#coding:utf-8
'''
Gabor滤波器参数可视化
参考:https://blog.csdn.net/lhanchao/article/details/55006663
'''
import cv2
import numpy as np
import math
# λ(波长)变化
kernel1 = cv2.getGaborKernel((311,311),10,0,5,0.5,0)
kernel2 = cv2.getGaborKernel((311,311),10,0,10,0.5,0)
kernel3 = cv2.getGaborKernel((311,311),10,0,15,0.5,0)
kernel4 = cv2.getGaborKernel((311,311),10,0,20,0.5,0)
cv2.imshow("lambda: 5", kernel1)
cv2.imshow("lambda: 10", kernel2)
cv2.imshow("lambda: 15", kernel3)
cv2.imshow("lambda: 20", kernel4)
# θ变化
kernel1 = cv2.getGaborKernel((311, 311), 10, 0, 10, 0.5, 0)
kernel2 = cv2.getGaborKernel((311, 311), 10, math.pi * 0.25, 10, 0.5)
kernel3 = cv2.getGaborKernel((311, 311), 10, math.pi * 0.5, 10, 0.5, 0)
kernel4 = cv2.getGaborKernel((311, 311), 10, math.pi * 0.75, 10, 0.5, 0)
cv2.imshow("theta: 0", kernel1)
cv2.imshow("theta: 45", kernel2)
cv2.imshow("theta: 90", kernel3)
cv2.imshow("theta: 135", kernel4)
# ψ的变化
# σ的变化:
kernel1 = cv2.getGaborKernel((311, 311), 5, 0, 10, 0.5, 0)
kernel2 = cv2.getGaborKernel((311, 311), 10, 0, 10, 0.5, 0)
kernel3 = cv2.getGaborKernel((311, 311), 15, 0, 10, 0.5, 0)
kernel4 = cv2.getGaborKernel((311, 311), 20, 0, 10, 0.5, 0)
cv2.imshow("sigma: 5", kernel1)
cv2.imshow("sigma: 10", kernel2)
cv2.imshow("sigma: 15", kernel3)
cv2.imshow("sigma: 20", kernel4)
# γ的变化
kernel1 = cv2.getGaborKernel((311, 311), 10, 0, 10, 0.5, 0)
kernel2 = cv2.getGaborKernel((311, 311), 10, 0, 10, 1.0, 0)
kernel3 = cv2.getGaborKernel((311, 311), 10, 0, 10, 1.5, 0)
kernel4 = cv2.getGaborKernel((311, 311), 10, 0, 10, 2.0, 0)
cv2.imshow("gamma: 0.5", kernel1)
cv2.imshow("gamma: 1.0", kernel2)
cv2.imshow("gamma: 1.5", kernel3)
cv2.imshow("gamma: 2.0", kernel4)
cv2.waitKey()
cv2.destroyAllWindows()
Python OpenCV实例:Gabor滤波器参数可视化
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转载自my.oschina.net/wujux/blog/1796494
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