python填充周围图片的颜色_使用PIL用附近的颜色填充空白图像空间(也称为修复)...
时间: 2023-11-27 16:53:32 浏览: 52
要使用PIL库在Python中填充周围的图片颜色,可以使用以下步骤:
1. 导入PIL库:
```python
from PIL import Image
```
2. 打开要填充的图像:
```python
img = Image.open('image.jpg')
```
3. 将图像转换为RGB模式:
```python
img = img.convert('RGB')
```
4. 获取图像的宽度和高度:
```python
width, height = img.size
```
5. 遍历图像的每个像素点,如果像素点是空白(即颜色为白色),则使用附近的颜色进行填充。可以定义一个函数来获取周围像素点的颜色:
```python
def get_average_color(x, y, n, img):
"""
获取周围n个像素点的平均颜色
"""
r, g, b = 0, 0, 0
count = 0
for xi in range(x-n, x+n+1):
for yi in range(y-n, y+n+1):
if xi >= 0 and yi >= 0 and xi < img.size[0] and yi < img.size[1]:
pixel = img.getpixel((xi, yi))
r += pixel[0]
g += pixel[1]
b += pixel[2]
count += 1
return (int(r/count), int(g/count), int(b/count))
```
6. 遍历每个像素点并进行填充:
```python
n = 2 # 周围n个像素点
for x in range(width):
for y in range(height):
pixel = img.getpixel((x, y))
if pixel == (255, 255, 255): # 如果是空白,则填充周围的颜色
color = get_average_color(x, y, n, img)
img.putpixel((x, y), color)
```
7. 保存填充后的图像:
```python
img.save('filled_image.jpg')
```
完整的代码示例:
```python
from PIL import Image
def get_average_color(x, y, n, img):
"""
获取周围n个像素点的平均颜色
"""
r, g, b = 0, 0, 0
count = 0
for xi in range(x-n, x+n+1):
for yi in range(y-n, y+n+1):
if xi >= 0 and yi >= 0 and xi < img.size[0] and yi < img.size[1]:
pixel = img.getpixel((xi, yi))
r += pixel[0]
g += pixel[1]
b += pixel[2]
count += 1
return (int(r/count), int(g/count), int(b/count))
img = Image.open('image.jpg')
img = img.convert('RGB')
width, height = img.size
n = 2 # 周围n个像素点
for x in range(width):
for y in range(height):
pixel = img.getpixel((x, y))
if pixel == (255, 255, 255): # 如果是空白,则填充周围的颜色
color = get_average_color(x, y, n, img)
img.putpixel((x, y), color)
img.save('filled_image.jpg')
```