Python+OpenCV：仿射变换和透射变换-蒲公英云

Python+OpenCV：仿射变换和透射变换

仿射变换

####################################################################################################
# 仿射图像
def lmc_cv_affining():
    """
        函数功能: 仿射图像.
    """
    # 读取图像
    image = lmc_cv.imread('D:/99-Research/Python/Image/CheckerBoard.jpg')
    # 仿射图像
    rows, cols, channel = image.shape
    pts1 = np.float32([[50, 50], [200, 50], [50, 200]])
    pts2 = np.float32([[10, 100], [200, 50], [100, 250]])
    matrix = lmc_cv.getAffineTransform(pts1, pts2)
    affining_image = lmc_cv.warpAffine(image, matrix, (cols, rows))
    # 显示图像
    pyplot.figure('Image Display')
    pyplot.subplot(121)
    pyplot.imshow(image)
    pyplot.title('Input')
    pyplot.subplot(122)
    pyplot.imshow(affining_image)
    pyplot.title('Output')
    pyplot.show()
    # 根据用户输入保存图像
    if ord("q") == (lmc_cv.waitKey(0) & 0xFF):
        # 销毁窗口
        pyplot.close()
    return

watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2xpdWJpbmc4NjA5_size_16_color_FFFFFF_t_70

透射变换

image = lmc_cv.imread('D:/99-Research/Python/Image/Sudoku.jpg')
    # 透视图像
    rows, cols, channel = image.shape
    pts1 = np.float32([[33, 47], [424, 43], [2, 498], [441, 511]])
    pts2 = np.float32([[0, 0], [300, 0], [0, 300], [300, 300]])
    matrix = lmc_cv.getPerspectiveTransform(pts1, pts2)
    perspectiving_image = lmc_cv.warpPerspective(image, matrix, (300, 300))
    # 显示图像
    pyplot.figure('Image Display')
    pyplot.subplot(121)
    pyplot.imshow(image)
    pyplot.title('Input')
    pyplot.subplot(122)
    pyplot.imshow(perspectiving_image)
    pyplot.title('Output')
    pyplot.show()
    # 根据用户输入保存图像
    if ord("q") == (lmc_cv.waitKey(0) & 0xFF):
        # 销毁窗口
        pyplot.close()
    return