@article{adf5d937094141b7bd0f709e2907210d,
title = "Interactive segmentation based on iterative learning for multiple-feature fusion",
abstract = "This paper proposes a novel interactive segmentation method based on conditional random field (CRF) model to utilize the location and color information contained in user input. The CRF is configured with the optimal weights between two features, which are the color Gaussian Mixture Model (GMM) and probability model of location information. To construct the CRF model, we propose a method to collect samples for the cuttraining tasks of learning the optimal weights on a single image[U+05F3]s basis and updating the parameters of features. To refine the segmentation results iteratively, our method applies the active learning strategy to guide the process of CRF model updating or guide users to input minimal training data for training the optimal weights and updating the parameters of features. Experimental results show that the proposed method demonstrates qualitative and quantitative improvement compared with the state-of-the-art interactive segmentation methods. The proposed method is also a convenient tool for interactive object segmentation.",
keywords = "Active learning, Conditional random field, Interactive object segmentation, Parameter learning",
author = "Lei Zhou and Yu Qiao and Yijun Li and He, {Xiang Jian} and Jie Yang",
note = "Funding Information: This research is partly supported by NSFC, China (No. 61375048 , 31100672 ). Funding Information: Xiangjian He as a chief investigator has received various research grants including four national Research Grants awarded by Australian Research Council (ARC). He is the Director of Computer Vision and Recognition Laboratory, and the Deputy Director of Research Centre for Innovation in IT Services and Applications (iNEXT) at the University of Technology, Sydney (UTS). He is an IEEE senior member. He has been awarded {\textquoteleft}Internationally Registered Technology Specialist{\textquoteright} by International Technology Institute (ITI). He has been carrying out research mainly in the areas of image processing, network security, pattern recognition and computer vision in the previous years. He is a leading researcher for image processing based on hexagonal structure. He has played a chairman role in various international conferences including IEEE CIT, IEEE AVSS and ICARCV. He is a guest editor for various international journals such as Journal of Computer Networks and Computer Applications (Elsevier), and in the editorial boards of various international journals. He is a supervisor of postdoctoral research fellows and Ph.D. students. Since 1985, he has been an academic, a visiting professor, an adjunct professor, a postdoctoral researcher or a senior researcher in various universities/institutions including Xiamen University, China, University of New England, Australia, University of Georgia, USA, Electronic and Telecommunication Research Institute (ETRI) of Korea, University of Aizu, Japan, and Hongkong Polytechnic University. ",
year = "2014",
month = jul,
day = "5",
doi = "10.1016/j.neucom.2013.12.026",
language = "English",
volume = "135",
pages = "240--252",
journal = "Neurocomputing",
issn = "0925-2312",
publisher = "Elsevier",
}