有谁知道完成此任务的通用算法,甚至是一些源代码?
理想情况下,它是可定制的,例如;边数/反射数,选择要为万花筒采样的图像部分等
这是一个简单的万花筒效果。一个使用对角双色调掩码将图像与其转置合并。然后将其水平翻转并水平连接。然后垂直翻转并垂直连接。最后将大小调整 50% 回到输入大小。图片必须是方形的(或裁剪的方形 - 不包括在内)。
有两个参数允许变化。一种是反转掩码。另一种是将合并后的图像旋转90度的倍数。
输入:
import cv2
import numpy as np
# arguments
invert = "no" # invert mask; yes or no
rotate = 0 # rotate composite; 0, 90, 180, 270
# read image (must be square)
img = cv2.imread('river_valley.png')
ht, wd = img.shape[:2]
# transpose the image
imgt = cv2.transpose(img)
# create diagonal bi-tonal mask
mask = np.zeros((ht,wd), dtype=np.uint8)
points = np.array( [[ [0,0], [wd,0], [wd,ht] ]] )
cv2.fillPoly(mask, points, 255)
if invert == "yes":
mask = cv2.bitwise_not(mask)
# composite img and imgt using mask
compA = cv2.bitwise_and(imgt, imgt, mask=mask)
compB = cv2.bitwise_and(img, img, mask=255-mask)
comp = cv2.add(compA, compB)
# rotate composite
if rotate == 90:
comp = cv2.rotate(comp,cv2.ROTATE_90_CLOCKWISE)
elif rotate == 180:
comp = cv2.rotate(comp,cv2.ROTATE_180)
elif rotate == 270:
comp = cv2.rotate(comp,cv2.ROTATE_90_COUNTERCLOCKWISE)
# mirror (flip) horizontally
mirror = cv2.flip(comp, 1)
# concatenate horizontally
top = np.hstack((comp, mirror))
# mirror (flip) vertically
bottom = cv2.flip(top, 0)
# concatenate vertically
kaleidoscope_big = np.vstack((top, bottom))
# resize
kaleidoscope = cv2.resize(kaleidoscope_big, (0,0), fx=0.5, fy=0.5, interpolation=cv2.INTER_LINEAR)
# save results
cv2.imwrite('river_valley_kaleidoscope_mask.png', mask)
cv2.imwrite('river_valley_kaleidoscope.png', kaleidoscope)
cv2.imshow('image', img)
cv2.imshow('transpose', imgt)
cv2.imshow('mask', mask)
cv2.imshow('compA', compA)
cv2.imshow('compB', compB)
cv2.imshow('comp', comp)
cv2.imshow('kaleidoscope', kaleidoscope)
cv2.waitKey(0)
cv2.destroyAllWindows()
面具:
万花筒结果: