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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [3]
长春光学精密机械与物... [2]
云南天文台 [2]
光电技术研究所 [1]
中国科学院大学 [1]
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OAI收割 [9]
iSwitch采集 [1]
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会议论文 [6]
期刊论文 [3]
SCI/SSCI论文 [1]
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2020 [2]
2018 [1]
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Dynamics and Drivers of the Alpine Timberline on Gongga Mountain of Tibetan Plateau-Adopted from the Otsu Method on Google Earth Engine
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 16, 页码: 20
作者:
He, Wen
;
Ye, Chongchong
;
Sun, Jian
;
Xiong, Junnan
;
Wang, Jinniu
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/03/18
alpine timberline
timberline dynamics
Otsu method
Google Earth engine
Gongga Mountain
Dynamics and Drivers of the Alpine Timberline on Gongga Mountain of Tibetan Plateau-Adopted from the Otsu Method on Google Earth Engine
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 16, 页码: 20
作者:
He, Wen
;
Ye, Chongchong
;
Sun, Jian
;
Xiong, Junnan
;
Wang, Jinniu
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/03/18
alpine timberline
timberline dynamics
Otsu method
Google Earth engine
Gongga Mountain
Telescope images segmentation with OTSU method
会议论文
OAI收割
Chengdu, PEOPLES R CHINAChengdu, PEOPLES R CHINA, JUN 26-29, 2018JUN 26-29, 2018
作者:
Li, Min
;
Zhang, Ang
;
Xian, Hao
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/08/23
telescope images
image segmentation
OTSU method
anti-noise capability
Automatic segmentation of solar granulations based on Morphology technique
会议论文
OAI收割
2014 11th World Congress on Intelligent Control and Automation, WCICA 2014, Shenyang, China, 2014-06-29
作者:
Deng LH(邓林华)
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2016/04/06
watershed transform
granules
morphological reconstruction
image processing
Otsu's method
Automatic segmentation of granules of the solar photosphere using morphological reconstruction and watershed transform
会议论文
OAI收割
6th International Conference on Intelligent Networks and Intelligent Systems (ICINIS), Shenyang Inst Engn, Shenyang, PEOPLES R CHINA, 2013-11-01
作者:
Feng, Song
;
Xu Z(徐稚)
;
Deng LH(邓林华)
;
Yang, Yunfei
;
Ji, Kaifan
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2016/04/06
granules
morphological reconstruction
image processing
Otsu's method
watershed transform
An adaptive edge detection method based on Canny operator (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Civil Engineering and Building Materials, CEBM 2011, July 29, 2011 - July 31, 2011, Kunming, China
作者:
Chen Y.
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2013/03/25
This paper proposes an adaptive Canny operator edge detection algorithm. The proposed method can automatically set the threshold value according to the different image gray-scale gradient histogram adaptively and improve the performance in the detail edge detection and good localization. Experiments show that this method produces better edge detection results performance than the Otsu method. Besides our method
Roberts operator
Prewitt operator
Sobel operator
Log operator and Canny operator based on Otsu algorithm are also tested for comparisons. (2011) Trans Tech Publications
Switzerland.
Object-oriented urban dynamic monitoring - a case study of haidian distirict of beijing
期刊论文
iSwitch采集
Chinese geographical science, 2007, 卷号: 17, 期号: 3, 页码: 236-242
作者:
An Kai
;
Zhang Jinshui
;
Xiao Yu
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/05/10
Urban change detection
Object-oriented method
Remote sensing
Land use/cover
Otsu method
Object-oriented urban dynamic monitoring - A case study of Haidian distirict of Beijing
SCI/SSCI论文
OAI收割
2007
作者:
Xiao Y.
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2012/06/08
urban change detection
object-oriented method
remote sensing
land
use/cover
Otsu method
change-vector analysis
High-accuracy real-time automatic thresholding for centroid tracker (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Zhang Y.
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2013/03/25
Many of the video image trackers today use the centroid as the tracking point. In engineering
we can get several key pairs of peaks which can include the target and the background around it and use the method of Otsu to get intensity thresholds from them. According to the thresholds
it give a great help for us to get a glancing size
a target's centroid is computed from a binary image to reduce the processing time. Hence thresholding of gray level image to binary image is a decisive step in centroid tracking. How to choose the feat thresholds in clutter is still an intractability problem unsolved today. This paper introduces a high-accuracy real-time automatic thresholding method for centroid tracker. It works well for variety types of target tracking in clutter. The core of this method is to get the entire information contained in the histogram
we can gain the binary image and get the centroid from it. To track the target
so that we can compare the size of the object in the current frame with the former. If the change is little
such as the number of the peaks
the paper also suggests subjoining an eyeshot-window
we consider the object has been tracked well. Otherwise
their height
just like our eyes focus on a target
if the change is bigger than usual
position and other properties in the histogram. Combine with this histogram analysis
we will not miss it unless it is out of our eyeshot
we should analyze the inflection in the histogram to find out what happened to the object. In general
the impression will help us to extract the target in clutter and track it and we will wait its emergence since it has been covered. To obtain the impression
what we have to do is turning the analysis into codes for the tracker to determine a feat threshold. The paper will show the steps in detail. The paper also discusses the hardware architecture which can meet the speed requirement.
the paper offers a idea comes from the method of Snakes
The Method for Calculating Weak Contrast Schlieren Sphere Center in Integrated Diagnostic Fast Automatic Collimation System
会议论文
OAI收割
Shenyang, China, 2019-09-28
作者:
Zhengzhou WANG
;
Meng TAN
;
Li WANG
;
Qing WANG
;
Jitong WEI
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/01/04
Integrated Diagnostic System,
Weak Contrast
Schlieren Method
Spot Recognition
Grey Level Transform
Otsu