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基于文献计量方法的国内外城市更新比较研究 期刊论文  OAI收割
地理科学, 2020, 卷号: 40, 期号: 8, 页码: 1300
作者:  
孙威;  王晓楠;  盛科荣
  |  收藏  |  浏览/下载:64/0  |  提交时间:2021/03/16
基于文献计量方法的国内外城市更新比较研究 期刊论文  OAI收割
地理科学, 2020, 卷号: 40, 期号: 8, 页码: 1300
作者:  
孙威;  王晓楠;  盛科荣
  |  收藏  |  浏览/下载:11/0  |  提交时间:2021/03/16
QTL Fine Mapping for Sex Determination Region in Bighead Carp (Hypophthalmichthys nobilis) and Comparison with Silver Carp (Hypophthalmichthys molitrix) 期刊论文  OAI收割
MARINE BIOTECHNOLOGY, 2019, 期号: 1, 页码: 13
作者:  
Zhou, Ying;  Liu, Haiyang;  Wang, Xinhua;  Fu, Beide;  Yu, Xiaomu
  |  收藏  |  浏览/下载:38/0  |  提交时间:2020/04/07
Comparative mapping for bighead carp (Aristichthys nobilis) against model and non-model fishes provides insights into the genomic evolution of cyprinids 期刊论文  OAI收割
MOLECULAR GENETICS AND GENOMICS, 2015, 卷号: 290, 期号: 4, 页码: 1313-1326
作者:  
Zhu, Chuankun;  Tong, Jingou;  Yu, Xiaomu;  Guo, Wenjie
收藏  |  浏览/下载:29/0  |  提交时间:2015/09/28
A line mapping based automatic registration algorithm of infrared and visible images 会议论文  OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:  
Ai R(艾锐);  Shi ZL(史泽林);  Xu DJ(徐德江);  Zhang CS(张程硕)
收藏  |  浏览/下载:36/0  |  提交时间:2013/12/26
There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.  
Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.; Wang M.-J.; Han G.-L.
收藏  |  浏览/下载:77/0  |  提交时间:2013/03/25
Being an efficient method of information fusion  image fusion has been used in many fields such as machine vision  medical diagnosis  military applications and remote sensing.In this paper  Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing  including segmentation  target recognition et al.  and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First  the two original images are decomposed by wavelet transform. Then  based on the PCNN  a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength  so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So  the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment  the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range  which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore  by this algorithm  the threshold adjusting constant is estimated by appointed iteration number. Furthermore  In order to sufficient reflect order of the firing time  the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved  each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules  the experiments upon Multi-focus image are done. Moreover  comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.  
Prospectives for applying molecular and genetic methodology to improve wheat cultivars in drought environments 期刊论文  OAI收割
COMPTES RENDUS BIOLOGIES, 2008, 卷号: 331, 期号: 8, 页码: 579-586
Zhao Chang-Xing; Guo Ling-Yu; Jaleel, Cheruth Abdul; Shao Hong-Bo; Yang Hong-Bing
收藏  |  浏览/下载:32/0  |  提交时间:2015/08/20
Radiation hybrid comparative mapping between human chromosome 17 and porcine chromosome 12 demonstrates conservation of gene order 期刊论文  OAI收割
ANIMAL GENETICS, 2001, 卷号: 32, 期号: 4, 页码: 205-209
作者:  
Shi XW;  Fitzsimmons CJ;  Green JA;  Tuggle CK[*];  Genet C
收藏  |  浏览/下载:15/0  |  提交时间:2016/11/10
Reciprocal chromosome painting illuminates the history of genome evolution of the domestic cat, dog and human 期刊论文  OAI收割
CHROMOSOME RESEARCH, 2000, 卷号: 8, 期号: 5, 页码: 393-404
作者:  
Yang FT;  Graphodatsky AS;  O'Brien PCM;  Colabella A;  Solanky N
收藏  |  浏览/下载:13/0  |  提交时间:2010/08/24