中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [1]
长春光学精密机械与物... [1]
采集方式
OAI收割 [2]
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会议论文 [1]
期刊论文 [1]
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2022 [1]
2006 [1]
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Detection of Large Herbivores in UAV Images: A New Method for Small Target Recognition in Large-Scale Images
期刊论文
OAI收割
DIVERSITY-BASEL, 2022, 卷号: 14, 期号: 8, 页码: 22
作者:
Ma, Jiarong
;
Hu, Zhuowei
;
Shao, Quanqin
;
Wang, Yongcai
;
Zhou, Yanqiong
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/09/26
HRNet
MMdetection
large herbivores
UAV remote sensing image
overlapping segmentation
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:10/0
  |  
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.