TY - GEN
T1 - EISeg
T2 - 23rd International Conference on Pattern Recognition, ICPR 2016
AU - Xian, Min
AU - Xu, Fei
AU - Cheng, H. D.
AU - Zhang, Yingtao
AU - Ding, Jianrui
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Interactive image segmentation is a popular and challenging task. User interactions, e.g., setting seeds or specifying bounding box, play a critical role in determining the performance of all interactive segmentation approaches. However, most methods focus on improving segmentation performance by integrating higher level information; and to the best of our knowledge, no work has been done to improve the effectiveness of user interactions yet. In this paper, we propose the effective interactive segmentation (EISeg) method based on Neutro-Connectedness, which provides user with objective visual clues for guiding interactions. The experiments demonstrate that the proposed EISeg method guides interaction effectively, and achieves better results with much less user interaction (averagely 2.3 foreground and 1.8 background seeds/image) than state-of-the-art approaches.
AB - Interactive image segmentation is a popular and challenging task. User interactions, e.g., setting seeds or specifying bounding box, play a critical role in determining the performance of all interactive segmentation approaches. However, most methods focus on improving segmentation performance by integrating higher level information; and to the best of our knowledge, no work has been done to improve the effectiveness of user interactions yet. In this paper, we propose the effective interactive segmentation (EISeg) method based on Neutro-Connectedness, which provides user with objective visual clues for guiding interactions. The experiments demonstrate that the proposed EISeg method guides interaction effectively, and achieves better results with much less user interaction (averagely 2.3 foreground and 1.8 background seeds/image) than state-of-the-art approaches.
KW - Effectiveness of interaction
KW - Interactive segmentation
KW - Neutro-Connectedness
UR - https://www.scopus.com/pages/publications/85019157910
U2 - 10.1109/ICPR.2016.7899927
DO - 10.1109/ICPR.2016.7899927
M3 - 会议稿件
AN - SCOPUS:85019157910
T3 - Proceedings - International Conference on Pattern Recognition
SP - 1982
EP - 1987
BT - 2016 23rd International Conference on Pattern Recognition, ICPR 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 December 2016 through 8 December 2016
ER -