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Python实现PS滤镜特效之扇形变换效果示例

2020-01-04 16:08:22
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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 npfrom skimage import img_as_floatimport matplotlib.pyplot as pltfrom skimage import ioimport mathimport numpy.matlibfile_name2='D:/Visual Effects/PS Algorithm/4.jpg'img=io.imread(file_name2)img = img_as_float(img)# control the radius of the inner circleradius = 150# control the distance between the inner circle and outer circlehigh = 200angle = 0spreadAngle = math.pi# set the center of the circle, proportion of the image sizecenterX = 0.5centerY = 1.0row, col, channel = img.shapeicenterX = col * centerXicenterY = row * centerYimg_out = img * 0xx = 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 - icenterXyy_dif = y_mask - icenterYtheta = 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 < 0x1_mask = x1_mask * (1 - mask)mask = x1_mask > (col - 1)x1_mask = x1_mask * (1 - mask) + (x1_mask * 0 + col -2) * maskmask = y1_mask < 0y1_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.vevb.com')plt.imshow (img)plt.axis('off')plt.figure (2)plt.title('www.vevb.com')plt.imshow (img_out)plt.axis('off')plt.show()

附录:PS 滤镜— —扇形warp

  clc;  clear all;  close all;  addpath('E:/PhotoShop Algortihm/Image Processing/PS Algorithm');  I=imread('4.jpg');  I=double(I);  Image=I/255;  [height, width, depth]=size(Image);  % set the parameters  radius = 150; % control the radius of the inner circle  high = 200;  % control the distance between the inner circle and outer circle  angle = 0;         spreadAngle=pi;    centerX = 0.5; % set the center of the circle, proportion of the image size  centerY = 1.0;  icenterX=width*centerX;  icenterY=height*centerY;  Image_new=Image*0;  for i=1:height    for j=1:width      dx=j-icenterX;      dy=i-icenterY;      theta=atan2(-dy, -dx)+angle;      r=sqrt(dy*dy+dx*dx);      theta=mod(theta, 2*pi);      x=width * theta/(spreadAngle+0.00001);      y=height * (1-(r-radius)/(high+0.00001));  % %     if (x<=1)   x=1; end  % %     if (x>=width)  x=width-1; end;  % %     if (y>=height) y=height-1; end;  % %     if (y<1) y=1;   end;  % %           if (x<=1)   continue; end      if (x>=width)  continue; end;      if (y>=height) continue; end;      if (y<1) continue;   end;      x1=floor(x);      y1=floor(y);      p=x-x1;      q=y-y1;      Image_new(i,j,:)=(1-p)*(1-q)*Image(y1,x1,:)+p*(1-q)*Image(y1,x1+1,:)...        +q*(1-p)*Image(y1+1,x1,:)+p*q*Image(y1+1,x1+1,:);    end  end  imshow(Image_new)  imwrite(Image_new, 'out.jpg');

参考来源:http://www.jhlabs.com/index.html

本例Python运行效果:

原图

Python,PS滤镜,扇形变换

效果图

Python,PS滤镜,扇形变换

 

希望本文所述对大家Python程序设计有所帮助。


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