An Adaptive Edge Detection Method for Image Polluted by Hybrid Noise in Image Measurement

摘要：

Edge detection directly affects the accuracy of image measurement. In this paper, focusing on the edge detection of the image of mechanical part polluted by hybrid noise consisting of Gaussian noise and impulse noise, an adaptive edge detection method is proposed. The proposed method combines a new hybrid filter smoothing noise adaptively with Canny operator to avoid the conflict of Canny operator between noise removing and edge locating, and uses Otsu threshold selection method to determine Dual-threshold of Canny operator adaptively. Using the gauge image polluted by hybrid noise as experiment object, the performance of the proposed method is evaluated qualitatively and quantitatively. Experimental results show that the proposed edge detection method has good performance.

关键词： Image Measurement Hybrid Noise Edge Detection Adaptive Canny Operator

作者: Beizhi Li Huajiang Chen Jianguo Yang

作者单位: College of Mechanical Engineering,Donghua University,Shanghai 201620,China

会议类型: 国际会议

会议名称: the 2011 International Conference on Key Engineering Materials(ICKEM 2011)(2011关键工程材料国际会议)

会议地点: 三亚

会议语种:英文

页码: 156-162

在线出版日期: 2011-03-25（万方平台首次上网日期，不代表论文的发表时间）