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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [3]
地理科学与资源研究所 [1]
采集方式
OAI收割 [4]
内容类型
会议论文 [3]
SCI/SSCI论文 [1]
发表日期
2014 [1]
2012 [1]
2010 [1]
2006 [1]
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Intensity of dust storms in China from 1980 to 2007: A new definition
SCI/SSCI论文
OAI收割
2014
Tan M. H.
;
Li X. B.
;
Xin L. J.
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2014/12/24
Frequency
DSI
New definition
China
long-range transport
regional characteristics
eastern australia
frequency
climate
mongolia
ecology
events
impact
policy
A new low-bandwidth and wireless transmission scheme for CCd image (EI CONFERENCE)
会议论文
OAI收割
2012 International Symposium on Photonics and Optoelectronics, SOPO 2012, May 21, 2012 - May 23, 2012, Shanghai, China
作者:
Zhang Y.
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2013/03/25
The CCD (Charge-coupled Device) image sensor with its high resolution is capable of providing high definition image. However
transmission requires high bandwidth
which makes it very difficult to process and transmit in a long distance. The purpose of this paper is to propose a new method to process and transmit CCD image
which can guarantee a low-bandwidth and long-distance data transmission. The innovation is that the transmission content of CCD image data can be flexibly selected and compressed firstly
which will reduce the transmission data. Then it is processed on the base of communication protocol so that it can be fit for wireless transmission. At last
it is transformed into wireless signal and transmitted using 3G technology. As a result
the paper presents a wireless transmission scheme with the rate of 1.5Mbps for CCD image. 2012 IEEE.
Target characteristic extraction algorithm based on block structure variables (EI CONFERENCE)
会议论文
OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
作者:
Zhou Y.
;
Yang H.
;
Yan F.
;
Yan F.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
In image processing system
the target recognition is very crucial. An optimized algorithm based on the definition of block is presented. In this algorithm
two structure variables are self-defined to calculate the areas and centroids of targets. The labeling conflicts are resolved by tracking and correcting
which means that if there is a conflict
trace the neighbored blocks and correct the labels of them. Finally
the characteristics of blocks
which have the same label
are accumulated. This method has outstanding advantages in saving memory
compared with Pixel labeling algorithm and Run-length code algorithm. The new algorithm is simple and the results of target characteristics are easy to be analyzed and handled in the following processes. 2010 IEEE.
A new algorithm of image segmentation for overlapping grain image (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Zhang X.
;
Zhang X.
;
Zhang X.
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2013/03/25
Image segmentation is primary issue in image processing
at the same time it is principal problem in low level vision in computer vision field. It is the key technology to process image analysis
image comprehend and image depict successfully. Aim at measurement of granularity size of nonmetal grain
a new algorithm of image segmentation and parameters calculation for overlapping grain image is studied. The hypostasis of this algorithm is present some new attributes of graph sequence from discrete attribute of graph
consequently achieve that pick up the geometrical characteristics from input graph
and new graph sequence which in favor of image segmentation is recombined. The conception that image edge denoted with "twin-point" is put forward
base on geometrical characters of point
image edge is transformed into serial edge
and on recombined serial image edge
based on direction vector definition of line and some additional restricted conditions
the segmentation twin-points are searched with
thus image segmentation is accomplished. Serial image edge is transformed into twin-point pattern
to realize calculation of area and granularity size of nonmetal grain. The inkling and uncertainty on selection of structure element which base on mathematical morphology are avoided in this algorithm
and image segmentation and parameters calculation are realized without changing grain's self statistical characters.