中国科学院机构知识库网格系统: 检索

Assessment of the urban habitat quality service functions and their drivers based on the fusion module of graph attention network and residual network 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 29
作者: Wang, Chunyang; Yang, Kui; Yang, Wei; Li, Runkui; Qiang, Haiyang

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收藏 | 浏览/下载：65/0 | 提交时间：2024/02/19

Residual network graph attention network super-pixel segmentation habitat quality driving force analysis

Baselines Extraction from Curved Document Images via Slope Fields Recovery 期刊论文 OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 793-808
作者: Meng, Gaofeng; Pan, Chunhong; Xiang, Shiming; Wu, Ying

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收藏 | 浏览/下载：39/0 | 提交时间：2020/06/02

Estimation Image segmentation Layout Distortion Strips Image quality Degradation Document image processing curved baselines extraction slope fields recovery geometric distortion rectification

Context propagation embedding network for weakly supervised semantic segmentation 期刊论文 OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 页码: 18
作者: Xu, Yajun; Mao, Zhendong; Chen, Zhineng; Wen, Xin; Li, Yangyang

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收藏 | 浏览/下载：29/0 | 提交时间：2020/06/02

Weakly supervised Semantic segmentation Context propagation High-quality visual cues

Real-time segmentation of various insulators using generative adversarial networks 期刊论文 OAI收割
IET COMPUTER VISION, 2018, 卷号: 12, 期号: 5, 页码: 596-602
作者: Chang, Wenkai; Yang, Guodong; Yu, Junzhi; Liang, Zize

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收藏 | 浏览/下载：57/0 | 提交时间：2019/12/16

image segmentation insulators neural nets power engineering computing real-time pixel-level segmentation generative adversarial networks insulator segmentation algorithm cluttered background artificial thresholds compact end-to-end neural network visual saliency map proposed two-stage training segmentation quality

Dual-wavelength retinal images denoising algorithm for improving the accuracy of oxygen saturation calculation 期刊论文 OAI收割
Journal of Biomedical Optics, 2017, 卷号: 22, 期号: 1, 页码: 016004
作者: Xian, Yong-Li; Dai, Yun; Gao, Chun-Ming; Du, Rui

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收藏 | 浏览/下载：61/0 | 提交时间：2018/11/20

Gaussian noise (electronic) - Hemoglobin oxygen saturation - Image analysis - Image matching - Image processing - Image segmentation - Ophthalmology - Optical data processing - Quality control - Sulfur dioxide

Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles 会议论文 OAI收割
San Diego, USA, 2016-2
作者: Li, Ke; Ye, Chuyang; Yang, Zhen; Carass, Aaron; Ying, Sarah

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收藏 | 浏览/下载：26/0 | 提交时间：2016/10/13

Quality Assurance Segmentation Cerebellar Peduncles Outlier Detection Box-whisker Plot Classification

A Temporal-Spatial Iteration Method to Reconstruct NDVI Time Series Datasets SCI/SSCI论文 OAI收割
2015
作者: Xu L. L.; Li, B. L.; Yuan, Y. C.; Gao, X. Z.; Zhang, T.

收藏 | 浏览/下载：26/0 | 提交时间：2015/12/09

modis ndvi vegetation dynamics cover quality segmentation reflectance extraction regression landsat africa

Quality assessment of building roof segmentation from Airborne LIDAR data 会议论文 OAI收割
2013 21st International Conference on Geoinformatics, Geoinformatics 2013,, Kai Feng, China, June 20, 2013 - June 22,2013
Li, Jing; Xiao, Yong; Wang, Cheng

收藏 | 浏览/下载：22/0 | 提交时间：2014/12/07

Image segmentation Buildings Optical radar Quality control Roofs

A simple and fast moving object segmentation based on H.264 compressed domain information (EI CONFERENCE) 会议论文 OAI收割
4th International Conference on Computational and Information Sciences, ICCIS 2012, August 17, 2012 - August 19, 2012, Chongqing, China
作者: Chen X.; Chen X.; Chen X.; Sun L.

收藏 | 浏览/下载：15/0 | 提交时间：2013/03/25

The paper presents a simple and fast approach for moving object segmentation based on H.264 compressed domain information for the application of indoor video surveillance with static camera. Due to the characteristics of indoor video surveillance the proposed method of segmentation avoids complicated background model like Gaussian Mixture background model. On the contrary it chooses some simple information like the type of Macroblock etc.. Experimental results of several specific H.264 compressed video sequences demonstrate the good segmentation quality of the proposed approach. 2012 IEEE.

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：78/0 | 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.