机构

• 长春光学精密机械与物... [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [2]

内容类型

• 会议论文 [1]
• 期刊论文 [1]

发表日期

• 2019 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共2条，第1-2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 Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion 期刊论文  OAI收割 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 575-588 作者:  Huan Liu;  Gen-Fu Xiao;  Yun-Lan Tan;  Chun-Juan Ouyang   |  收藏  |  浏览/下载：7/0  |  提交时间：2021/02/22 Feature fusion  multi-scale circle Gaussian combined invariant moment  multi-direction gray level co-occurrence matrix  multi-source remote sensing image registration  contourlet transform.   Directional multiscale edge detection using the contourlet transform (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States 作者:  Jin L.-X.;  Han S.-L.;  Zhang R.-F. 收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25 Wavelet multiresolution analysis allows us to detect edges at different scales  also to obtain other important aspects of the extracted edges. However  due to the usual two-dimensional tensor product  wavelet transform is not optimal for representing images. The main problem in edge detection using wavelet transform is that it can only capture point-singularities  and the extracted edges are not continuous. In order to solve that problem  we propose a new image edge detection method based on the contourlet transform. The directional multiresolution representation Contourlet takes advantages of the intrinsic geometrical structure of images  and is appropriate for the analysis of the image edges. Using the modulus maxima detection  an image edge detection method based on contourlet transform is proposed. To suppress the image noise effect on edge detection  the scale multiplication in contourlet domain is also proposed. Through real images experiments  the proposed edge detection method's performance for the extracted edges is analyzed and compared with other two edge detection methods. The experiment result proves that the proposed edge detection method improves over wavelet-based techniques and Canny detector  and also works well for noisy images. 2010 IEEE.