opencv实现浮雕效果和改变颜色效果

1&＃xff0c;浮雕效果实现&＃xff1a;
.基本原理&＃xff1a;根据像素与周围像素的差值确定像素值&＃xff0c;差别较大的像素&＃xff08;边缘点通常像素差别较大&＃xff09;像素值较大&＃xff0c;在灰度图中表现为较亮&＃xff0c;边缘凸显&＃xff0c;形成浮雕状&＃xff0c;然后加上一个灰度偏移值&＃xff0c;作为图片的整体底色。
实现公式&＃xff1a;newP &＃61; gray0-gray1&＃43;150
代码实现如下&＃xff1a;

import cv2
import numpy as np
img &＃61; cv2.imread(&＃39;image0.jpg&＃39;,1)
imgInfo &＃61; img.shape
height &＃61; imgInfo[0]
width &＃61; imgInfo[1]
gray &＃61; cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# newP &＃61; gray0-gray1&＃43;150
dst &＃61; np.zeros((height,width,1),np.uint8)
for i in range(0,height):for j in range(0,width-1):grayP0 &＃61; int(gray[i,j])grayP1 &＃61; int(gray[i,j&＃43;1])newP &＃61; grayP0-grayP1&＃43;150if newP > 255:newP &＃61; 255if newP <0:newP &＃61; 0dst[i,j] &＃61; newP
cv2.imshow(&＃39;dst&＃39;,dst)
cv2.waitKey(0)


实现结果如下&＃xff1a;

2&＃xff0c;改变rgb ->RGB new “蓝色”
#b&＃61;b1.5
#g &＃61; g1.3通过改变颜色效果&＃xff1a;代码实现&＃xff1a;

import cv2
import numpy as np
img &＃61; cv2.imread(&＃39;image0.jpg&＃39;,1)
cv2.imshow(&＃39;src&＃39;,img)
imgInfo &＃61; img.shape
height &＃61; imgInfo[0]
width &＃61; imgInfo[1]
dst &＃61; np.zeros((height,width,3),np.uint8)
for i in range(0,height):for j in range(0,width):(b,g,r) &＃61; img[i,j]b &＃61; b*1.5g &＃61; g*1.3if b>255:b &＃61; 255if g>255:g &＃61; 255dst[i,j]&＃61;(b,g,r)
cv2.imshow(&＃39;dst&＃39;,dst)
cv2.waitKey(0)


实现效果如下&＃xff1a;