中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共7条,第1-7条 帮助

条数/页: 排序方式:
A Self-Adaptive Thresholding Approach for Automatic Water Extraction Using Sentinel-1 SAR Imagery Based on OTSU Algorithm and Distance Block 期刊论文  OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 10, 页码: 2690
作者:  
Tan, Jianbo;  Tang, Yi;  Liu, Bin;  Zhao, Guang;  Mu, Yu
  |  收藏  |  浏览/下载:20/0  |  提交时间:2023/07/14
Unsupervised FISTA-Net-Based Adaptive Subtraction for Seismic Multiple Removal 期刊论文  OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 9
作者:  
Li, Zhongxiao;  Sun, Keyi;  Zeng, Tongsheng;  Ma, Jiahui;  Qi, Zhen
  |  收藏  |  浏览/下载:14/0  |  提交时间:2023/12/29
Adaptive step-size fast iterative shrinkage-thresholding algorithm and sparse-spike deconvolution 期刊论文  OAI收割
COMPUTERS & GEOSCIENCES, 2020, 卷号: 134, 页码: 12
作者:  
Pan, Shulin;  Yan, Ke;  Lan, Haiqiang;  Badal, Jose;  Qin, Ziyu
  |  收藏  |  浏览/下载:30/0  |  提交时间:2020/05/18
便携式心电监护终端动态心电检测的研究 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2012
施帆
收藏  |  浏览/下载:44/0  |  提交时间:2015/09/02
Electro-optical imaging system identification using pseudo-random binary pattern (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Le Y.; Jian W.; Jianzhong Z.; Qiang S.; Jianzhuo L.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
Adaptive Image Segmentation based on Fast Thresholding and Image Merging (EI CONFERENCE) 会议论文  OAI收割
16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006, November 29, 2006 - December 1, 2006, Hangzhou, China
作者:  
Zhang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:14/0  |  提交时间:2013/03/25
Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for adaptive image segmentation  it can be applied in many conditions  based on thresholding technique and segments merging according to their characteristics combine with spatial position. Our earlier work of getting the entire information of the histogram could help choose the multiple thresholds. However  including complex target segmented. We describe the algorithm in detail and perform simulation experiments. The computation based on pixels can fully parallel processing to save time. 2006 IEEE.  not all the peaks of the histogram correspond to obvious structural unit in the image. Spatial information must be involved. This paper also suggests subjoining segments matching for video image tracking. They will give great help to image segmentation. The proposed algorithm can meet the real-time requirement and lead to higher segmentation accuracy  some types of texture can also be segmented well  
Thresholding technique with adaptive window selection for uneven lighting image 期刊论文  iSwitch采集
Pattern recognition letters, 2005, 卷号: 26, 期号: 6, 页码: 801-808
作者:  
Huang, QM;  Gao, W;  Cai, WJ
收藏  |  浏览/下载:24/0  |  提交时间:2019/05/10