A new image segmentation method via fusing NCut eigenvectors maps
Tiejun Zhang, Ahmed A. Abd El‐Latif, Ning Wang, Qiong Li, Xiamu Niu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
This paper presents a new image segmentation method via fusing Normalized Cut (NCut) eigenvector maps. In this method, we fuse the eigenvector maps by maximizing the salient contour signals and suppress the non-maximum ones. Then, we use OWT-UCM method to produce the image segmentation from the soft contour map generated from the fused eigenvector maps and local contour cues. We evaluate our segmentation method based on BSDS500 database. Experimental results show that the proposed segmentation method is more accurate and preserve large meaningful region.