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添加番外篇5，更改结构 2018年11月22日
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‎04. 图像基本操作/cv2_basic_operations.py

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# More: http://ex2tron.wang
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# ex2tron's blog:
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# http://ex2tron.wang
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import cv2
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img = cv2.imread('lena.jpg')
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# 1.获取像素的值
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px = img[100, 100]
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print(px) # [119 108 201]
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px = img[100, 90]
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print(px) # [103 98 197]
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# 只获取蓝色blue通道的值
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px_blue = img[100, 100, 0]
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print(px_blue) # 119
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px_blue = img[100, 90, 0]
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print(px_blue) # 103
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# 2.修改像素的值
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img[100, 100] = [255, 255, 255]
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print(img[100, 100]) # [255 255 255]
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img[100, 90] = [255, 255, 255]
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print(img[100, 90]) # [255 255 255]
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# 3.图片形状
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print(img.shape) # (263, 263, 3)
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# 形状中包括高度、宽度和通道数
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print(img.shape) # (263, 247, 3)
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# 形状中包括行数、列数和通道数
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height, width, channels = img.shape
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# img是灰度图的话：height, width = img.shape
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# 总像素数
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print(img.size) # 263*263*3=207507
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print(img.size) # 263*247*3=194883
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# 数据类型
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print(img.dtype) # uint8
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‎04. 图像基本操作/cv2_exercise1.py

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# More: http://ex2tron.wang
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# ex2tron's blog:
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# http://ex2tron.wang
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import cv2
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‎04. 图像基本操作/lena.jpg

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‎05. 颜色空间转换/cv2_changing_color_space.py

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# More: http://ex2tron.wang
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# ex2tron's blog:
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# http://ex2tron.wang
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import cv2
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import numpy as np
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img = cv2.imread('lena.jpg')
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print(flags)
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# 蓝色的HSV值
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import numpy as np
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blue = np.uint8([[[255, 0, 0]]])
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hsv_blue = cv2.cvtColor(blue, cv2.COLOR_BGR2HSV)
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print(hsv_blue) # [[[120 255 255]]]

‎05. 颜色空间转换/cv2_exercises1.py

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# More: http://ex2tron.wang
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# ex2tron's blog:
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# http://ex2tron.wang
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import cv2
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import numpy as np

‎06. 阈值分割/cv2_thresholding.py

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# More: http://ex2tron.wang
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# ex2tron's blog:
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# http://ex2tron.wang
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import cv2
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import matplotlib.pyplot as plt

‎07. 图像几何变换/cv2_geometric_transformations.py

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# More: http://ex2tron.wang
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# ex2tron's blog:
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# http://ex2tron.wang
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import cv2
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import numpy as np
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import matplotlib.pyplot as plt
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img = cv2.imread('drawing.jpg')
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cv2.waitKey(0)
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# 2.平移图片
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# 2.翻转图片
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import numpy as np
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# 参数2=0：垂直翻转(沿x轴)，参数2>0: 水平翻转(沿y轴)
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# 参数2<0: 水平垂直翻转
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dst = cv2.flip(img, -1)
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# np.hstack: 横向并排，对比显示
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cv2.imshow('flip', np.hstack((img, dst))) # np.hstack: 横向并排，对比显示
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cv2.waitKey(0)
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# 3.平移图片
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rows, cols = img.shape[:2]
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# 定义平移矩阵，需要是numpy的float32类型
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# x轴平移100，y轴平移50
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cv2.waitKey(0)
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# 3.45°旋转图片并缩小一半
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M = cv2.getRotationMatrix2D((cols / 2, rows / 2), 45, 0.5)
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# 4.45°顺时针旋转图片并缩小一半
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M = cv2.getRotationMatrix2D((cols / 2, rows / 2), -45, 0.5)
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dst = cv2.warpAffine(img, M, (cols, rows))
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cv2.imshow('rotation', dst)
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cv2.waitKey(0)
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# 4.翻转图片
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# 参数2=0：垂直翻转(沿x轴)，参数2>0: 水平翻转(沿y轴)
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# 参数2<0: 水平垂直翻转
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dst = cv2.flip(img, 1)
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# np.hstack: 横向并排，对比显示
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cv2.imshow('flip', np.hstack((img, dst))) # np.hstack: 横向并排，对比显示
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cv2.waitKey(0)
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# 5.仿射变换
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# 变换前的三个点
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pts1 = np.float32([[50, 65], [150, 65], [210, 210]])
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# 变换后的三个点
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pts2 = np.float32([[50, 100], [150, 65], [100, 250]])
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# 生成变换矩阵，维数：2*3
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M = cv2.getAffineTransform(pts1, pts2)
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dst = cv2.warpAffine(img, M, (cols, rows))
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plt.subplot(121), plt.imshow(img), plt.title('input')
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plt.subplot(122), plt.imshow(dst), plt.title('output')
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plt.show()

‎08. 绘图功能/cv2_drawing_functions.py

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# More: http://ex2tron.wang
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# ex2tron's blog:
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# http://ex2tron.wang
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import cv2
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import numpy as np

‎08. 绘图功能/cv2_exercise1.py

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# More: http://ex2tron.wang
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# ex2tron's blog:
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# http://ex2tron.wang
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import cv2
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import numpy as np

‎09. 图像混合/cv2_image_blending.py

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# More: http://ex2tron.wang
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# ex2tron's blog:
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# http://ex2tron.wang
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import cv2
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import numpy as np

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