Color image clustering segmentation based on SMCL for mobile robot

被引：0
|
作者：
An, CW [1 ]
Xiong, XM [1 ]
Yang, YQ [1 ]
Tan, M [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
来源：
2004 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2 | 2004年
关键词：
clustering segmentation; color image; mobile robot; MPTOC; SMCL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For conventional clustering segmentation of color image, it is necessary to predetermine clusters' number and centers of color image. If they are not appropriately predetermined, results of segmentation may become considerably worse. To fulfill unsupervised clustering segmentation of visual color images for mobile robot, this paper proposes multiprototypes-take-one-cluster (MPTOC) strategy and splitting-merging competitive learning (SMCL). Based on MPTOC, SMCL can adaptively detect appropriate clusters' number of color images. Experiment on mobile robot CASIA-1 validates MPTOC and SMCL.
引用
收藏
页码：1176 / 1179
页数：4
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