Python图像处理：生成随机图像与随机圆

1. 生成随机图像

在OpenCV中，生成随机图像可以通过numpy库实现。以下是详细的实现步骤：

1.1 灰度图像生成

grayImage = np.random.randint(0, 255, (400, 400))cv2.imshow("GRAY", grayImage.astype(np.uint8))

1.2 全色图像生成（BGR格式）

bgrImage = np.random.randint(0, 255, (400, 400, 3))cv2.imshow("bgr", bgrImage.astype(np.uint8))

1.3 图像特点

大小：生成的图像大小为400x400像素

颜色范围：0-255值，涵盖所有可见色彩

显示方式：使用OpenCV窗口显示

1.4 示例代码总结

import numpy as npimport cv2grayImage = np.random.randint(0, 255, (400, 400))cv2.imshow("GRAY", grayImage.astype(np.uint8))bgrImage = np.random.randint(0, 255, (400, 400, 3))cv2.imshow("bgr", bgrImage.astype(np.uint8))cv2.waitKey(0)cv2.destroyAllWindows()

2. 生成随机圆

在OpenCV中绘制随机圆的实现步骤如下：

2.1 初始化白色背景

d = 400img = np.ones((d, d, 3), np.uint8) * 255

2.2 循环绘制圆

for i in range(0, 100):    # 随机圆心坐标    center_x = np.random.randint(0, high=d)    center_y = np.random.randint(0, high=d)        # 随机半径    radius = np.random.randint(5, high=d//5)        # 随机颜色    color = np.random.randint(0, high=256, size=(3,)).tolist()        # 绘制圆    cv2.circle(img, (center_x, center_y), radius, color, -1)

2.3 显示结果

cv2.imshow("img", img)cv2.waitKey()cv2.destroyAllWindows()

2.4 示例代码总结

import numpy as npimport cv2def main():    d = 400    img = np.ones((d, d, 3), np.uint8) * 255  # 创建白色背景        for _ in range(100):  # 绘制100个圆        # 随机圆心坐标        center_x = np.random.randint(0, d)        center_y = np.random.randint(0, d)                # 随机半径        radius = np.random.randint(5, d//5)                # 随机颜色        color = np.random.randint(0, 256, size=(3,)).tolist()                # 绘制圆        cv2.circle(img, (center_x, center_y), radius, color, -1)        cv2.imshow("img", img)    cv2.waitKey()    cv2.destroyAllWindows()if __name__ == '__main__':    main()