期刊
MULTIMEDIA TOOLS AND APPLICATIONS
卷 76, 期 19, 页码 19781-19793出版社
SPRINGER
DOI: 10.1007/s11042-015-3192-2
关键词
Morphological reconstruction; Watershed transformation; Image segmentation; Top-bottom hat transformation; Marker shaping
类别
资金
- Natural Science Foundation of China [61134006, 61273169, 61273159]
- Shaoyang Science and technology of China [2015JH40]
- Hunan Province Science Foundation of China
Image segmentation is a key step in linking up of image processing and image analysis and a big problem in computer vision. Morphological reconstruction is an important method of image edge segmentation. Watershed transformation is a widely used image segmentation tool base on morphological reconstruction. The traditional watershed transformation method was poor in divide objects in different size because single threshold value can't eliminate noises in large object on top and enhance the edges of small object simultaneously. This paper proposed an improved image segmentation method based on morphological reconstruction. Using erosion operation, dilation operation, catchment basins for all size of objects were morphologically marked and re-shaped, which ensure watershed transformation in the final step segmentation the image accurately. The Experiment results showed the proposed method is more accurate in segmentation of complex images than traditional methods.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据