基于Opencv的图像卡通化实现代码

import cv2
img=cv2.imread('bird.jpg')
cv2.imshow('bird',img)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Blur the image using Gaussian Blur
#高斯核服从正态分布，核数越大，越模糊
gray_blur = cv2.GaussianBlur(gray, (75, 75), 0)
# Convert the image into pencil sketch
cartoon = cv2.divide(gray, gray_blur, scale=250.0)
cv2.imshow('cartoon.jpg',cartoon)
cv2.waiTKEy()
cv2.destroyAllWindows()

import cv2
img=cv2.imread('bird.jpg')
cv2.imshow('bird',img)
#convert the image into grayscale image
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#Blur the grayscale image with median blur中值滤波
gray_blur = cv2.medianBlur(gray, 3)
#Apply adaptive thresholding to detect edges检测图像边缘
edges = cv2.adaptiveThreshold(gray_blur, 255, cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY, 9, 9)#自适应均值滤波
#Sharpen the image锐化图像
color = cv2.detailEnhance(img, sigma_s=5, sigma_r=0.5)
cv2.imshow('color',color)
#细节增强函数 sigma_s控制着邻域的大小，该邻域的大小将被加权以替换图像中的像素值。值越高，邻域越大。这样可以使图像更平滑
#：如果要在平滑图像时保留边缘，这很重要。较小的值只会产生非常相似的颜色进行平均（即平滑），而相差很大的颜色将保持不变
#Merge the colors of same images using "edges" as a mask
cartoon = cv2.bitwise_and(color, color, mask=edges)
cv2.imshow('cartoon',cartoon)
cv2.waitKey()
cv2.destroyAllWindows()

import cv2
img=cv2.imread('bird.jpg')

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imshow('img.jpg', img )

gray = cv2.medianBlur(gray, 3)
edges = cv2.Laplacian(gray, -1, ksize=5)
edges_inv = 255 - edges
dummy, cartoon = cv2.threshold(edges_inv, 0, 255, cv2.THRESH_BINARY)
cv2.imshow('cartoon.jpg', cartoon )
cv2.waitKey()
cv2.destroyAllWindows()