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长春光学精密机械与... [12]
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期刊论文 [7]
会议论文 [5]
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专题:长春光学精密机械与物理研究所
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Active vibration control method of double crystal monochromator of P2 protein crystallography beam line at SSRF
期刊论文
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2021, 卷号: 1019
作者:
Y. Bai
;
G. X
;
L. Q
;
S. Y
;
W. D
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浏览/下载:2/0
  |  
提交时间:2022/06/13
A state perception method for infrared dim and small targets with deep learning
期刊论文
Chinese Optics, 2020, 卷号: 13, 期号: 3, 页码: 527-536
作者:
L.-H. Huang,L.-H. Cao,N. Li and Y. Li
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浏览/下载:2/0
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提交时间:2021/07/06
The Research About Adaptive Active Recognition and Tracking Technology of Fast Target Image Strength
期刊论文
Ieee Sensors Journal, 2020, 卷号: 20, 期号: 20, 页码: 11795-11801
作者:
L. Ning,C. X. Liu,Y. F. Zhang,L. H. Cao and Z. B. Chen
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浏览/下载:2/0
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提交时间:2021/07/06
Vehicular Daytime High-resolution Imaging System Based on Phase-diversity Technology
期刊论文
Guangzi Xuebao/Acta Photonica Sinica, 2019, 卷号: 48, 期号: 3
作者:
M.Ming
;
T.Chen
;
T.-S.Xu
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浏览/下载:1/0
  |  
提交时间:2020/08/24
Image resolution,Diffraction,Imaging systems,Infrared devices,Infrared radiation,Object detection,Optical design,Optical telescopes,Phase measurement,Space telescopes,Wavefronts
Rotundic acid enhances the impact of radiological toxicity on MCF-7 cells through the ATM p53 pathway
期刊论文
International Journal of Oncology, 2018, 卷号: 53, 期号: 5, 页码: 2269-2277
作者:
Wang, Z. F.
;
Sun, W. Y.
;
Yu, D. H.
;
Zhao, Y.
;
Xu, H. M.
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  |  
浏览/下载:2/0
  |  
提交时间:2019/09/17
rotundic acid
radiation
apoptosis
ataxia-telangiectasia mutated
tumor protein p53
breast-cancer
ionizing-radiation
triterpene acids
trial
radiotherapy
expression
therapy
risk
atm
trastuzumab
Oncology
Structure design of a deformable mirror used on space camera
期刊论文
Guangzi Xuebao/Acta Photonica Sinica, 2016, 卷号: 45, 期号: 1
作者:
Yuan, J.
;
W. Sha and J.-Y. Ren
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浏览/下载:14/0
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提交时间:2017/09/11
Sub-nanometer precision optical fabrication of CaF2materials
期刊论文
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2016, 卷号: 24, 期号: 11
作者:
Zhang, C.-L.
;
L. Xu
;
J. Liu
;
Z.-L. Ma
;
F. Wang
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  |  
浏览/下载:19/0
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提交时间:2017/09/11
The application of adaptive enhancement algorithm based on gray entropy in mammary gland CR image (EI CONFERENCE)
会议论文
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.
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浏览/下载:24/0
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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.
Application of adaptive enhancement means in head and neck CR image (EI CONFERENCE)
会议论文
2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China
Zhang M.-H.
;
Zhang Y.-Y.
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浏览/下载:22/0
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提交时间:2013/03/25
Digital CR of head and neck overcomes the disadvantage of regular X-ray radiography
which can not reveal bone and soft tissue position deficiency in one exposing
and reduces the Xray radiation dose. Meanwhile
various factors cause the decline of image quality
and images must be enhanced in order to meet demands of doctor's clinical diagnosis. The general enhancement algorithms don't consider body's structure differences and density characteristics. A new adaptive CR enhancement algorithm was proposed in this article
and head and neck CR images were processed with this method and compared with linear unsharp masking method. The experiment proves that the details of CR image enhanced were abundant and enhanced CR image had good visual effect
SNR was high
as well as detail variance /background variance (DV/BV) indicating that this algorithm is suitable for head and neck CR medical images. (2012) Trans Tech Publications
Switzerland.
The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE)
会议论文
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
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浏览/下载:52/0
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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.
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