# -*- coding: utf-8 -*-
"""
Created on Fri Apr 20 21:10:35 2018

@author: Administrator
"""

'''
模糊滤波、边缘检测滤波   
模糊滤波：中值滤波、高斯模糊、平均滤波等
边缘检测滤波：包括梯度算子、拉普拉斯算子、高提升滤波、高斯-拉普拉斯变换
'''
import cv2
import numpy as np
from scipy import ndimage

'''
高通滤波器   
'''
kernel_3x3 = np.array([[-1,-1,-1],[-1,8,-1],[-1,-1,-1]]) 

kernel_5x5 = np.array([[-1,-1,-1,-1,-1],
                       [-1,-1, 2, 1,-1],
                       [-1, 2, 4, 2,-2],
                       [-1, 1, 2, 2,-1],
                       [-1,-1,-1,-1,-1]])

kernel = np.array([[-1,-1,-1],
                   [-1, 9,-1],
                   [-1,-1,-1]])

    
#读取图像，指定格式为灰度图像 
img = cv2.imread('./image/img6.jpg',cv2.IMREAD_GRAYSCALE)

#进行卷积运算
k3 = ndimage.convolve(img,kernel_3x3)
k5 = ndimage.convolve(img,kernel_5x5)
k = ndimage.convolve(img,kernel)


#高斯模糊滤波
blurred = cv2.GaussianBlur(img,(11,11),0)
cv2.blur(img,(11,11),0)

#作差
g_hpf = img - blurred


#显示图像
cv2.imshow('original',img) 
'''
cv2.imshow('3x3',k3)
cv2.imshow('k',k)
cv2.imshow('5x5',k5)
cv2.imshow('g_hpf',g_hpf)
'''

'''
Canny边缘检测
'''
can = cv2.Canny(img,200,300)
cv2.imshow('candy',can)


cv2.waitKey()
cv2.destroyAllWindows()