标题:Fast and robust image segmentation using an superpixel based FCM algorithm
作者:Jia, Shixiang ;Zhang, Caiming
通讯作者:Zhang, Caiming
作者机构:[Jia, Shixiang ;Zhang, Caiming ] School of Computer Science and Technology, Shandong University, Jinan, China;[Zhang, Caiming ] Shandong Key Lab. of D 更多
来源:2014 IEEE International Conference on Image Processing, ICIP 2014
出版年:2014
页码:947-951
DOI:10.1109/ICIP.2014.7025190
关键词:fuzzy c-means; fuzzy clustering; Image segmentation; spatial information; superpixel
摘要:Through semantically grouping pixels in local neighborhoods, superpixels can capture image redundancy and significantly improve the performance of post-processing algorithms. In this paper, we investigate the application of superpixels in FCM framework, and propose a modified FCM algorithm SPFCM which utilizes superpixels as clustering objects instead of pixels. Superpixel and its neighborhood increase the clustering granularity and allow us to compute the objective function on a naturally adaptive domain rather than on a fixed window, so our algorithm can make full use of the spatial information and is more robust to noise. Due to the compact image representation based on superpixels, the computational complexity of our method is also drastically reduced. Experimental results on both synthetic and real images demonstrate the effectiveness and efficiency of our algorithm. © 2014 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949927448&doi=10.1109%2fICIP.2014.7025190&partnerID=40&md5=e812c800c4191194c8d1ae275395cff4
TOP