Improved simple linear iterative clustering superpixels

Kwang Shik Kim, Dongni Zhang, Mun Cheon Kang, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
Pages259-260
Number of pages2
DOIs
Publication statusPublished - 2013
Event2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013 - Hsinchu, Taiwan, Province of China
Duration: 2013 Jun 32013 Jun 6

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE

Other

Other2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
CountryTaiwan, Province of China
CityHsinchu
Period13/6/313/6/6

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Kim, K. S., Zhang, D., Kang, M. C., & Ko, S. J. (2013). Improved simple linear iterative clustering superpixels. In 2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013 (pp. 259-260). [6570216] (Proceedings of the International Symposium on Consumer Electronics, ISCE). https://doi.org/10.1109/ISCE.2013.6570216