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873天前#!/usr/bin/env python |
# encoding: utf-8 |
''' |
图片转换特效 水波特效滤镜 |
''' |
import cv2, math |
import numpy as np |
class picture: |
def __init__(self): |
self.path = 'assets/picture.jpeg' |
def hello(self): |
return self |
def run(self): |
# 读取原始图像 |
img = cv2.imread(self.path) |
# 获取图像行和列 |
rows, cols = img.shape[:2] |
# 新建目标图像 |
dst = np.zeros((rows, cols, 3), dtype="uint8") |
# 定义水波特效参数 |
#越大越疏 |
wavelength = 50 |
#越大越密 |
amplitude = 30 |
phase = math.pi / 1.1 |
# 获取中心点 |
centreX = 0.5 |
centreY = 0.5 |
radius = min(rows, cols) / 2 |
# 设置水波覆盖面积 |
icentreX = cols * centreX |
icentreY = rows * centreY |
# 图像水波特效 |
for i in range(rows): |
for j in range(cols): |
dx = j - icentreX |
dy = i - icentreY |
distance = dx * dx + dy * dy |
if distance > radius * radius: |
x = j |
y = i |
else: |
# 计算水波区域 |
distance = math.sqrt(distance) |
amount = amplitude * math.sin(distance / wavelength * 2 * math.pi - phase) |
amount = amount * (radius - distance) / radius |
amount = amount * wavelength / (distance + 0.00001) |
x = j + dx * amount |
y = i + dy * amount |
# 边界判断 |
if x < 0: |
x = 0 |
if x >= cols - 1: |
x = cols - 2 |
if y < 0: |
y = 0 |
if y >= rows - 1: |
y = rows - 2 |
p = x - int(x) |
q = y - int(y) |
# 图像水波赋值 |
dst[i, j, :] = (1 - p) * (1 - q) * img[int(y), int(x), :] + p * (1 - q) * img[int(y), int(x), :] |
+ (1 - p) * q * img[int(y), int(x), :] + p * q * img[int(y), int(x), :] |
# 显示图像 |
cv2.imshow('src', img) |
cv2.imshow('dst', dst) |
cv2.waitKey() |
cv2.destroyAllWindows() |
if __name__ == '__main__': |
picture().hello().run() |
