OBJECT-ORIENTED SEGMENTATION FOR MICROSCOPY IMAGES OF LUNG TISSUE

摘要：

Image segmentation is a very important process in image processing; and it plays an extremely important role in the field of image recognition, image analysis and image understanding. The quality of segmentation will directly affect the efficiency and results on identification, analysis and understanding. According to the information entropy (IE) in information theory and the theory of mathematical morphology (MM), we analyze and process the microscopy image of lung tissue. Also with the idea of object-oriented, we give a reasonable definition for the target area of image, and provide a better solution for separating the target and background in an effective way.

关键词： information entropy mathematical morphology object-oriented image segmentation lung tissue

作者: Jun Duan Shibo Zhang

作者单位: School of Information Engineering,Inner Mongolia University of Science and Technology, Baotou 014010, China

会议类型: 国际会议

会议名称: 2011 4th IEEE International Conference on Broadband Network & Multimedia Technology(第四届IEEE宽带网络与多媒体国际会议 4th IEEE IC-BNMT2011)

会议地点: 深圳

会议语种:英文

页码: 633-636

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）