[1] |
LIU Y,ZHAO Y L.Quick approach of multi-threshold Otsu method for image segmentation[J]. Journal of Computer Applications,2011,31(12): 3363-3365(in Chinese). |
[2] |
CHEN L Ch.Fast thresholding for image segmentation based on 0~1 programming[J]. Computer Engineering and Applications,2012,48(10):197-199(in Chinese). |
[3] |
TAN Y M,HUAI J Zh,TANG Zh Sh. Edge-guided segmentation method for multiscale and high resolution remote sensing Image[J]. Journal of Infrared and Millimeter Waves,2010,29(4): 312-315(in Chinese). |
[4] |
XU Sh H,LIU J P,HU M Y.Automatic building detection in color aerial images based on region segmentation[J]. Journal of Liaoning Technical University(Natural Science Edition),2010,29(6): 1058-1061 (in Chinese). |
[5] |
ZHANG Q H,LI G M,LIN B H,et al. Threshold image segmentation based on maximum entropy-variance model[J]. Computer Technology and Development,2011,21(6): 43-45(in Chinese). |
[6] |
CHEN Sh Y,ZHANG Sh L.Detection of news captions based on gray-scale difference statistics and two-dimensional maximum entropy threshold[J]. Application Research of Computers,2011,28(8): 3195-3197 (in Chinese). |
[7] |
XU L T,XU X M.A calcification detection method based on two-dimensional entropic thresholding[J]. Computer Simulation,2010,27(9): 255-257(in Chinese). |
[8] |
GUO M Sh,LIU B H.2-D maximum entropy method in image segmentation based on chaos genetic algorithm[J].Computer Technology and Development,2008,18(8): 101-104(in Chinese). |
[9] |
WU Y Q,WU J M,ZHAN B Ch. An effective method of threshold selection for small object image[J]. Acta Armamentarii,2011,32(4): 469-475(in Chinese). |
[10] |
ZHANG X M,ZHANG A L,ZHENG Y B,et al.Improved two-dimensional maximum entropy image thresholding and its fast recursive realization[J]. Computer Science,2011,38(8): 278-283 (in Chinese). |
[11] |
CHEN J,ZHU H. A method of image segmentation based on mutual information and threshold iteration[J].Journal of Wuhan University of Technology,2011,35(3): 641-644(in Chinese). |
[12] |
LU Zh L, LI R L, LI T, et al. Infrared image denosing based on total variation theory[J]. Laser Technology,2012,36(2):194-197(in Chinese). |