ICA+FFT=>Spatial image filtering
result:
result:
in the image showed on the right, their are obvious two kind of textons: plus and minus signs. This filter can take these images and return the ICs in frequency domain with which we can do spatial filtering.
Further results, pending...
conclusion: Fourier transform perserve statistical indepence of images well. Using this techniques we can 'filter out' different shapes in images without ANY classification algorithms. This is done by fourier analysis of these images and pick the indepent frequency components.
conclusion: Fourier transform perserve statistical indepence of images well. Using this techniques we can 'filter out' different shapes in images without ANY classification algorithms. This is done by fourier analysis of these images and pick the indepent frequency components.
No comments:
Post a Comment