How to apply gabor filter to images in opencv?
c++, image, opencv
Solution
basically, you convert your img to float,
then construct a kernel:
cv::Mat kernel = cv::getGaborKernel(cv::Size(kernel_size,kernel_size), sig, th, lm, gm, ps);
and apply it with filter2D:
cv::filter2D(src_f, dest, CV_32F, kernel);
[edit]
** i'm not sure, but you'll probably need a 1channel image as input.
** imshow sees, your image is float, and just saturates anything beyond 1.0, so you get an all white image.
(this is just a visualization problem, needs a bit of conversion/scaling to cure it)
Mat in = imread("XfNal.jpg",0); // load grayscale
Mat dest;
Mat src_f;
in.convertTo(src_f,CV_32F);
int kernel_size = 31;
double sig = 1, th = 0, lm = 1.0, gm = 0.02, ps = 0;
cv::Mat kernel = cv::getGaborKernel(cv::Size(kernel_size,kernel_size), sig, th, lm, gm, ps);
cv::filter2D(src_f, dest, CV_32F, kernel);
cerr << dest(Rect(30,30,10,10)) << endl; // peek into the data
Mat viz;
dest.convertTo(viz,CV_8U,1.0/255.0); // move to proper[0..255] range to show it
imshow("k",kernel);
imshow("d",viz);
waitKey();
Problem
I've got some wavelets with the gabor filter code, it's something like this.. but i don't know how to use it on my image? i know there are some ways with matlab,i.e matlab way. but I'm using `opencv`, and I'm very new to this field and `matlab`, I don't know how to write the opencv code from the matlab code, so , waht am I supposed to do this with `opencv`? thanks very much! ****Update**** I've tried @berak's way, and this is the original image and this is after I applied the filter just all white and nothing left,below is my params, ``` int kernel_size = 31; double sig = 1, th = 0, lm = 1.0, gm = 0.02, ps = 0; cv::Mat kernel = cv::getGaborKernel(cv::Size(kernel_size, kernel_size), sig, th, lm, gm, ps); cv::filter2D(src_f, dest, CV_32F, kernel); ``` is there anything wrong with my setting?