机构

• 计算技术研究所 [1]
• 长春光学精密机械与物... [1]
• 昆明植物研究所 [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [2]
• 期刊论文 [2]

发表日期

• 2018 [1]
• 2016 [1]
• 2007 [1]
• 2006 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 1, 页码: 151-163 作者:  Wang, Wen;  Wang, Ruiping;  Huang, Zhiwu;  Shan, Shiguang;  Chen, Xilin   |  收藏  |  浏览/下载：33/0  |  提交时间：2019/12/12 Statistical manifold  kernel discriminative learning  graph embedding  gaussian distribution   GMATA: An Integrated Software Package for Genome-Scale SSR Mining, Marker Development and VIewing 期刊论文  OAI收割 FRONTIERS IN PLANT SCIENCE, 2016, 卷号: 7 作者:  Wang, Xuewen;  Wang, Le 收藏  |  浏览/下载：59/0  |  提交时间：2016/11/04 SSR software  marker polymorphism and transferability  statistical graph  Gbrowser display  grass genome SSR pattern   Image Annotation Refinement using NSC-Based Word Correlation 会议论文  OAI收割 Beijing, China, July 2-5, 2007 作者:  Jing Liu;  Mingjing Li;  Qingshan Liu;  Hanqing Lu;  Songde Ma   |  收藏  |  浏览/下载：27/0  |  提交时间：2017/02/20 Internet  Graph Theory  Image Retrieval  Corel Dataset  Nsc-based Word Correlation  Automatic Image Annotation  Candidate Annotations  Image Annotation Refinement  Nearest Spanning Chains  Synonymy Relationship  Untagged Image  Word Co-occurrence Information  Word Correlation Estimation  Word-based Graph  Asia  Automation  Data Mining  Explosions  Information Retrieval  Internet  Organizing  Statistical Distributions  Thesauri  Training Data   A new algorithm of image segmentation for overlapping grain image (EI CONFERENCE) 会议论文  OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者:  Zhang X.;  Zhang X.;  Zhang X. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 Image segmentation is primary issue in image processing  at the same time it is principal problem in low level vision in computer vision field. It is the key technology to process image analysis  image comprehend and image depict successfully. Aim at measurement of granularity size of nonmetal grain  a new algorithm of image segmentation and parameters calculation for overlapping grain image is studied. The hypostasis of this algorithm is present some new attributes of graph sequence from discrete attribute of graph  consequently achieve that pick up the geometrical characteristics from input graph  and new graph sequence which in favor of image segmentation is recombined. The conception that image edge denoted with "twin-point" is put forward  base on geometrical characters of point  image edge is transformed into serial edge  and on recombined serial image edge  based on direction vector definition of line and some additional restricted conditions  the segmentation twin-points are searched with  thus image segmentation is accomplished. Serial image edge is transformed into twin-point pattern  to realize calculation of area and granularity size of nonmetal grain. The inkling and uncertainty on selection of structure element which base on mathematical morphology are avoided in this algorithm  and image segmentation and parameters calculation are realized without changing grain's self statistical characters.