素材图片： demo.jpeg
环境配置
$ 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
RGB
RGB 颜色空间在文件 rgb.py 中演示，效果如下：
::: details rgb.py 内容
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
HSV
HSV 颜色空间在文件 hsv.py 中演示，效果如下：
::: details hsv.py 内容
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
L*a*b*
L*a*b* 颜色空间在文件 Lab.py 中演示，效果如下：
::: details Lab.py 内容
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()
