A Study on the Improved Normalized Cut Algorithm Using a Bilateral Filter for Efficient Object Extraction from Image

被引：2

作者：

Lee, Sanghun ^{[1
]}

Lee, Gangseong ^{[1
]}

Hong, Yeongpyo ^{[3
]}

Kim, Jihoon ^{[2
]}

机构：

[1] Kwangwoon Univ, Dept Gen Educ, Seoul 139701, South Korea

[2] Kwangwoon Univ, Dept Plasmabiodisplay, Seoul 139701, South Korea

[3] Intetnat Univ Korea, Dept Hosp Management, Jinju 459721, South Korea

来源：

WIRELESS PERSONAL COMMUNICATIONS | 2016年 / 86卷 / 01期

关键词：

ITS; Bilateral filter; Graph cut; Canny edge algorithm; K-means clustering; Normalized cut;

D O I：

10.1007/s11277-015-3033-7

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This paper presents a new normalized cut algorithm using a bilateral filter for fast transmission in Intelligent Traffic Control System (ITS) based on ubiquitous technology. The algorithm employs a bilateral filter to produce a binarized image used to extract outlines with the Canny Edge algorithm then applies dilation with improved normalized cut to extract objects from the image. The result of the proposed method was compared to the results of the normalized cut algorithm using the K-Means clustering technique and showed that the new algorithm reduced the processing time for extracting objects, causing much faster data transmission on uTSN.

引用

页码：77 / 90

页数：14

共 7 条

[1] A Study on the Improved Normalized Cut Algorithm Using a Bilateral Filter for Efficient Object Extraction from Image
Sanghun Lee
Gangseong Lee
Yeongpyo Hong
Jihoon Kim
Wireless Personal Communications, 2016, 86 : 77 - 90
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