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基于形态学的微目标的图像分割
引用本文:刘云如,郭竑辉. 基于形态学的微目标的图像分割[J]. 湖南人文科技学院学报, 2005, 0(5): 82-84
作者姓名:刘云如  郭竑辉
作者单位:湖南人文科技学院计算机系,湖南,娄底,417000;湖南益阳职业技术学院计算机系,湖南,益阳,413046
摘    要:提出了一种适于高分辨率可见微目标图像的分割算法,首先通过形态学运算强化微目标区域,利用阈值化分割并提取这些感兴趣区域;然后运用小波多尺度算子检测这些区域的边缘;最后再次采用形态学运算以获取目标区域边缘。仿真结果表明该方法能有效地将图像中的具有特定结构的微目标区域分割开来。

关 键 词:数学形态学  图像分割  多尺度边缘检测
文章编号:1673-0712(2005)05-0082-03
修稿时间:2005-09-29

The Segmentation Algorithm for Small Object Based on Morphology
LIU Yun-ru,GUO Hong-hui. The Segmentation Algorithm for Small Object Based on Morphology[J]. Journal of Hunan Institute of Humanities,Science and Technology, 2005, 0(5): 82-84
Authors:LIU Yun-ru  GUO Hong-hui
Affiliation:LIU Yun-ru~1,GUO Hong-hui~2
Abstract:A segmentation algorithm which is suitable for high resolution visible small object images is presented.Firstly,small object region is intensified by morphologic operation,and these regions which are interesting are partitioned and selected by setting threshold value;then the edge of these regions is detected by the wavelet multi-scale yardstick algorithm operators.At last,the edge of objective regions is got by utilizing morphological operation again.The simulation results show that it is able to segment small special objects effectively.
Keywords:mathematical morphology  image megmentation  much yardstick edge detection
本文献已被 CNKI 万方数据 等数据库收录!
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