A Hierarchical Image Segmentation Method

摘要：

Automatic detection of ductwork is very desirable to replace manual inspection. Visual method is normally employed in this area, in which a reliable segmentation of the duct image is essential. This paper presents a hierarchical coarse-to-fine image segmentation method in a noise environment. False alarms could progressively be eliminated by sequentially using Otsu’s method based on global adaptive thresholding, level set with local information and prior shape knowledge, and parameterized mathematical morphology. This approach is accurate and robust, thus can be applied in strongly noisy condition. Moreover, different defects with various shapes, such as crack, joint and hole, are segmented separately by the shape analysis and mathematical morphology, such that the geometrical features are easily extracted for automated defect detection. Experimental results validate the effectiveness and completeness of the proposed image segmentation method.

关键词： Hierarchical method image segmentation level set mathematical morphology shape analysis

作者: WANG Yongxiong SU Jianbo

作者单位: Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240 School of Electronics Info Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3696-3701

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）