Fast Comer Detection of High Contrast Image Based on Mathematical Morphology and Curvature Scale Space

摘要：

In this paper, we propose a fast method based on mathematical morphology and Curvature Scale Space (CSS) to detect corners of the high contrast image. Firstly, we use the grayscale iteration threshold algorithm to segment the image; secondly, mathematical morphology operation is used to extract edge of the corresponding binary image; at last, we detect the corners through the CSS corner detector. The proposed method was evaluated over the escape wheel image. We compared the proposed method to other corner detector method, and the results showed that the proposed method offers a fast and effective solution.

关键词： fast corner detector mathematical morphology curvature scale space high contrast image

作者: Zhenxing Cai Zhong Wang Lin Li Yan Sun

作者单位: State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University Tianjin, China

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: 1924-1928

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）