CORC

在结果中检索

CORC

浏览/检索结果: 共10条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Attention CoupleNet: Fully Convolutional Attention Coupling Network for Object Detection 期刊论文
IEEE Transactions on Image Processing, 2019, 卷号: 28, 期号: 1, 页码: 113 - 126
作者:  Zhu Yousong;  Zhao Chaoyang;  Guo Haiyun;  Wang Jinqiao;  Zhao Xu
收藏  |  浏览/下载：222/0  |  提交时间：2019/05/04
LG-CNN: From local parts to global discrimination for fine-grained recognition 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 71, 期号: 71, 页码: 118-131
作者:  Xie, Guo-Sen;  Zhang, Xu-Yao;  Yang, Wenhan;  Xu, Mingliang;  Yan, Shuicheng
收藏  |  浏览/下载：24/0  |  提交时间：2018/01/16
福建奔驰国产零件供应商风险管理对策研究 学位论文
2015, 2015
施龙
收藏  |  浏览/下载：2/0  |  提交时间：2016/02/23
Local variance based color image quality assessment method (EI CONFERENCE) 会议论文
2011 2nd International Conference on Advanced Measurement and Test, AMT 2011, June 24, 2011 - June 26, 2011, Nanchang, China
Wang Y.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
Human-wildlife conflicts influence attitudes but not necessarily behaviors: Factors driving the poaching of bears in China 期刊论文
生物保护, 2011
Liu, Fang; McShea, William J.; Garshelis, David L.; Zhu, Xiaojian; Wang, Dajun; Shao, Liangkun
收藏  |  浏览/下载：5/0  |  提交时间：2015/11/10
局部热暴露对人体热反应的影响研究(2):不均匀热环境的评价 期刊论文
2010, 2010
张宇峰; 赵荣义; Zhang Yufeng; Zhao Rongyi
收藏  |  浏览/下载：3/0
Quaternion based assessment method for color image fusion algorithms (EI CONFERENCE) 会议论文
2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China
Pang H.; Zhu M.; Wang Y.
收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25
A new approach to assess the performance of color image fusion algorithms is proposed. The color information is fully used by this method. Quaternions are used to encode the pixels in a color image into a quaternion matrix. Local variance of the luminance layer of the color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of a quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to one of the source image and the fused image is used to measure their structural similarity. Edge information transferring is used to balance the sensitivity of the assessment methods. Experimental results show that the proposed assessment method is better consistent with the HVS than some of the state-of-the-art method. Accurate assessment results can be given by the proposed method for various of color image fusion algorithms by using the source images and the fused image. 2010 IEEE.  
Color image quality assessment based on quaternion representation for the local variance distribution of RGB Channels (EI CONFERENCE) 会议论文
2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China
Yuqing W.; Ming Z.
收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25
In this paper  Quaternions are used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is reinforced by using local variance. It encodes the local variance distribution of the RGB channels of a color image into the three imaginary parts of a quaternion. The luminance layer of the color image is taken as the real part of the quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The final assessment result is calculated by using the mid point of the distances. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods. 2009 IEEE.  
Assessment of color image fusion algorithms based on quaternion singular value decomposition (EI CONFERENCE) 会议论文
MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009, Yichang, China
Wang Y.; Zhu M.; Pang H.; Wang Y.
收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25
In this paper  a new approach to objectively assess the performance of image fusion algorithms is proposed. It is based on the quaternion representation for the structural information of color images. Quaternions are used to encode the pixels of a color image into a quaternion matrix. Local variance of the luminance layer of color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to the source image and the fused image is used to measure the structural similarity of them. Different weight is given to the source images by using variance. The experiment results show that the proposed assessment method is consistent with the HVS. The color information of a color image can be fully used by this method. It can give an accurate assessment result for each fusion algorithm by using the source images and the fused image. 2009 Copyright SPIE - The International Society for Optical Engineering.  
Color image quality assessment based on quaternion singular value decomposition (EI CONFERENCE) 会议论文
1st International Congress on Image and Signal Processing, CISP 2008, May 27, 2008 - May 30, 2008, Sanya, Hainan, China
Wang Y.; Liu W.; Wang Y.
收藏  |  浏览/下载：11/0  |  提交时间：2013/03/25
An effective assessment method for color image is proposed. It is based on the quaternion description for the structural information of color image. The local variance of the luminance layer of color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices correspond to the reference image and the distorted image is used to measure the structural similarity of the two images. Results from experiments show that the proposed method is better consistent with the human visual characteristics than MSE  PSNR and SSIM. The images whose size is different from that of the reference image can also be assessed by this method. 2008 IEEE.  

©版权所有 ©2017 CSpace - Powered by CSpace