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北京大学 [4]
长春光学精密机械与物... [3]
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武汉大学 [1]
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期刊论文 [7]
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Color-Boosted Saliency-Guided Rotation Invariant Bag of Visual Words Representation with Parameter Transfer for Cross-Domain Scene-Level Classification
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 4
作者:
Yan, Li
;
Zhu, Ruixi
;
Liu, Yi
;
Mo, Nan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Bag of Visual Words ( BOVW)
color-boosted global contrast-based salient region detection method
rotation invariant BOVW representation
transfer of SVM parameters from the source to the target domain
cross-domain scene classification
Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017
Fang, Shu
;
Li, Jia
;
Tian, Yonghong
;
Huang, Tiejun
;
Chen, Xiaowu
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2017/12/03
Fixation prediction
learning-based model
random contrast
subspace analysis
visual saliency
VISUAL SALIENCY
REGION DETECTION
NATURAL STATISTICS
VIDEO COMPRESSION
GLOBAL FEATURES
EYE-MOVEMENTS
ATTENTION
SCENE
MODEL
FRAMEWORK
Objective Quality Assessment of Screen Content Images by Uncertainty Weighting
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017
Fang, Yuming
;
Yan, Jiebin
;
Liu, Jiaying
;
Wang, Shiqi
;
Li, Qiaohong
;
Guo, Zongming
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2017/12/03
Visual quality assessment
screen content image
full-reference quality assessment
uncertainty weighting
NATURAL SCENE STATISTICS
STRUCTURAL SIMILARITY
CONTRAST
INFORMATION
LUMINANCE
GRADIENT
FUSION
Reversible Data Hiding: Advances in the Past Two Decades
期刊论文
IEEE ACCESS, 2016
Shi, Yun-Qing
;
Li, Xiaolong
;
Zhang, Xinpeng
;
Wu, Hao-Tian
;
Ma, Bin
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/12/04
Reversible data hiding
lossless data hiding
invertible data hiding
histogram shifting
difference expansion
prediction-error
sorting
robust reversible data hiding
video reversible data hiding
audio reversible data hiding
INTEGER WAVELET TRANSFORM
IMAGE QUALITY ASSESSMENT
EXPANSION EMBEDDING TECHNIQUES
PREDICTION-ERROR EXPANSION
NATURAL SCENE STATISTICS
EDGE SENSING PREDICTION
DIFFERENCE EXPANSION
ENCRYPTED IMAGES
HISTOGRAM-MODIFICATION
CONTRAST ENHANCEMENT
基于视觉认知的禁令交通标志检测
期刊论文
北京大学学报 自然科学版, 2015
胡晓光
;
程承旗
;
李德仁
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2017/12/03
交通标志检测
街景
显著性分析
视觉反差
traffic sign detection
street scene
saliency analysis
visual contrast
The ship-borne infrared searching and tracking system based on the inertial platform (EI CONFERENCE)
会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Li Y.
;
Zhang H.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
As a result of the radar system got interferenced or in the state of half silent
it can cause the guided precision drop badly In the modern electronic warfare
therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings
but when interference is in the process of radar leading
especially the electro-optical equipment is influenced by the roll
pitch and yaw rotation
it can affect the target appear outside of the field of optoelectronic devices for a long time
so the infrared optoelectronic equipment can not exert the superiority
and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly
the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene
the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking
when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
基于多传感器图像融合技术的鲁棒景象匹配算法
期刊论文
2010, 2010
刘宝生
;
闫莉萍
;
周东华
;
LIU Bao-sheng
;
YAN Li-ping
;
ZHOU Dong-hua
收藏
  |  
浏览/下载:3/0
R-D域对比度最小化解SAR Doppler模糊
期刊论文
2010, 2010
于明成
;
许稼
;
彭应宁
;
YU Mingcheng
;
XU Jia
;
PENG Yingning
收藏
  |  
浏览/下载:4/0
Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE)
会议论文
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
Li J.
;
Wang Y.
;
Sun H.
;
Tian R.
;
Zhang Y.
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2013/03/25
This paper proposes a new restoration method
only using the single image information
combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols
such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images
and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods
our restoration technique is not only independent on predicted structure
distributions of scene reflectance
or detailed knowledge about the particular weather condition
but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.
An edge extracting method of fuzzy thresholding value (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Gu R.
;
Zhu M.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2013/03/25
This paper discusses image's object edge extracting of threshold value. First
this paper introduces fundamental principle of gray image object edge extracting
after discussing the influence of object edge image's gray scale distributing characteristic and choice of threshold value to character extracting and target identification
we bring forward a sort of method
which using object edge fuzzy taxonomy and maximum fuzzy entropy theory to auto choose threshold value in the case that membership function is given
then we have a test of threshold value segmentation to edge gray image in different contrast
the result indicates this method has preferable scene adaptive faculty.
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