log-Gabor的python实现代码

我可以回答这个问题。以下是log-Gabor的Python实现代码：

import numpy as np
import cv2

def log_gabor_filter(image, sigma, theta, Lambda, psi, gamma):
    """
    Apply log-Gabor filter to an image.
    :param image: input image
    :param sigma: standard deviation of the Gaussian envelope
    :param theta: orientation of the filter in radians
    :param Lambda: wavelength of the sinusoidal factor
    :param psi: phase offset of the sinusoidal factor
    :param gamma: spatial aspect ratio
    :return: filtered image
    """
    rows, cols = image.shape
    x, y = np.meshgrid(np.arange(-cols/2, cols/2), np.arange(-rows/2, rows/2))
    x_theta = x * np.cos(theta) + y * np.sin(theta)
    y_theta = -x * np.sin(theta) + y * np.cos(theta)
    gb = np.exp(-(x_theta**2 + gamma**2 * y_theta**2) / (2 * sigma**2))
    gb *= np.cos(2 * np.pi * x_theta / Lambda + psi)
    return cv2.idft(cv2.idft(gb, flags=cv2.DFT_COMPLEX_OUTPUT)[:, :, 0], flags=cv2.DFT_COMPLEX_OUTPUT)[:, :, 0]

希望对你有所帮助！