小编Mrc*_*mio的帖子

当我运行以下代码时，输​​出结果变得模糊，但随着 sigma 值的增加，图像变得更暗。
进口

import numpy as np
import cv2
import matplotlib.pyplot as plt
%matplotlib inline
import math
import copy

高斯滤波器代码

e = 2.71828182845904
pi = 3.1415926535897

def gaus(mat_l,sigma):
    Matrix = [[0.0 for x in range(mat_l)] for y in range(mat_l)] 
    for x in range(-(int(mat_l/2)),(int(mat_l/2))+1):
        for y in range(-(int(mat_l/2)),(int(mat_l/2))+1):
            ee = pow(e,(-(((pow(x,2)+pow(y,2))/(2*(pow(sigma,2)))))))
            aa = (1/(2*pi*pow(sigma,2)))
            result = ee*aa
            Matrix[x+int(mat_l/2)][y+int(mat_l/2)] = round(result,6)
    return Matrix

卷积码

def matrix_convolve(image,kernel,a,b,mul=1):
    print(kernel)
    img_x, img_y = image.shape
    kernl_x, kernl_y = kernel.shape

    result = copy.deepcopy(image)
    for i in …