@article{ART001573840},
author={박경환 and Kwang Woo Nam and Rhee Yang Weon and Chang Woo Lee},
title={Adaptive Segmentation Approach to Extraction of Road and Sky Regions},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2011},
volume={16},
number={7},
pages={105-116}
TY - JOUR
AU - 박경환
AU - Kwang Woo Nam
AU - Rhee Yang Weon
AU - Chang Woo Lee
TI - Adaptive Segmentation Approach to Extraction of Road and Sky Regions
JO - Journal of The Korea Society of Computer and Information
PY - 2011
VL - 16
IS - 7
PB - The Korean Society Of Computer And Information
SP - 105
EP - 116
SN - 1598-849X
AB - In Vision-based Intelligent Transportation System(ITS) the segmentation of road region is a very basic functionality. Accordingly, in this paper, we propose a region segmentation method using adaptive pattern extraction technique to segment road regions and sky regions from original images. The proposed method consists of three steps; firstly we perform the initial segmentation using Mean Shift algorithm, the second step is the candidate region selection based on a static-pattern matching technique and the third is the region growing step based on a dynamic-pattern matching technique. The proposed method is able to get more reliable results than the classic region segmentation methods which are based on existing split and merge strategy. The reason for the better results is because we use adaptive patterns extracted from neighboring regions of the current segmented regions to measure the region homogeneity. To evaluate advantages of the proposed method, we compared our method with the classical pattern matching method using static-patterns. In the experiments, the proposed method was proved that the better performance of 8.12% was achieved when we used adaptive patterns instead of static-patterns. We expect that the proposed method can segment road and sky areas in the various road condition in stable, and take an important role in the vision-based ITS applications.
KW - ITS;Adaptive Pattern Extraction;Region Merge;Road Segmentation;Sky Segmentation
DO -
UR -
ER -
박경환, Kwang Woo Nam, Rhee Yang Weon and Chang Woo Lee. (2011). Adaptive Segmentation Approach to Extraction of Road and Sky Regions. Journal of The Korea Society of Computer and Information, 16(7), 105-116.
박경환, Kwang Woo Nam, Rhee Yang Weon and Chang Woo Lee. 2011, "Adaptive Segmentation Approach to Extraction of Road and Sky Regions", Journal of The Korea Society of Computer and Information, vol.16, no.7 pp.105-116.
박경환, Kwang Woo Nam, Rhee Yang Weon, Chang Woo Lee "Adaptive Segmentation Approach to Extraction of Road and Sky Regions" Journal of The Korea Society of Computer and Information 16.7 pp.105-116 (2011) : 105.
박경환, Kwang Woo Nam, Rhee Yang Weon, Chang Woo Lee. Adaptive Segmentation Approach to Extraction of Road and Sky Regions. 2011; 16(7), 105-116.
박경환, Kwang Woo Nam, Rhee Yang Weon and Chang Woo Lee. "Adaptive Segmentation Approach to Extraction of Road and Sky Regions" Journal of The Korea Society of Computer and Information 16, no.7 (2011) : 105-116.
박경환; Kwang Woo Nam; Rhee Yang Weon; Chang Woo Lee. Adaptive Segmentation Approach to Extraction of Road and Sky Regions. Journal of The Korea Society of Computer and Information, 16(7), 105-116.
박경환; Kwang Woo Nam; Rhee Yang Weon; Chang Woo Lee. Adaptive Segmentation Approach to Extraction of Road and Sky Regions. Journal of The Korea Society of Computer and Information. 2011; 16(7) 105-116.
박경환, Kwang Woo Nam, Rhee Yang Weon, Chang Woo Lee. Adaptive Segmentation Approach to Extraction of Road and Sky Regions. 2011; 16(7), 105-116.
박경환, Kwang Woo Nam, Rhee Yang Weon and Chang Woo Lee. "Adaptive Segmentation Approach to Extraction of Road and Sky Regions" Journal of The Korea Society of Computer and Information 16, no.7 (2011) : 105-116.
