@article{12d9ea71ec5447d6a1655bcda22fadf6,
title = "A level-set method based on global and local regions for image segmentation",
abstract = "This paper presents a new level-set method based on global and local regions for image segmentation. First, the image fitting term of Chan and Vese (CV) model is adapted to detect the image's local information by convolving a Gaussian kernel function. Then, a global term is proposed to detect large gradient amplitude at the outer region. The new energy function consists of both local and global terms, and is minimized by the gradient descent method. Experimental results on both synthetic and real images show that the proposed method can detect objects in inhomogeneous, low-contrast, and noisy images more accurately than the CV model, the local binary fitting model, and the Lankton and Tannenbaum model.",
keywords = "Chan and Vese model, Image segmentation, active contour model, local binary fitting model",
author = "Zhao, {Yu Qian} and Wang, {Xiao Fang} and Shih, {Frank Y.} and Gang Yu",
note = "Funding Information: B.S. from National Cheng Kung University, Tainan, Taiwan, in 1980, M.S. from State University of New York, Stony Brook, USA, in 1983, and Ph.D. from Purdue University, West Lafayette, IN, USA, in 1987. He is presently a professor jointly appoin ted in the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Department of Biomedical Engineering at New Jersey Institute of Technology, Newark, New Jersey. He is also Director of Computer Vision Laboratory. Dr. Shih held a visiting professor position at Princeton University, Columbia University, National Taiwan University, National Institute of Informatics, Tokyo, Conservatoire National Des Arts Et Metiers, Paris, and Central South University, Changsha, China. He is an internationally renowned scholar and serves as the Editor-in-Chief for the International Journal of Multimedia Intelligence and Security (IJMIS). Dr. Shih is currently on the editorial board of Pattern Recognition, Pattern Recognition Letters, the International Journal of Pattern Recognition and Arti¯cial Intelligence, Journal of Information Hiding and Multimedia Signal Processing, Recent Patents on Engineering, Recent Patents on Computer Science, The Open Nanoscience Journal, the International Journal of Internet Protocol Technology, the Journal of Internet Technology, ISRN Signal Processing, and ISRN Machine Vision. He served as a steering member, committee member, and session chair for numerous professional conferences and workshops. He has received numerous grants from the National Science Foundation, Navy and Air Force, and Industry. He is the recipient of Research Initiation Award of NSF in 1991 and Board of Overseers Excellence in Research Award of NJIT in 2009. Funding Information: (200902482), Hunan Provincial Natural Science Foundation of China (09JJ3119), and Central South University fund for freedom of exploration program (201011200144). Funding Information: This work is supported by the National Natural Science Foundation of China (Grant No. 61172184), China Postdoctoral Science Foundation Specially Funded Project",
year = "2012",
month = feb,
doi = "10.1142/S021800141255004X",
language = "English (US)",
volume = "26",
journal = "International Journal of Pattern Recognition and Artificial Intelligence",
issn = "0218-0014",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "1",
}