基于分层区域合并NCUT的图像分割方法

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI:10.1109/ICCWAMTIP.2018.8632579

D. Fu, Huaixin Chen, Yun-Zhi Yang, Chang-Yin Wang, Yu-Wei Jin

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引用次数: 1

摘要

图像分割是图像分析和场景理解的基础。提出了一种基于分层区域合并的Ncut图像分割方法。首先使用SLIC将图像划分为多个区域;用基于图的Ncut算法对超像素表示的区域进行聚类，然后用分层区域合并算法对聚类后的区域进行合并。实验结果表明，该方法可以降低分割时间成本，提高分割效果。

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Image Segmentation Method Based on Hierarchical Region Merging's NCUT

Image segmentation is the foundation of image analysis and scene understanding. In this paper, a novel image segmentation method based on hierarchical region merging's Ncut is proposed. The image is divided into several regions using SLIC firstly. The region represented with superpixels are clustered by Graph-based Ncut algorithm, and then the clustered regions are further merged by hierarchical region merging algorithm. The Experiment shows that our method can reduce the cost of segmentation time and improve the segmentation results.

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来源期刊

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)

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