Python实现PS滤镜特效之扇形变换效果示例-创新互联

本文实例讲述了Python实现PS滤镜特效之扇形变换效果。分享给大家供大家参考，具体如下：

这里用 Python 实现 PS 滤镜中的一种几何变换特效，称为扇形变换，将图像扭曲成一个扇形，具体的算法原理和效果图可以参考附录说明

import numpy as np
from skimage import img_as_float
import matplotlib.pyplot as plt
from skimage import io
import math
import numpy.matlib
file_name2='D:/Visual Effects/PS Algorithm/4.jpg'
img=io.imread(file_name2)
img = img_as_float(img)
# control the radius of the inner circle
radius = 150
# control the distance between the inner circle and outer circle
high = 200
angle = 0
spreadAngle = math.pi
# set the center of the circle, proportion of the image size
centerX = 0.5
centerY = 1.0
row, col, channel = img.shape
icenterX = col * centerX
icenterY = row * centerY
img_out = img * 0
xx = np.arange (col)
yy = np.arange (row)
x_mask = numpy.matlib.repmat (xx, row, 1)
y_mask = numpy.matlib.repmat (yy, col, 1)
y_mask = np.transpose(y_mask)
xx_dif = x_mask - icenterX
yy_dif = y_mask - icenterY
theta = np.arctan2(-yy_dif, -xx_dif+0.0001)
r = np.sqrt(xx_dif*xx_dif + yy_dif * yy_dif)
theta = np.mod(theta, 2 * math.pi)
x1_mask = col * theta/(spreadAngle+0.00001)
y1_mask = row * (1-(r-radius)/(high+0.00001))
'''
mask = x1_mask < 0
x1_mask = x1_mask * (1 - mask)
mask = x1_mask > (col - 1)
x1_mask = x1_mask * (1 - mask) + (x1_mask * 0 + col -2) * mask
mask = y1_mask < 0
y1_mask = y1_mask * (1 - mask)
mask = y1_mask > (row -1)
y1_mask = y1_mask * (1 - mask) + (y1_mask * 0 + row -2) * mask
'''
int_x = np.floor (x1_mask)
int_x = int_x.astype(int)
int_y = np.floor (y1_mask)
int_y = int_y.astype(int)
for ii in range(row):
  for jj in range (col):
    new_xx = int_x [ii, jj]
    new_yy = int_y [ii, jj]
    if x1_mask [ii, jj] < 0 or x1_mask [ii, jj] > col -1 :
      continue
    if y1_mask [ii, jj] < 0 or y1_mask [ii, jj] > row -1 :
      continue
    img_out[ii, jj, :] = img[new_yy, new_xx, :]
plt.figure (1)
plt.title('www.jb51.net')
plt.imshow (img)
plt.axis('off')
plt.figure (2)
plt.title('www.jb51.net')
plt.imshow (img_out)
plt.axis('off')
plt.show()

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