opencv中图像处理油画特效

    科技2024-06-03  85

    opencv中图像处理油画特效

    import cv2 import numpy as np import random import math img = cv2.imread(r"C:\Users\lenovo\Desktop\python\python_vision\image.jpg",1) cv2.imshow("img1",img) imgInfo = img.shape height = imgInfo[0] weight = imgInfo[1] gray = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY) dst = np.zeros((height,weight,3),np.uint8) for i in range(4,height-4): for j in range(4,weight-4): arry = 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) arry[p1] = arry[p1] + 1 currentMax = arry[0] l = 0 for k in range(0,8): if currentMax<arry[k]: currentMax = [k] l = k 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()

    油画特效的实现思路主要分以下五步:

    1.将图片转换为灰色图片 2.将图片分割成小方块,例如77,1010等 3.将像素值划分成若干等级,例如划分成4个等级,则063为等级一,64127为等级二,128191为等级三,192255为等级四 4.将步骤2中每个小方块,计算其内各等级的像素点个数 5.使用统计出的平均值替换原像素值

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