Demo 工程

$ conda create -n color-model python=3.9
$ conda activate color-model
$ pip install -r requirements.txt点击复制复制失败已复制

import cv2
import numpy as np
from matplotlib import pyplot as plt
pic_file = 'demo.jpeg'
img_bgr = cv2.imread(pic_file, cv2.IMREAD_COLOR)  # OpenCV读取颜色顺序：BGR
img_b = img_bgr[..., 0]
img_g = img_bgr[..., 1]
img_r = img_bgr[..., 2]
fig = plt.gcf()  # 图片详细信息
fig = plt.gcf()  # 分通道显示图片
fig.set_size_inches(10, 15)
plt.subplot(221)
plt.imshow(np.flip(img_bgr, axis=2))  # 展平图像数组并显示
plt.axis('off')
plt.title('Image')
plt.subplot(222)
plt.imshow(img_r, cmap='gray')
plt.axis('off')
plt.title('R')
plt.subplot(223)
plt.imshow(img_g, cmap='gray')
plt.axis('off')
plt.title('G')
plt.subplot(224)
plt.imshow(img_b, cmap='gray')
plt.axis('off')
plt.title('B')
plt.show()点击复制复制失败已复制

import cv2
import numpy as np
from matplotlib import pyplot as plt
pic_file = 'demo.jpeg'
img_bgr = cv2.imread(pic_file, cv2.IMREAD_COLOR)  # OpenCV读取颜色顺序：BGR
img_hsv = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2HSV)
img_h = img_hsv[..., 0]
img_s = img_hsv[..., 1]
img_v = img_hsv[..., 2]
fig = plt.gcf()                      # 分通道显示图片
fig.set_size_inches(10, 15)
plt.subplot(221)
plt.imshow(img_hsv)
plt.axis('off')
plt.title('HSV')
plt.subplot(222)
plt.imshow(img_h, cmap='gray')
plt.axis('off')
plt.title('H')
plt.subplot(223)
plt.imshow(img_s, cmap='gray')
plt.axis('off')
plt.title('S')
plt.subplot(224)
plt.imshow(img_v, cmap='gray')
plt.axis('off')
plt.title('V')
plt.show()点击复制复制失败已复制

import cv2
import numpy as np
from matplotlib import pyplot as plt
pic_file = 'demo.jpeg'
img_bgr = cv2.imread(pic_file, cv2.IMREAD_COLOR)  # OpenCV读取颜色顺序：BGR
img_lab = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2LAB)
img_ls = img_lab[..., 0]
img_as = img_lab[..., 1]
img_bs = img_lab[..., 2]
# 分通道显示图片
fig = plt.gcf()
fig.set_size_inches(10, 15)
plt.subplot(221)
plt.imshow(img_lab)
plt.axis('off')
plt.title('L*a*b*')
plt.subplot(222)
plt.imshow(img_ls, cmap='gray')
plt.axis('off')
plt.title('L*')
plt.subplot(223)
plt.imshow(img_as, cmap='gray')
plt.axis('off')
plt.title('a*')
plt.subplot(224)
plt.imshow(img_bs, cmap='gray')
plt.axis('off')
plt.title('b*')
plt.show()