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自动化研究所 [10]

北京航空航天大学 [8]

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	Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586 作者: Pusit, Prasong; Xie, Xiao-Liang; Hou, Zeng-Guang 收藏 \| 浏览/下载：12/0 \| 提交时间：2020/03/30 blood vessels medical image processing surgery image sequences video signal processing image filtering object detection X-ray imaging object tracking stroke width variation filter region detection local binary patterns guide-wire recognition conventional MSER methods maximally stable extremal regions guide-wire position anatomical skeleton contours training data X-ray video sequence percutaneous coronary intervention surgery region area range filter X-ray video monitoring guide-wire tip detection modified multifilters training templates
	Spotting micro-expressions on long videos sequences 会议论文 Lille, France, May 14, 2019 - May 18, 2019 作者: Li, Jingting; Soladié, Catherine; Séguier, Renaud; Wang, Su-Jing; Yap, Moi Hoon 收藏 \| 浏览/下载：64/0 \| 提交时间：2019/11/08 Baseline results - Cross validation - Facial movements - Feature differences - Local binary patterns - Micro-expressions - Temporal pattern - Temporal windows
	A Selection Criterion for the Optimal Resolution of Ground-Based Remote Sensing Cloud Images for Cloud Classification 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 期号: 3, 页码: 1358-1367 作者: Wang Y(王钰); Wang CH(王春恒); Shi CZ(史存召); Xiao BH(肖柏华) 收藏 \| 浏览/下载：40/0 \| 提交时间：2019/05/06 Cloud Image Classification Local Binary Patterns Resolution Selection Kullback– Leibler (Kl) Divergence
	Generalized Completed Local Binary Patterns for Time-Efficient Steel Surface Defect Classification 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 3 作者: Luo, Qiwu; Sun, Yichuang; Li, Pengcheng; Simpson, Oluyomi; Tian, Lu 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/05 Automatic optical inspection (AOI) instrument hot-rolled strips image classification local binary patterns (LBP) surface defects
	A new quality assessment for Thangka image inpainting 会议论文作者: Hu, Wenjin; Liu, Zhongmin; Ye, Yuqi 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/11/15 Image reconstruction Quality control Textures Edge intensities Image decomposition Image Inpainting Image quality assessment Local binary patterns
	Multi-View Ground-Based Cloud Recognition by Transferring Deep Visual Information 期刊论文 APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 5 作者: Zhang, Zhong; Li, Donghong; Liu, Shuang; Xiao, Baihua; Cao, Xiaozhong 收藏 \| 浏览/下载：38/0 \| 提交时间：2018/10/10 Ground-based Cloud Recognition Transfer Deep Local Binary Patterns Weighted Metric Learning Convolutional Neural Network
	Assessing Texture Features to Classify Coastal Wetland Vegetation from High Spatial Resolution Imagery Using Completed Local Binary Patterns (CLBP) 期刊论文 REMOTE SENSING, 2018, 卷号: 10, 期号: 5, 页码: 16 作者: Wang, Minye; Fei, Xianyun; Zhang, Yuanzhi; Chen, Zhou; Wang, Xiaoxue 收藏 \| 浏览/下载：9/0 \| 提交时间：2020/03/10 coastal wetland vegetation feature extraction completed local binary patterns (CLBP) object-based classification
	Source camera model identification based on convolutional neural networks with local binary patterns coding 期刊论文 SIGNAL PROCESSING-IMAGE COMMUNICATION, 2018, 卷号: 68, 页码: 162-168 作者: Wang, Bo; Yin, Jianfeng; Tan, Shunquan; Li, Yabin; Li, Ming 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/02 Camera model identification Image forensics Convolutional neural networks (CNNs) Local binary patterns (LBP)
	Exploiting global and local features for image retrieval 期刊论文 JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2018, 卷号: 25, 页码: 259-276 作者: Li Li; Feng Lin; Wu Jun; Sun Mu-xin; Liu Sheng-lan 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/02 local binary patterns hue saturation value (HSV) color space graph fusion image retrieval
	Ground-based Cloud Classification by Learning Stable Local Binary Patterns 期刊论文 Atmospheric Research, 2018, 期号: 6, 页码: 74-89 作者: Wang Y(王钰); Shi CZ(史存召); Wang CH(王春恒); Xiao BH(肖柏华) 收藏 \| 浏览/下载：33/0 \| 提交时间：2019/05/06 Local Binary Patterns Feature Selection And Extraction Texture Image Cloud Classification

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