Description: Traditional segmentation methods, in light uneven circumstances, difficult to get good segmentation results. In view of this situation, propose a threshold based on surface fitting surface segmentation method.
To Search:
- [Z2] - that a numerical analysis, surface fitti
- [light] - Another non-uniform illumination image i
- [K_average] - K means clustering algorithm, matlab pre
- [imge_fft] - Use of Fourier transform images homomorp
- [Matlab++] - MATLAB surface fitting (Note: in this ca
- [thresholdadaptive200810] - The realization of an adaptive threshold
- [harris] - According to online information their ow
- [eegplot] - Scattered dense surface point Fitting in
- [songchi] - yu bao wu cha fa
- [Bspline_Face] - Mfc-based implementation B-spline surfac
File list (Check if you may need any files):
qumiannihe\c2\ex_2.m
..........\..\ex_2_1.m
..........\..\p.jpg
..........\Chap12\ApproximationRemez.cpp
..........\......\Chap12.dsp
..........\......\Chap12.dsw
..........\......\Chap12.ncb
..........\......\Chap12.opt
..........\......\FitCurveChebyshev.cpp
..........\......\FitCurveLeastSquares.cpp
..........\......\FitSurfaceLeastSquares.cpp
..........\yuan\season_evo.asv
..........\....\season_evo.m
..........\....\season_evo_ctl1.txt
..........\....\season_evo_ctl21.txt
..........\....\season_evo_ctl22.txt
..........\....\season_evo_ctl4.txt
..........\....\season_evo_obs.txt
..........\....\test.eps
..........\Chap12\Debug
..........\c2
..........\Chap12
..........\yuan
qumiannihe
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