教授
博士生导师
硕士生导师
性别:男
在职信息:在职
所在单位:数学学院
入职时间:1999-07-01
办公地点:山东大学中心校区知新楼B座1018室
电子邮箱:shujunfu@163.com
访问量:
最后更新时间:..
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[21]
吕红力.
Non-local weighted fuzzy energy-based active contour model with level set evolution starting with a constant function.
IET Image Processing,
13,
1115,
2019.
-
[22]
陈怀广.
Speckle reduction based on fractional-order filtering and boosted singular value shrinkage for optical coherence tomography image.
Biomedical Signal Processing and Control,
52,
281,
2019.
-
[23]
陈怀广.
Feature-oriented singular value shrinkage for optical coherence tomography image.
Optics and Lasers in Engineering,
114,
111,
2019.
-
[24]
翟林.
Multiscale Tensor Dictionary Learning Approach for Multispectral Image Denoising.
IEEE Access,
6,
51898,
2018.
-
[25]
吕红力.
Speckle noise reduction of multi-frame optical coherence tomography data using multi-linear principal component analysis.
Optics Express,
41,
11804,
2018.
-
[26]
付树军.
Advancements of Medical Image Enhancement in Healthcare Applications.
JOURNAL OF HEALTHCARE ENGINEERING,
2018.
-
[27]
付树军.
Adaptive tight frame based multiplicative noise removal.
Springerplus,
5,
2016.
-
[28]
付树军 and 张彩明.
Adaptive non-convex total variation regularisation for image restoration.
《ELECTRONICS LETTERS》,
46,
907,
2010.
-
[29]
付树军 and 张彩明.
Fringe pattern denoising using averaging based on nonlocal self-similarity.
Optics communications,
285,
2541,
2012.
-
[30]
付树军 and 王文洽.
A coupled shock-diffusion filter for image enhancement.
IEEE ICSP2006 Proceedings,
2,
1353,
2006.
-
[31]
付树军 , 王文洽 and 高夫征.
A feature-dependent fuzzy bidirectional flow for adaptive image sharpening.
Neurocomputing,
70,
883,
2007.
-
[32]
付树军 and 王文洽.
Geometry-driven nonlinear equation with an accelerating coupled scheme for image enhancement.
Lecture Notes in Computer Science,
4487,
490,
2007.
-
[33]
付树军 and 王文洽.
Region-based fuzzy shock filter with anisotropic diffusion for adaptive image enhancement.
Lecture Notes in Control and Information Sciences,
345,
1036,
2006.
-
[34]
付树军 and 王文洽.
Feature-oriented fuzzy shock-diffusion equation for adaptive image resolution enhancement.
Lecture Notes in Artificial Intelligence,
4223,
874,
2006.
-
[35]
付树军.
Adaptive filtering with self-similarity for low-dose CT imaging.
Optik,
126,
4949,
2015.
-
[36]
付树军.
An efficient classification method based on principal component and sparse representation.
Springerplus,
5,
2016.
-
[37]
付树军.
Retinal image enhancement using robust inverse diffusion equation and self-similarity filtering.
Plos one,
11,
2016.
-
[38]
付树军 and 王文洽.
基于各向异性扩散方程的局部非纹理图像修整与去噪.
《信号处理》,
23,
548,
2007.
-
[39]
付树军 and 王文洽.
带有局部耦合项的冲击扩散方程与图像锐化.
光电子·激光,
18,
245,
2007.
-
[40]
付树军 , 李玉 and 王文洽.
基于各向异性扩散方程的超声图像去噪与边缘增强.
电子学报,
33,
1191,
2005.
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