中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共8条，第1-8条

帮助

条数/页：排序方式：
	Heterogeneity induced strain localization in block-in-matrix-soils subjected to uniaxial loading using real-time CT scanning 期刊论文 OAI收割 JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2023, 卷号: 15, 期号: 8, 页码: 1951-1959 作者: Wu, Yanfang; Li, Xiao; Zhang, Luqing; Qi, Shengwen; Zhou, Jian \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2023/12/29 Image correlation algorithm Damage processing Real-time computed tomography (CT) imaging Rock block motion Uniaxial compression
	基于GPU的三维块匹配去噪并行算法研究学位论文 OAI收割工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2014 袁龙杰收藏 \| 浏览/下载：309/0 \| 提交时间：2015/09/02 图像处理 BM3D 图像处理器统一计算设备架构并行计算 image processing Block matching and 3D filtering Graphics Processing Units Compute Unified Device Architecture Parallel Computing
	Target characteristic extraction algorithm based on block structure variables (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China 作者: Zhou Y.; Yang H.; Yan F.; Yan F. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 In image processing system the target recognition is very crucial. An optimized algorithm based on the definition of block is presented. In this algorithm two structure variables are self-defined to calculate the areas and centroids of targets. The labeling conflicts are resolved by tracking and correcting which means that if there is a conflict trace the neighbored blocks and correct the labels of them. Finally the characteristics of blocks which have the same label are accumulated. This method has outstanding advantages in saving memory compared with Pixel labeling algorithm and Run-length code algorithm. The new algorithm is simple and the results of target characteristics are easy to be analyzed and handled in the following processes. 2010 IEEE.
	An image matching algorithm based on sub-block coding (EI CONFERENCE) 会议论文 OAI收割 2nd International Workshop on Computer Science and Engineering, WCSE 2009, October 28, 2009 - October 30, 2009, Qingdao, China 作者: Li S. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 In order to improve the speed of matching algorithm and simplify the processing of existing sub-block coding matching a new template matching method combined local gray value encoding matching and phase correlation is proposed. Matching process is divided into rough matching and fine matching. Rough matching divides the image into certain size blocks called R-block sums the gray value of each R-block pixel encodes the R-block according to the gray value distribution of R-block with the adjacent R-block and matches by step between the template and each search sub-image. Then fine matching results are obtained using phase correlation according to initial match parameters. The time complexity of the proposed method is (M2) .The new algorithm is faster than traditional algorithm by two orders of magnitude and the speed has improved twice compared with existing sub-block coding method. Experiments demonstrate that the new algorithm is robust to the linear transformation of pixel grey value and image noise and it also has the stability of small-angle rotation. 2009 IEEE.
	parallelization of fm-index 会议论文 OAI收割 10th IEEE International Conference on High Performance Computing and Communications, Dalian, PEOPLES R CHINA, SEP 25-27, Zhang Di; Zhang Yunquan; Liu Shengfei; Huang Xiaodi \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2011/06/13 FM-index Self-index Block processing Parallel computing Multi-core
	efficient construction of fm-index using overlapping block processing for large scale texts 会议论文 OAI收割 29th European Conference in Information Retrieval Research (ECIR 2007), Rome, ITALY, APR 02-05, Zhang Di; Zhang Yunquan; Chen Jing \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2011/06/29 FM-index self-index block processing
	Segmentation of fingerprint images using linear classifier 期刊论文 OAI收割 EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2004, 卷号: 2004, 期号: 4, 页码: 480-494 作者: Chen, XJ; Tian, J; Cheng, J; Yang, X; Tian, Jie 收藏 \| 浏览/下载：24/0 \| 提交时间：2015/09/23 fingerprint image segmentation block features linear classification image processing
	A fast BNM (Best Neighborhood Matching): Algorithm and parallel processing for image restoration 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2003, 卷号: 13, 期号: 4, 页码: 189-200 作者: Li, W; Zhang, D; Liu, ZY; Qiao, XZ \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2019/12/16 block-base coding image transmission error concealment parallel processing