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CAS IR Grid
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长春光学精密机械与物... [5]
物理研究所 [1]
国家空间科学中心 [1]
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武汉物理与数学研究所 [1]
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OAI收割 [13]
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会议论文 [7]
期刊论文 [6]
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2019 [1]
2018 [1]
2017 [1]
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Computer S... [1]
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Research on edge enhancement of optical image based on acousto-optic filtering
会议论文
OAI收割
Xi'an, China, 2021-07-23
作者:
Chu, Yukun
;
Chen, Liqun
;
Wang, Hao
;
Zhang, Chunguang
;
Liu, Wenyao
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2022/01/21
AOTF
angular spectrum selection
spatial filter
edge enhancement
Infrared upconverted image edge enhancement using spiral phase filter
期刊论文
OAI收割
Laser Physics, 2019, 卷号: 29, 期号: 1
作者:
Liu, Lei
;
Wang, HongYan
;
Ning, Yu
;
Guo, Chuan
;
Ren, Ge
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/05/06
infrared upconverted image
edge enhancement
spiral phase filter
Edge Plasma Enhancements of Equatorial Plasma Depletions Observed by All-Sky Imager and the C/NOFS Satellite
期刊论文
OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2018, 卷号: 123, 期号: 10, 页码: 8835-8849
作者:
Wu, Kun
;
Xu, Jiyao
;
Xiong, Chao
;
Yuan, Wei
  |  
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2019/01/07
edge plasma enhancement
equatorial plasma depletion
all-sky imager
the C
NOFS satellite
Image enhancement for outdoor long-range surveillance using IQ-learning multiscale Retinex
期刊论文
OAI收割
IET IMAGE PROCESSING, 2017, 卷号: 11, 期号: 9, 页码: 786-795
作者:
Liu, Haoting
;
Lu, Hanqing
;
Zhang, Yu
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2018/03/03
Image Enhancement
Video Surveillance
Image Restoration
Wavelet Transforms
Neural Nets
Backpropagation
Outdoor Long-range Surveillance
Blind Iq-learning Multiscale Retinex
Visible Light Camera-based
Image Enhancement Method
Blind Image Quality Learning Multiscale Retinex
Image Brightness Degree
Image Region Contrast Degree
Image Edge Blur Degree
Image Colour Quality Degree
Image Noise Degree
Wavelet Transform Multiscale Retinex
Wt_msr
Multiple Optimal Control Parameter
Mocp
Backpropagation Neural Network
Bpnn
Image enhancement based on intuitionistic fuzzy sets theory
期刊论文
OAI收割
IET IMAGE PROCESSING, 2016, 卷号: 10, 期号: 10, 页码: 701-709
作者:
Deng, He
;
Sun, Xianping
;
Liu, Maili
;
Ye, Chaohui
;
Zhou, Xin
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2016/12/12
fuzzy set theory
image enhancement
edge detection
image enhancement
intuitionistic fuzzy sets theory
weak edges
imaging applications
defuzzification operations
hyperbolisation operations
region of interest
ROI
X-ray Image Processing Methods in Minimally Invasive Spine Surgery
会议论文
OAI收割
8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), Zhejiang Univ, Hangzhou, PEOPLES R CHINA, 2016-09-11
作者:
Zhang, Huanbo
;
Shen, Xianglin
;
Dong L(董亮)
;
Miao, Sheng
;
Ma, Qin
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2017/04/17
component
BIBLIOMETRIC ANALYSIS
X-ray image
ENHANCEMENT
image processing
image enhancement
edge detection
The application of adaptive enhancement algorithm based on gray entropy in mammary gland CR image (EI CONFERENCE)
会议论文
OAI收割
2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012, April 21, 2012 - April 23, 2012, Three Gorges, China
Zhang M.-H.
;
Zhang Y.-Y.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2013/03/25
Mammary gland is composed entirely of soft tissue with approximate density
therefore mammary gland CR medicine radiation image presents a low contrast
and slight difference changes may be a manifestation of tumor
so it is necessary to enhance mammary gland CR image to improve its visual quality in order to meet the demands of doctor's clinical diagnosis. However the general enhancement algorithms over enhance the contrast and noise
due to image details lost
aiming at the defects
a mammary gland CR medicine image adaptive enhancement arithmetic based on image gray entropy is put forward. The arithmetic adapts dizzy image to magnify selected spatial frequency response in order to enhance the edge details of mammary gland CR images. It can adjust weighted factor K according to image gray characteristics namely pixel gray entropy. Experiments results demonstrate that mammary gland CR image enhanced by the algorithm has abundant details and high signal-to-noise ratio
moreover
CR image enhanced has good visual effect. So the method is effective and fit for enhancing CR medical radiation image edge details. 2012 IEEE.
The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE)
会议论文
OAI收割
4th International Conference on Mechanical and Electrical Technology, ICMET 2012, July 24, 2012 - July 26, 2012, Kuala Lumpur, Malaysia
Ming-Hui Z.
;
Yao-Yu Z.
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2013/03/25
Digital CR medicine radiation image is in doctor's favor and has became medicine imaging technology new hot spot because of its high gray contrast
powerful computer disposal function
little radiation dosage
non-film diagnosis
different area consultation. But degradation of digital X-ray medical image such as low contrast and blurring during radiographic imaging
caused by complexity of body tissue and effects of X-ray scattering and electrical noise etc.
can worsen the results of analysis and diagnosis. So it is usually needed that CR medicine image is enhanced to improve its vision quality
and easy to doctor's more accurate diagnosis. The general enhancement algorithms over enhancing the contrast and lose image details
aiming at the defects
an enhancement algorithm for CR image is proposed based on the ratio of deviation to mean of domain. The arithmetic enhance CR image edge details by adjusting factor K based on the ratio of deviation to mean of domain of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect
the adaptive enhancement method is fit for CR medicine image. (2012) Trans Tech Publications
Switzerland.
Optimization of the in-line X-ray phase-contrast imaging setup considering edge-contrast enhancement and spatial resolution
期刊论文
OAI收割
中国物理C, 2012, 期号: 3, 页码: 267-274
作者:
Jia QJ(贾全杰)
;
Chen Y(陈雨)
;
Li G(黎刚)
;
Jiang XM(姜晓明)
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2015/12/25
X-ray phase contrast imaging
edge-contrast enhancement
spatial resolution
An adaptive enhancement means adapt to CR medicine image (EI CONFERENCE)
会议论文
OAI收割
International Conference on Image Processing and Pattern Recognition in Industrial Engineering, August 7, 2010 - August 8, 2010, Xi'an, China
Zhang M.-H.
;
Zhang Y.-Y.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2013/03/25
It puts forward CR medicine image adaptive enhancement arithmetic based on the ratio of image variance to noise variance which can adjust factor K bases on CR image gray characteristic and enhance image detail and improve image diagnosis value. Experiment results demonstrate that the algorithm enhances CR image detail and the value of DV/BV was higher than the other algorithms
moreover CR image enhanced has good visual effect
the method is fit for edge detail enhancement of CR medicine radiation image. 2010 SPIE.