中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共13条,第1-10条 帮助

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Urban street tree species identification and factor interpretation model based on natural images 期刊论文  OAI收割
URBAN FORESTRY & URBAN GREENING, 2024, 卷号: 101, 页码: 10
作者:  
Li, Ziyang;  Tao, Huan;  Huai, Yongjian;  Nie, Xiaoying
  |  收藏  |  浏览/下载:7/0  |  提交时间:2025/02/06
VQAPT: A New visual question answering model for personality traits in social media images 期刊论文  OAI收割
PATTERN RECOGNITION LETTERS, 2023, 卷号: 175, 页码: 66-73
作者:  
Biswas, Kunal;  Shivakumara, Palaiahnakote;  Pal, Umapada;  Liu, Cheng-Lin;  Lu, Yue
  |  收藏  |  浏览/下载:9/0  |  提交时间:2024/02/22
Reorganization of rich-clubs in functional brain networks during propofol-induced unconsciousness and natural sleep 期刊论文  OAI收割
NEUROIMAGE-CLINICAL, 2020, 卷号: 25, 页码: 18
作者:  
Wang Shengpei;  Yun, Li
  |  收藏  |  浏览/下载:33/0  |  提交时间:2020/06/02
Adversarial image generation by combining content and style 期刊论文  OAI收割
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 14, 页码: 2716-2723
作者:  
Liu, Songyan;  Zhao, Chaoyang;  Gao, Yunze;  Wang, Jinqiao;  Tang, Ming
  |  收藏  |  浏览/下载:49/0  |  提交时间:2020/03/30
Multi-Discriminator Generative Adversarial Network for High Resolution Gray-Scale Satellite Image Colorization 会议论文  OAI收割
Valencia, Spain, 22-27 July 2018
作者:  
Li FM(李非墨);  Ma L(马雷);  Cai J(蔡健)
  |  收藏  |  浏览/下载:55/0  |  提交时间:2019/10/03
Spatial structure of neuronal receptive field in awake monkey secondary visual cortex (V2) 期刊论文  OAI收割
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 卷号: 113, 期号: 7, 页码: 1913-1918
作者:  
Liu, L;  She, L;  Chen, M;  Liu, TY;  Lu, HDD
收藏  |  浏览/下载:45/0  |  提交时间:2016/09/14
Two dimensional principal components of natural images and its application 期刊论文  OAI收割
neurocomputing, 2011, 卷号: 74, 期号: 17, 页码: 2745-2753
作者:  
Wang, Dong;  Lu, Huchuan;  Li, Xuelong
收藏  |  浏览/下载:26/0  |  提交时间:2012/06/29
Scene matching based on directional keylines and polar transform (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
Scene matching under complex background is a priority and difficulty in the field of computer vision  it has the characteristics of rotation and scaling invariance  commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes  anti-light and anti-slight-distortion  the image distortion exist  applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation  such as light  and utilize the rotation-scale-invariance vectors to describe the extracted keylines  change of gray levels  this method includes three steps: keylines extraction  perspective  description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE.  scaling and other differences  which cause matching difficult. This paper aims to find a scene matching algorithm  
An efficient color transfer algorithm for recoloring multiband night vision imagery (EI CONFERENCE) 会议论文  OAI收割
Enhanced and Synthetic Vision 2010, April 6, 2010 - April 6, 2010, Orlando, FL, United states
作者:  
Xu S.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
A color transfer method is presented to give fused multiband nighttime imagery a natural daytime color appearance in a simple and efficient way. Instead of using the traditional nonlinear l space  the proposed method transfers the color distribution of the target image (daylight color image) to the source image (fused multiband nighttime imagery) in the linear YCBCR color space. The YCBCR transformation is simpler and more suitable for image fusion compared to the l conversion. The YCBCR transformation can be extended into a general formalism. And the paper mathematically proves that  for color transfer  using color spaces conforming to this general YC BCR space framework can produce same recoloring results as using the YCBCR space. Experimental results demonstrate that the YCBCR based color transfer method works surprisingly well for transferring natural color characteristics of daylight color images to false color fused multiband nighttime imagery  and moreover  can also be successfully applied to recoloring a variety of color images. 2010 SPIE.  
Fast color-transfer-based image fusion method for merging infrared and visible images (EI CONFERENCE) 会议论文  OAI收割
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, April 7, 2010 - April 8, 2010, Orlando, FL, United states
作者:  
Xu S.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
We present a computationally efficient color image fusion algorithm for merging infrared and visible images. At the core of the proposed method is the color transfer technique based on the linear YCBCR space. The method directly uses the grayscale fused image and the difference signals of the input images to construct the source YCBCR components  then uses the statistical color transfer technique to form a color fused image that takes the target image's color characteristics. Two different strategies  which respectively employ the pixel averaging fusion scheme and the multiresolution fusion scheme as the grayscale image fusion solution  are proposed to fulfill different user needs. The simple strategy using the pixel averaging fusion scheme answers to a need of easy implementation and speed of use. And the complex strategy using the multiresolution fusion scheme answers to the high quality need of the fused products. In addition  we also describe some useful theories about color-transfer-based image fusion. Experimental results show that the proposed color image fusion algorithm can effectively produce a natural appearing "daytime-like" color fused image  and even using the pixel averaging fusion scheme to implement the grayscale fusion can also provide a pleasing result. 2010 Copyright SPIE - The International Society for Optical Engineering.