page.py 文件源码

def process_image(orig_im):

    # Load and scale down image.
    scale, im = downscale_image(orig_im)

    # Reduce noise.
    blur = reduce_noise_raw(im.copy())

    # Edged.
    edges = auto_canny(blur.copy())

    # Reduce noise and remove thin borders.
    debordered = reduce_noise_edges(edges.copy())

    # Dilate until there are a few components.
    dilation, rects, num_tries = find_components(debordered, 16)

    # Find the final crop.
    final_rect = find_final_crop(dilation, rects)

    # Crop the image and smooth.
    cropped = crop_image(orig_im, final_rect, scale)
    kernel = np.ones((5, 5), np.float32) / 25
    smooth2d = cv2.filter2D(cropped, -1, kernel=kernel)

    return (smooth2d, num_tries)