api.py 文件源码

def remove_blobs(image, min_area=0, max_area=sys.maxsize, threshold=128,
                 method='8-connected', return_mask=False):
    """Binarize image using threshold, and remove (turn into black)
    blobs of connected pixels of white of size bigger or equal than
    min_area but smaller or equal than max_area from the original image,
    returning it afterward."""
    method = method.lower()
    if method == '4-connected':
        method = cv2.LINE_4
    elif method in ('16-connected', 'antialiased'):
        method = cv2.LINE_AA
    else:  # 8-connected
        method = cv2.LINE_8
    mono_image = binarize_image(image, method='boolean', threshold=threshold)
    _, all_contours, _ = cv2.findContours(mono_image, cv2.RETR_LIST,
                                          cv2.CHAIN_APPROX_SIMPLE)
    contours = np.array([contour for contour in all_contours
                         if min_area <= cv2.contourArea(contour) <= max_area])
    mask = np.ones(mono_image.shape, np.uint8)
    cv2.drawContours(mask, contours, -1, 0, -1, lineType=method)
    return image, 255 * mask