Description: INSTRUCTIONS FOR RUNNING NSDCALC SOFTWARE
Nsdcalc.m is a Matlab program for performing the image enhancement process
described in the accompanying paper. Place the program in your work directory
along with the demonstration data file grav.txt. At the Matlab prompt type
>> g=load( grav.txt )
-and you should see a variable called g which is 200x200 double precision
reals appear in the workspace. To filter this data type
>> f=nsdcalc(g,3,0)
which will calculate the standard deviation in a 3x3 window and apply
no prior smoothing. The results will then appear onscreen in a window.
You may need to adjust the histogram of the output for optimal display.-Nsdcalc is a Matlab program that performs normalised standard deviation analysis for edge enhancement of gravity and EM potential-field datasets Platform: |
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Description: Upon graduation design written MATLAB program to achieve the iXigUy image feature extraction, and do feature different light, different perspectives match under optimal JGPxzKQ difference calculation method, there are application programming source code matlab .m files and run picture file required.
-Write the gui matlab image processing function code, basically including the most basic image processing inside the process, such as reading the file, the geometric transformation of the vertical mirroring, translation, rotation, scaling orthogonal transformation DFT, FFT, enYooZ , DWashT anti-gray color processing, histogram equalization, global linear transformation, piecewise linear transformation, a nonlinear transformation index, the number of non-linear transform image enhancement which increases the noise,kDTFmId method, sharpening, pseudo-color enhancement image segmentation inside the gray threshold, debugging can run.
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Description: Upon graduation design written MATLAB program to achieve the srpgeB image feature extraction, and do feature different light, different perspectives match under optimal wTmANxo difference calculation method, there are application programming source code matlab .m files and run picture file required.
-Write the gui matlab image processing function code, basically including the most basic image processing inside the process, such as reading the file, the geometric transformation of the vertical mirroring, translation, rotation, scaling orthogonal transformation DFT, FFT, CnukHE , DWashT anti-gray color processing, histogram equalization, global linear transformation, piecewise linear transformation, a nonlinear transformation index, the number of non-linear transform image enhancement which increases the noise,MxhiZyf method, sharpening, pseudo-color enhancement image segmentation inside the gray threshold, debugging can run.
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Search - m file matlab image histogram