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Robust segmentation method for noisy images based on an unsupervised denosing filter

Tsinghua Science & Technology ◽

10.26599/tst.2021.9010021 ◽

2021 ◽

Vol 26 (5) ◽

pp. 736-748

Author(s):

Ling Zhang ◽

Jianchao Liu ◽

Fangxing Shang ◽

Gang Li ◽

Juming Zhao ◽

...

Keyword(s):

Segmentation Method ◽

Noisy Images ◽

Robust Segmentation

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A Novel Filter For the Detection of Object Boundary and Edges in Noisy and Non-Noisy Images

SSRN Electronic Journal ◽

10.2139/ssrn.3538586 ◽

2020 ◽

Author(s):

Sandeep Chand Kumain ◽

Kamal Kumar

Keyword(s):

Object Boundary ◽

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Improving the Quality of Reconstruction of Noisy Images in the Wavelet Region

2021 International Siberian Conference on Control and Communications (SIBCON) ◽

10.1109/sibcon50419.2021.9438904 ◽

2021 ◽

Author(s):

Elena Medvedeva ◽

Igor Trubin

Keyword(s):

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A Robust Segmentation Algorithmfor for 3D Complex Meshes

Journal of Physics Conference Series ◽

10.1088/1742-6596/1802/3/032045 ◽

2021 ◽

Vol 1802 (3) ◽

pp. 032045

Author(s):

Yu Hou ◽

Yong Zhao

Keyword(s):

Robust Segmentation

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Self-supervised Feature Enhancement Networks for Small Object Detection in Noisy Images

IEEE Signal Processing Letters ◽

10.1109/lsp.2021.3081041 ◽

2021 ◽

pp. 1-1

Author(s):

Geonsoo Lee ◽

Sungeun Hong ◽

Donghyeon Cho

Keyword(s):

Object Detection ◽

Small Object ◽

Feature Enhancement ◽

Noisy Images ◽

Small Object Detection

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Single Image Super Resolution Using Convolutional Neural Networks for Noisy Images

2020 International Conference on Information and Communication Technology Convergence (ICTC) ◽

10.1109/ictc49870.2020.9289414 ◽

2020 ◽

Author(s):

Tae Bok Lee ◽

Yong Seok Heo

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Super Resolution ◽

Single Image ◽

Noisy Images ◽

Image Super Resolution ◽

Single Image Super Resolution

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Rectification-adapted snake for complex-boundary segmentation in noisy images

10.1117/12.2010100 ◽

2013 ◽

Author(s):

Din-Yuen Chan ◽

Roy C. Hsu ◽

Pang-Hao Wu ◽

Cheng-Ting Liu

Keyword(s):

Noisy Images ◽

Complex Boundary

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An Improved Edge Detection Algorithm for Noisy Images

Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science - AICS 2019 ◽

10.1145/3349341.3349373 ◽

2019 ◽

Author(s):

Tongping Shen ◽

Fangliang Huang ◽

Li Jin

Keyword(s):

Edge Detection ◽

Detection Algorithm ◽

Edge Detection Algorithm ◽

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Maximum precision closed-form solution for localizing diffraction-limited spots in noisy images

Optics Express ◽

10.1364/oe.20.018478 ◽

2012 ◽

Vol 20 (16) ◽

pp. 18478 ◽

Author(s):

Joshua D. Larkin ◽

Peter R. Cook

Keyword(s):

Closed Form ◽

Closed Form Solution ◽

Form Solution ◽

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