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长春光学精密机械与物... [1]
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山东大学 [1]
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Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis
期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 27-39
作者:
Yu Hao
;
Zhi-Jie Xu
;
Ying Liu
;
Jing Wang
;
Jiu-Lun Fan
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浏览/下载:1/0
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提交时间:2021/02/22
Crowd behavior
spatial-temporal texture
gray level co-occurrence matrix
information entropy.
An entropy method for fuzzy group decision-making problems under fuzzy random information
期刊论文
International Journal of Applied Mathematics and Statistics, 2013, 卷号: 43, 期号: 13, 页码: 224-231
作者:
Yan, Gao
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浏览/下载:3/0
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提交时间:2019/12/23
Entropy.
Expectation value
Intuitionistic fuzzy number
Triangular fuzzy numbers
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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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.
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