Ceramic Microstructure Image Segmentation Based on Mean Shift Method

摘要：

In order to effectively assist the researchers conduct quantitative analysis of ceramic microstructures, a segmentation algorithm based on mean shift is used for the ceramic microstructure image. Since the collection and transfer process of microscopic image will inevitably be subject to uneven distribution of light, electronic noise and other interference factors which make the image quality deterioration, it is necessary to reduce noises and enhance edges for ceramic microscopic image processing at first. Therefore, the median filter is used to remove the noises in the ceramic microstructure images. Then the component with similar feature is separated and merged by the mean shift segmentation algorithm. Experiments show the proposed algorithm of using median filter and mean shift clustering gives satisfactory results.

关键词： Ceramic Microstructure Median Filter Image Segmentation Mean Shift

作者: Cai Huahui Cheng Yan

作者单位: School of Information Engineering Jingdezhen Ceramic Institute Jingdezhen, Jiangxi Province, China School of Art & Design Jingdezhen Ceramic Institute Jingdezhen, Jiangxi Province, China

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 609-611

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）