Improved Techniques for Unsupervised Image Segmentation
This paper proposed a novel automatic imagesegmentation system which is an improvement to the markerbased watershed transform. A new marker-extracted approach was proposed to extract the regional minima from the low frequency components in the gradients map. The extracted minima constitute the binary marker image. Then the markers are imposed on the original gradients as its minima, and suppress its all intrinsic minima. Finally, the watershed algorithm is applied to the modified gradients to perform the segmentation. Across a variety of image types, it is proven that this new system can obtain meaningful and homogeneous regions with accurate, consecutive and one-pixel wide boundary. Additionally compared with other methods, this system requires fewer computations and simpler parameters and can more efficiently reduce the over-segmentation of the watershed algorithm.
Li Gao Jie Xia Junli Liang Shuyuan Yang
Department of Integrated Digital System, Institute of Acoustics,Chinese Academy of Sciences,Beijing, 100080, China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
154-157
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）