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浏览/检索结果: 共7条,第1-7条 帮助

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Multi-Window Local Region Contrast Adjustment and Region Growing for Retinal Vessel Segmentation 期刊论文  OAI收割
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2018, 卷号: 8, 期号: 8, 页码: 1554-1565
作者:  
Wang, Weihua;  Wang, Weiqing;  Wu, Wenyuan;  Zhang, Jingzhong
  |  收藏  |  浏览/下载:77/0  |  提交时间:2018/12/13
Phase-retrieval-based synchrotron X-ray micro-tomography for 3D structural characterization and quantitative analysis of agalloch eaglewood 期刊论文  OAI收割
WOOD SCIENCE AND TECHNOLOGY, 2018, 卷号: 52, 期号: 3, 页码: 839-854
作者:  
Liu, HQ;  Lin, FH;  Lin, JH;  Sulaiman, K;  Xiao, TQ
  |  收藏  |  浏览/下载:29/0  |  提交时间:2018/09/06
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
Robust phase-retrieval-based X-ray tomography for morphological assessment of early hepatic echinococcosis infection in rats 期刊论文  OAI收割
PLOS ONE, 2017, 卷号: 12, 期号: 9, 页码: -
作者:  
Liu, HQ;  Zhang, CS;  Fan, XX;  Duan, YN;  Xiao, TQ
  |  收藏  |  浏览/下载:41/0  |  提交时间:2018/08/30
Visual Saliency Detection Based on Region Contrast and Guided Filter 会议论文  OAI收割
N China Univ Technol, Beijing, PEOPLES R CHINA, 2017-09-08
作者:  
Liu, Liqiang;  Cao, Jianzhong;  Niu, Yuefeng;  Guo, Huinan;  Liu, LQ (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China.
  |  收藏  |  浏览/下载:29/0  |  提交时间:2018/03/23
Technical Note: Synchrotron-based high-energy x-ray phase sensitive microtomography for biomedical research 期刊论文  OAI收割
MEDICAL PHYSICS, 2015, 卷号: 42, 期号: 10, 页码: 5595—5603
作者:  
Liu, HQ;  Wu, XZ;  Xiao, TQ
收藏  |  浏览/下载:28/0  |  提交时间:2016/03/04
PSO based gabor wavelet feature extraction method (EI CONFERENCE) 会议论文  OAI收割
2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China
作者:  
Sun H.;  Zhang Y.;  Sun H.
收藏  |  浏览/下载:19/0  |  提交时间:2013/03/25
In this paper  the time of feature extraction is faster. By test in low contrast image  2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation  the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE.  orientation  and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space  we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm  it can ensure reliable convergence the target  which can improve convergent speed