opecv入门：3.7图片特效-油画效果

#1 gray  2 7*7 10*10 3 0-255 256 4 64 0-63 64-127 
# 3 10 0-63 99 
# 4 count 5 dst = result
#1变成灰度图片  2选取小方块   3获取最多的段

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)  #八段
        for m in range(-4,4):  #8*8的块
            for n in range(-4,4):
                p1 = int(gray[i+m,j+n]/32)   #统计每个像素为中心的8*8矩阵内每个像素放在在灰度段
                array1[p1] = array1[p1]+1
        currentMax = array1[0]
        l = 0
        for k in range(0,8):
            if currentMax=(l*32) and gray[i+m,j+n]<=((l+1)*32):#l 灰度段  32是灰度等级 《=下一个灰度段
                    (b,g,r) = img[i+m,j+n]       #满足就取出来，用最后一个满足的代替这8*8内的所有
        dst[i,j] = (b,g,r)  #其他的
cv2.imshow('dst',dst)
cv2.waitKey(0)