Gabor filter study notes

1. gabor is a linear filter for edge extraction, its frequency and direction are similar to the human visual system, it can provide good direction selection and scale selection characteristics, and it is insensitive to illumination changes, suitable for texture analysis
2. Comparison of the receptive field response of the Gabor filter and the vertebrate visual cortex: (the first line is the visual response of the vertebrate, the second line is the response of the gabor filter, the difference between the two is very small)
3. Fourier transform can transform the signal from the time domain to the frequency domain, but it cannot obtain the sequence relationship between different frequencies in the spectrum, but we need to pay attention to the characteristics of the signal in the local range, gabor and wavelet transform (if you need to understandFor more information, please refer to: Wavelet transform study notes_Wsyoneself's blog-CSDN blog) breaks through the limitations of Fourier transform
4. Gabor transform In order to extract the local information of Fourier transform, a time-localized window function is introduced (divide the signal into many small time intervals, and analyze each interval with Fourier transform), so it is also called windowFourier Transform (Short Time Fourier Transform)