Pavement image segmentation based on fast FCM clustering with spatial information in internet of things

被引：6
|
作者：
Qin, Guofeng [1 ]
Li, Qiutao [1 ]
机构：
[1] Tongji Univ, Dept Comp Sci & Technol, Shanghai 201804, Peoples R China
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2019年 / 78卷 / 05期
关键词：
Pavement image segmentation; Fast FCM; Spatial information; Noise immunity; IOT; FUZZY; ALGORITHM;
D O I：
10.1007/s11042-017-4683-0
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Pavement image segmentation needs to deal with noise spots and has real time requirement. The original FCM method only considers the pixel's gray value and doesn't fully utilize the spatial information of the image. A new fast FCM algorithm is proposed, and it has noise immunity. By comparing with other FCM algorithms, it achieves better segmentation results through less iteration times and more rapid runtime. It is an effective and noise-resistant algorithm for pavement image segmentation from video multimedia in IOT (internet of things) platform.
引用
收藏
页码：5181 / 5191
页数：11
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