#1 gray 2 7*7 10*10 3 0-255 256 4 640-63 64-127
# 3 10 0-63 99
# 4 count 5 dst = result
import cv2
import numpy as np
img = cv2.imread('image00.jpg',1)
cv2.imshow('src',img)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
dst = np.zeros((height,width,3),np.uint8)
for i in range(4,height-4):
for j in range(4,width-4):
array1 = np.zeros(8,np.uint8)
for m in range(-4,4):
for n in range(-4,4):
p1 = int(gray[i+m,j+n]/32)
array1[p1] = array1[p1]+1
currentMax = array1[0]
l = 0
for k in range(0,8):
if currentMax<array1[k]:
currentMax = array1[k]
l = k
# 简化 均值
for m in range(-4,4):
for n in range(-4,4):
if gray[i+m,j+n]>=(l*32) and gray[i+m,j+n]<=((l+1)*32):
(b,g,r) = img[i+m,j+n]
dst[i,j] = (b,g,r)
cv2.imshow('dst',dst)
cv2.waitKey(0)
opencv基础之 -- 油画特效
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转载自blog.csdn.net/qq_15256443/article/details/84984024
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