Background Removal of Microscopy Gray-level Images

摘要：

Accurate and rapid segmentation is the base of higher level automatic image analysis system. However, the un-uniform background, which comes from the culture board in the imaging process, makes the segmentation process difficult. To decrease this disturbance, based on the max gray-level difference of the background and that of the objects in the images, this paper applies the mean shift algorithm to removing effect from the background and enhancing the contrast of the image based on histogram equalization method. The experimental results from bright-field microscopy image show the efficiency of the method.

关键词： culture board mean shift filter bright-field microscopy neural stem cell

作者: Jinmei Liu Chunhui Zhao Hongmin Wang Yingying Song

作者单位: College of science Harbin Engineering University Harbin,China Information and Communication Engineering College Harbin Engineering University Harbin,China College of Electrical and Information Engineering HeiLongjiang institude of science and technoledge

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2661-2664

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）