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Interest Point Detection by Limiting Form of Median Log Filter
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 84182-84196
作者:
Chen, Junzhang
;
Lyu, Mengyao
;
Wang, Xing
;
Bai, Xiangzhi
;
Yang, Chao
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Feature extraction
image registration
interest point detection
Laplacian of Gaussian filter
Testing the Efficiency of Using High-Resolution Data From GF-1 in Land Cover Classifications
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 卷号: 11, 期号: 9, 页码: 3051-3061
作者:
Wang, Xiaofeng
;
Zhou, Chaowei
;
Feng, Xiaoming
;
Cheng, Changwu
;
Fu, Bojie
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/06/17
GF-1
gray-level co-occurrence matrix (GLCM)
land cover
Laplacian-of-Gaussian (LOG) filtering
multisource data classification
support vector machine (SVM)
the Loess plateau
Quality metric in matched Laplacian of Gaussian response domain for blind adaptive optics image deconvolution
期刊论文
OPTICAL ENGINEERING, 2016, 卷号: 55
作者:
Guo, Shiping
;
Zhang, Rongzhi
;
Yang, Yikang
;
Xu, Rong
;
Liu, Changhai
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/26
deconvolution
postprocessing
image quality
Laplacian of Gaussian
adaptive optics
matching
Decoupled Marginal Distribution of Gradient Magnitude and Laplacian of Gaussian for Texture Classification
会议论文
作者:
Xue, Wufeng
;
Mou, Xuanqin
;
Zhang, Lei
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Gradient Magnitude
Texture classification
Laplacian of Gaussian
Decoupled marginal distributions
A Low Complexity Interest Point Detector
期刊论文
ieee signal processing letters, 2015
Chen, Jie
;
Duan, Ling-Yu
;
Gao, Feng
;
Cai, Jianfei
;
Kot, Alex C.
;
Huang, Tiejun
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2015/11/10
Block-wise scale-space representation
interest point detector
Laplacian of Gaussian
scale-space
MOBILE VISUAL-SEARCH
SCALE
IMAGES
LoG acts as a good feature in the task of image quality assessment
会议论文
作者:
Mou, Xuanqin
;
Xue, Wufeng
;
Chen, Congmin
;
Zhang, Lei
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/03
Principal Component Analysis (PCA)
image quality
Laplacian of Gaussian
whitening
Hessian-log: A novel dot enhancement filter
期刊论文
ICIC Express Letters, Part B: Applications, 2012, 卷号: 6, 期号: [db:dc_citation_issue], 页码: 1987-1992
作者:
Shi, Zhenghao
;
Zhao, Minghuaf
;
Wang, Yinghui
;
He, Lifeng
;
Suzuki, Kenji
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/10
Chest radiographs
Chest radiography
Eigenvalues
Filtering method
Hessian matrices
Input image
Kernel size
Laplacian of Gaussian
Local shape
Multiple scale
Nodule detection
Hessian-LoG: A novel dot enhancement filter
期刊论文
ICIC Express Letters, 2012, 卷号: 6, 期号: [db:dc_citation_issue], 页码: 1987-1992
作者:
Shi, Zhenghao
;
Zhao, Minghua
;
Wang, Yinghui
;
He, Lifeng
;
Suzuki, Kenji
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/10
Chest radiographs
Chest radiography
Eigenvalues
Filtering method
Hessian matrices
Input image
Kernel size
Laplacian of Gaussian
Local shape
Multiple scale
Nodule detection
Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE)
会议论文
2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China
Yang L.
;
Zhang X.
;
Ren J.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2013/03/25
In the imaging process of the space remote sensing camera
there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation
the remote sensing images were restored to give prominence to the characteristic objects in the images. First
the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images
the point spread function of the imaging system was estimated. In order to improve the accuracy
the estimated point spread function was corrected with Gaussian fitting method. Finally
the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored
its variance and its gray mean gradient increased
also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration
the blur phenomenon of the images is reduced. The characters are highlighted
and the visual effect of the images is clearer. 2011 IEEE.
An Image Quality Assessment Metric Based On Non-Shift Edge
会议论文
作者:
Xue, Wufeng
;
Mou, Xuanqin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/10
Zero-crossings
Image Quality
Laplacian of Gaussian
Ratio of NSE (rNSE)
Non-shift Edge (NSE)
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