TY - GEN
T1 - Improved simple linear iterative clustering superpixels
AU - Kim, Kwang Shik
AU - Zhang, Dongni
AU - Kang, Mun Cheon
AU - Ko, Sung Jea
PY - 2013
Y1 - 2013
N2 - The superpixels are small regions in an image which do not contain edges inside. Among all the superpixel algorithms, the simple linear iterative clustering (SLIC) method is widely adopted due to its practicality. However, the resultant superpixels sometimes do not well adhere to the edges. In this paper, we present an improved SLIC superpixel method to solve this problem. Experiments show that the proposed method produces superpixels whose boundaries better adhere to the image edges without significantly increasing the processing time compared with the conventional method.
AB - The superpixels are small regions in an image which do not contain edges inside. Among all the superpixel algorithms, the simple linear iterative clustering (SLIC) method is widely adopted due to its practicality. However, the resultant superpixels sometimes do not well adhere to the edges. In this paper, we present an improved SLIC superpixel method to solve this problem. Experiments show that the proposed method produces superpixels whose boundaries better adhere to the image edges without significantly increasing the processing time compared with the conventional method.
UR - http://www.scopus.com/inward/record.url?scp=84883498707&partnerID=8YFLogxK
U2 - 10.1109/ISCE.2013.6570216
DO - 10.1109/ISCE.2013.6570216
M3 - Conference contribution
AN - SCOPUS:84883498707
SN - 9781467361996
T3 - Proceedings of the International Symposium on Consumer Electronics, ISCE
SP - 259
EP - 260
BT - 2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
T2 - 2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
Y2 - 3 June 2013 through 6 June 2013
ER -