[1]
Zhao C Y, Yan C Q and Shi X F 2009 Review on Image Segmentation China Science and Technology Information 1: 42-43.
Google Scholar
[2]
Chen B Q, Liu H L and Meng F BCurrent Situation and Development Direction of Digital Image Processing Technology Journal of Jishou University (Natural Science Edition) 30(1): 63-70( 2009).
Google Scholar
[3]
Ji H, Sun J X, Shao X F and Mao L The Algorithm for Image Edge Detection and Prospect Computer Engineering and Applications 14: 70-73 (2004).
Google Scholar
[4]
Liu J H, Yang J F, Shan X J and Yin J Y A Boundary Tracking Method Based on Preferential Direction for Searching Remote Sensing Technology and Application 19(3): 209-213(2004).
Google Scholar
[5]
Zhou M and Zhou H An Adaptive Method of Clustering Image Threshold Segmentation Based on Genetic Algorithms Computer Engineering and Applications 18: 73-76 (2005).
Google Scholar
[6]
Malladi R, Sethian J and Vemuri B Shape modeling with front propagation: A level set approach IEEE Transactions on Pattern Analysis and Machine Intelligence 17(2): 58-174(1995).
DOI: 10.1109/34.368173
Google Scholar
[7]
Osher S and Shu C W High-orderessentially nonoscillatory schemes for Hamilton-Jacobi equation SIAM Joumal of Numerical Analysis 28(4): 907-922(1991).
DOI: 10.1137/0728049
Google Scholar
[8]
Osher S and Sethian J A Level Set Methods and Dynamic Implicit Surfaces New York: Springer-Verlag: 22-114(2002).
Google Scholar
[9]
Woods R P, Mazziotta J C and Cherry S R MRI PET registration with automated algorithm Journal of Computer Assisted Tomography 17 (4): 536-546(1993).
DOI: 10.1097/00004728-199307000-00004
Google Scholar
[10]
Maes F, Vandermeulen D and Suetens P Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information Medical Image Analysis 3(4): 373-386(1999).
DOI: 10.1016/s1361-8415(99)80030-9
Google Scholar
[11]
Maintz J B A, Meijer E H and Viergever M A General multimodal elastic registration based on mutual information Proceedings of SPIE 3338 – Medical Imaging: Image Proessing San Diego 144-154(1998).
DOI: 10.1117/12.310845
Google Scholar
[12]
Pluim J P W, Maintz J B A and Viergever M A Image registration by maximization of combined mutual information and gradient information IEEE Transactions on Medical Image 19(8): 809(2000).
DOI: 10.1109/42.876307
Google Scholar
[13]
Han S Q and Wang L A Survey of Threshold Methods for Image Segmentation Systems Engineering and Electronics 24(6): 94-102(2002).
Google Scholar
[14]
Liu J Z and Li W Q The Automatic Thresholding of Gray-Level Pictures via Two-Dimensional Otsu Method Acta Automatica Sinica 19(1): 101-105(1993).
Google Scholar
[15]
Zeng L Research on image segmentation based on Otsu adaptive threshold method Information Technology 10: 88-90(2008).
Google Scholar
[16]
Zhang X M, Sun Y J and Zheng Y B Precise Two-Dimensional Otsu's Image Segmentation and Its Fast Recursive Realization Acta Electronica Sinica 39(8): 1178-1184(2011).
Google Scholar
[17]
Wang J and Zhou Z J Research on morphological image processing based on Matlab Computer Forum 284: 135-136(2010).
Google Scholar
[18]
Dobrushin R L General formulation of shannon's main theorem in information Uspekhi Mat Nauk 14( 3): 92-104(1959).
Google Scholar
[19]
Ye B, LU X S, Zhang S and Chen Y Z Study on local extremum of object function in mutual information-based image registration Computer Engineering and Applications 43(6): 58-61(2007).
Google Scholar