An approach on characteristic lines extracting of gray images using moment of inertia

摘要：

A novel method on characteristic lines extracting of digital images is presented in this paper by using the moment of inertia theory, which is used to extract the characteristic lines in digital images through treating them as rigid bodies. The characteristic lines process scale and rotation invariant inherently. Experimental results manifest that using the angle difference between characteristic lines in an original image and a rotated and scale changed image. The rotation angle of this image can be calculated correctly. The characteristic line can be also used to detect the symmetry axis of a symmetry region.

关键词： moment of inertia gray image characteristic line scale and rotation invariant symmetry axis detection

作者: Nan Liang Lei Guo Ying Wang

作者单位: College of Automation Northwestern Polytechnical University Xian,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 379-382

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）