中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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An embedded infrared image enhancement system based on DSP and FPGA (EI CONFERENCE) 会议论文  OAI收割
2012 International Conference on Manufacturing Engineering and Process, ICMEP 2012, April 21, 2012 - April 22, 2012, Kunming, China
作者:  
Zhang T.
收藏  |  浏览/下载:63/0  |  提交时间:2013/03/25
According to the disadvantage of the large noises of histogram equalization algorithm  a new adaptive image enhancement algorithm is presented. First  the statistical histogram of the infrared image is done. Then the threshold of plateaus Equalization is calculated and the statistical histogram is modified. Finally the bright values of the pixels of the image are changed. An embedded high speed image enhancement processing system on high performance DSP TMS320DM642 and FPGA was designed. Experimental results with real images shown that the system can improve the contrast of the infrared image  limit the noises of the enhancement image  and effectively enhance the infrared image  the running time of the program is shorter  so it can meet the requirements of real-time in the project. (2012) Trans Tech Publications.  
Affine object recognition and affine parameters estimation based on covariant matrix (EI CONFERENCE) 会议论文  OAI收割
2008 International Symposium on Information Science and Engineering, ISISE 2008, December 20, 2008 - December 22, 2008, Shanghai, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:234/0  |  提交时间:2013/03/25
A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates  in addition  firstly  on the basis of correct recognition  we segment the object regions in them and compute their covariant matrices. Secondly  it can estimate affine parameters exactly  normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants  and the estimated error is within 3%. 2008 IEEE.  and compute the similarity function value between rotational invariants of real-time image and every template respectively. Then compare the values with threshold set in advance  if more than one value is larger than threshold  take the corresponding templates as candidates  and compute affine matrix between real-time image and every candidate. Finally  transform the realtime image with every affine matrix and match the result with corresponding candidate by classical matching methods. Experimental results show that the presented method is robust to illumination  with low computational complexity  and it can realize recognition of different affine objects  
Three dimensions of sustainability of farming practices in the North China Plain - A case study from Ningjin County of Shandong Province, PR China SCI/SSCI论文  OAI收割
2005
作者:  
Zhen L.
收藏  |  浏览/下载:44/0  |  提交时间:2012/06/08