本工具使用python编写,将彩色图片转成黑白素描手绘图。
在python源码里可以调节其参数,尽量调到最好的效果。
使用颜色鲜艳的图片效果更佳!!参考文章:http://www.askaswiss.com/2016/01/how-to-create-pencil-sketch-opencv-python.html
将图片转为素描主要有4个步骤:
- 首先将彩色图转换成灰度图;
- 对灰度图进行求其反色的操作;
- 对第2步得到的结果采用一个高斯模糊的操作;
- 采用颜色亮化(color dodge)的技术将第一步的灰度图和第三步操作后的图片进行混合。
主要使用的是opencv模块。
原图:
12321111-24787f45561b4404.jpg
素描图:
12321111-f8ec538fac43e5b2.jpg
源码:
# -*- coding:utf-8 -*-
import cv2
import numpy as np
from tkinter import filedialog, Tk
from os import getcwd
from re import findall
def open_path():
# 图片路径
root = Tk()
root.withdraw()
file_path = (filedialog.askopenfilename(title='选择图片文件', filetypes=[('All Files', '*')]))
return file_path
def dodgeNaive(image, mask):
# determine the shape of the input image
width, height = image.shape[:2]
# prepare output argument with same size as image
blend = np.zeros((width, height), np.uint8)
for col in range(width):
for row in range(height):
# do for every pixel
if mask[col, row] == 255:
# avoid division by zero
blend[col, row] = 255
else:
# shift image pixel value by 8 bits
# divide by the inverse of the mask
tmp = (image[col, row] << 8) / (255 - mask)
# print('tmp={}'.format(tmp.shape))
# make sure resulting value stays within bounds
if tmp.any() > 255:
tmp = 255
blend[col, row] = tmp
return blend
def dodgeV2(image, mask):
return cv2.divide(image, 255 - mask, scale=256)
def burnV2(image, mask):
return 255 - cv2.divide(255 - image, 255 - mask, scale=256)
def rgb_to_sketch(src_image_name):
print('转换中......')
img_rgb = cv2.imread(src_image_name)
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
# 读取图片时直接转换操作
# img_gray = cv2.imread('example.jpg', cv2.IMREAD_GRAYSCALE)
img_gray_inv = 255 - img_gray
img_blur = cv2.GaussianBlur(img_gray_inv, ksize=(21, 21),
sigmaX=0, sigmaY=0)
img_blend = dodgeV2(img_gray, img_blur)
# cv2.imshow('original', img_rgb)
# cv2.imshow('gray', img_gray)
# cv2.imshow('gray_inv', img_gray_inv)
# cv2.imshow('gray_blur', img_blur)
cv2.imwrite(dst_image_name, img_blend)
save_path = getcwd() + "\\" + dst_image_name # 保存路径
print('转换完成!!!\n')
print('保存路径:' + save_path)
cv2.imshow(save_path, img_blend)
cv2.waitKey(0)
cv2.destroyAllWindows()
if __name__ == '__main__':
print('请选择图片(路径不要含中文):')
src_image_name = open_path() # 文件路径
print(src_image_name+'\n')
image_name = ''.join(findall(r'[^\\/:*?"<>|\r\n]+$', src_image_name)) # 获取文件名
dst_image_name = 'Sketch_' + image_name
rgb_to_sketch(src_image_name)
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