中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
长春光学精密机械与物... [2]
地理科学与资源研究所 [1]
采集方式
OAI收割 [3]
内容类型
会议论文 [2]
SCI/SSCI论文 [1]
发表日期
2015 [1]
2012 [1]
2010 [1]
学科主题
筛选
浏览/检索结果:
共3条,第1-3条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
作者升序
作者降序
Poor vision among China's rural primary school students: Prevalence, correlates and consequences
SCI/SSCI论文
OAI收割
2015
作者:
Yi H. M.
;
Zhang, L. X.
;
Ma, X. C.
;
Congdon, N.
;
Shi, Y. J.
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2015/12/09
Rural China
Poor vision
Children
Academic performance
Mental health
uncorrected refractive error
quality-of-life
visual impairment
southern china
merger program
aged children
eye diseases
risk-factors
unmet need
myopia
Image matching combine SIFT with regional SSDA (EI CONFERENCE)
会议论文
OAI收割
2012 International Conference on Control Engineering and Communication Technology, ICCECT 2012, December 7, 2012 - December 9, 2012, Shenyang, Liaoning, China
作者:
Liu J.
;
Liu J.
;
Liu J.
;
Zhao J.
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2013/03/25
Image matching is at the base of many computer vision problems
such as object recognition or image stitching. Standard SIFT provides poor performance when images under viewpoint change conditions and with similar corners. Hence
we propose a matching algorithm combine regional SSDA with simplified SIFT algorithm. We demonstrate through experiments that our algorithm yields better performance in images of viewpoint change and similar feature points. Besides
the simplified algorithm cut down about half the time was originally needed in our tested images. 2012 IEEE.
Real-time defogging processing of aerial images (EI CONFERENCE)
会议论文
OAI收割
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
作者:
Liu G.
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2013/03/25
A real-time image defogging processing method based on FPGA is proposed to increase low-contrast of the aerial images in foggy vision conditions. According to the high similarity of the contiguous frame histogram in video image
the histogram equalization algorithm is improved to enhance the image contrast. The median filter algorithm is used to eliminate the noise of the image. The experimental results demonstrate that the method can efficiently enhance the contrast
strengthen the detail and clarify definition for the fog-degraded aerial images. The visibility limit of the images has been increased to a time above. Simultaneously the method satisfies the real-time processing requirement of aerial video images
which has direct applications to the problem of poor visibility conditions. 2010 IEEE.