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长春光学精密机械与物... [2]
武汉大学 [1]
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会议论文 [2]
期刊论文 [1]
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2018 [1]
2012 [1]
2006 [1]
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Transferability of Conceptual Hydrological Models Across Temporal Resolutions: Approach and Application
期刊论文
WATER RESOURCES MANAGEMENT, 2018, 卷号: 32, 期号: 4
作者:
Jie, Meng-Xuan
;
Chen, Hua
;
Xu, Chong-Yu
;
Zeng, Qiang
;
Chen, Jie
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
Temporal resolution
Posteriordistribution
Transformationfunctions
Transformed parameters
Model performance
Uncertainty
Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE)
会议论文
2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico
Ding N.
;
Liu Y.
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浏览/下载:31/0
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提交时间:2013/03/25
Image registration is a key technique in pattern recognition and image processing
and it is widely used in many application areas such as computer vision
remote sensing
image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly
feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then
pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then
the well match points are used to estimate the best affine transform parameters by least squares minimization. At last
the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.
A new algorithm of image segmentation for overlapping grain image (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Zhang X.
;
Jin G.
;
Sun X.
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浏览/下载:11/0
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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.
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