将图片放入到白色或黑色背景图中，前提是图片小于背景图片的尺寸，原图为如下，长为192，宽为64。

1.将图片放入到白色背景图（224,224）中

import cv2
import numpy as np

def img_resize_to_target_white(image):
 target = np.ones((224,224),dtype=np.uint8)*255

 ret = cv2.cvtColor(target, cv2.COLOR_GRAY2BGR)

 h = image.shape[0]
 w = image.shape[1]
 for i in range(224):
  for j in range(224):
   if(i < h) and (j < w):

    ret[i, j, 0] = image[i, j, 0]
    ret[i, j, 1] = image[i, j, 1]
    ret[i, j, 2] = image[i, j, 2]
   else:
    ret[i, j, 0] = 255
    ret[i, j, 1] = 255
    ret[i, j, 2] = 255

 return ret
 
if __name__ == '__main__':
 image = cv2.imread('/home/yasin/桌面/test.png')
 img_new_white = img_resize_to_target_white(image)
 cv2.imshow("img_new_white", img_new_white)
 cv2.waitKey() 

运行结果为：

2.将图片放入到黑色背景图（224,224）中

import cv2

def img_resize_to_target_black(image):
 target = np.zeros((224,224),dtype=np.uint8)

 bgr_img = cv2.cvtColor(target, cv2.COLOR_GRAY2BGR)

 h = image.shape[0]
 w = image.shape[1]
 for i in range(h):
  for j in range(w):

   bgr_img[i, j, 0] = image[i, j, 0]
   bgr_img[i, j, 1] = image[i, j, 1]
   bgr_img[i, j, 2] = image[i, j, 2]

 return bgr_img

if __name__ == '__main__':
 image = cv2.imread('/home/yasin/桌面/test.png')
 img_new_black = img_resize_to_target_black(image)
 cv2.imshow("img_new_black", img_new_black)
 cv2.waitKey()

运行结果为：

以上这篇python 实现将小图片放到另一个较大的白色或黑色背景图片中就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持IIS7站长之家。