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浏览/检索结果: 共3条，第1-3条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序作者升序作者降序提交时间升序提交时间降序题名升序题名降序 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 收藏  |  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. 收藏  |  浏览/下载：31/0  |  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. 收藏  |  浏览/下载：11/0  |  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.