hello sir , i have studied your gabor filter m-file and i have doubts:
when i run it in matlab 2010a,then it shows
Mex file entry point is missing. Please check the (case-sensitive)
spelling of mexFunction (for C MEX-files), or the (case-insensitive)
spelling of MEXFUNCTION (for FORTRAN MEX-files).
??? Invalid MEX-file 'C:\Windows\system32\input.dll': C:\Windows\system32\ver.dll is not a valid Win32 application.
Error in ==> gabor_program at 16
sigma=input('Enter the value of sigma ');
could you help me in this step, please
For example when I choose wavelenghts=[1,2] and orientation[0 30 60 90].That means 2*4=8 gabor filters for each image.I set M=16 and N=16.Finally I found 16*16 GT matrix for each Gabor Filter.Then,I calculated 3 statistical values such as mean,standart deviation and entropy for each filtered matrix.Since there was 8 gabor filters,totally 8*3 feature matrix were extracted from an image.Do you think it is a correct way?I mean,how can I evaluate feature vector from the image?
The results obtained in the program can classified by taking different values of a particular parameter. For example we can categorize images after filtering them with different values of theta. A group will consist only images filtered with theta equal to 30 another with theta 60.
I have a problem about commenting gabor results.I want to classify the images into 4 groups.Firstly,I used GLCM method for extraction image texture.And then I gave it ANN,k-NN and SVM.Instead of GLCM,I want to use Gabor Wavelet results.When I applied your code an image I found 64*64 GT matrice for each image.So,could you let me know how I can give these result into classifier input?
the values of lambda, sigma etc are shown on the preview image associated with this download for more details on these parameters you can go through any ieee paper where gabor image filtering has been used