Anisotropic Diffusion with Edge Projection

摘要：

In image processing, anisotropic diffusion provides a forward method to remove noise while preserving edges accurate and sharp. However, due to the inappropriate edge estimation by gradient, some isolated noise points still exist and edge location is inaccurate. In this representation, isolated noise points and edges are distinguished by the significant difference of their lengths , which are computed by orthogonally projecting their pixels to the corresponding normalized gradient directions and recording the number of the same projections. Combining gradient and length to estimate edges, isolated noise points are further suppressed while edges are re-located and enhanced.

关键词： anisotropic diffusion noise smoothing while edge preserving Kitsch operator orthogonal projection

作者: GANG QIAO WEI ZHANG SEI-ICHIRO KAMATA

作者单位: Research Institute of Electronic Science and Technology UESTC Chengdu, China Graduate School of Info Research Institute of Electronic Science and Technology UESTC Chengdu, China Graduate School of Information, Production and System Waseda University Kitakyushu, Japan

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 680-682

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）