需要均衡的图像

将下面的图像进行直方图均衡

1

3

9

9

8

2

1

3

7

3

3

6

0

6

4

6

8

2

0

5

2

9

2

6

0

均衡化计算过程

使用python进行直方图均衡化：

# -*- coding: utf-8 -*-

# @Time : 2020/3/7 23:30

# @Author : focksor

# @Email : focksor@outlook.com

# 原始图像

img = [

[1, 3, 9, 9, 8],

[2, 1, 3, 7, 3],

[3, 6, 0, 6, 4],

[6, 8, 2, 0, 5],

[2, 9, 2, 6, 0],

]

counter = {}

# 统计各级灰度频数

for i in range(10):

counter[i] = [i for line in img for i in line].count(i)

print("各级频数：", counter)

# 计算各级灰度概率

pixel_num = sum(counter.values())

for k in counter.keys():

counter[k] /= pixel_num

print("各级概率：", counter)

# 求各级累积概率

sum_probability = {}

for k in counter.keys():

print(k, [counter[i] for i in counter.keys() if i <= k])

sum_probability[k] = sum([counter[i] for i in counter.keys() if i <= k])

print("累计概率：", sum_probability)

# 打印灰阶映射表

for i in sum_probability.keys():

sum_probability[i] = round(sum_probability[i] * 9)

print("映射到灰阶：")

for i in range(10):

print(i, "->", sum_probability[i])

# 将原图像中的灰阶映射到均衡后的灰阶

for i, line in enumerate(img):

for j, pixel in enumerate(line):

img[i][j] = sum_probability[img[i][j]]

print("均衡化后图像：")

for line in img:

print(line)

各级频数： {0: 3, 1: 2, 2: 4, 3: 4, 4: 1, 5: 1, 6: 4, 7: 1, 8: 2, 9: 3}

各级概率： {0: 0.12, 1: 0.08, 2: 0.16, 3: 0.16, 4: 0.04, 5: 0.04, 6: 0.16, 7: 0.04, 8: 0.08, 9: 0.12}

累计概率： {0: 0.12, 1: 0.2, 2: 0.36, 3: 0.52, 4: 0.56, 5: 0.6000000000000001, 6: 0.7600000000000001, 7: 0.8000000000000002, 8: 0.8800000000000001, 9: 1.0}

映射到灰阶：

0 -> 1

1 -> 2

2 -> 3

3 -> 5

4 -> 5

5 -> 5

6 -> 7

7 -> 7

8 -> 8

9 -> 9

均衡化后图像：

[2, 5, 9, 9, 8]

[3, 2, 5, 7, 5]

[5, 7, 1, 7, 5]

[7, 8, 3, 1, 5]

[3, 9, 3, 7, 1]