Feature Adaptive Co-Segmentation by Complexity Awareness

In this paper, we propose a novel feature adaptive co-segmentation method that can learn adaptive features of different image groups for accurate common objects segmentation. We also propose image complexity awareness for adaptive feature learning. In the proposed method, the original images are fir...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 22; no. 12; pp. 4809 - 4824
Main Authors:	Meng, Fanman, Li, Hongliang, Ngan, King Ngi, Zeng, Liaoyuan, Wu, Qingbo
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.12.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptation models Algorithms Applied sciences Complexity Complexity theory Cosegmentation Detection, estimation, filtering, equalization, prediction distance metric learning Exact sciences and technology Feature extraction Fitness Image color analysis image complexity analysis Image detection Image processing Image segmentation Information, signal and communications theory Measurement Object detection Pattern recognition Segmentation Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise State of the art Studies Telecommunications and information theory State of the art Image processing distance metric learning Error rate image complexity analysis Unsupervised classification Pattern recognition Shape detection Algorithm Signal classification Adaptive method Optimization Remote teaching Learning Image segmentation Image analysis Accuracy Least squares method Object detection Cosegmentation Metric Edge detection Target detection
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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