imbinarize

imbinarize(img: np.ndarray, threth: int = cv2.THRESH_BINARY, color_base: str = 'BGR') -> np.ndarray

• Description: Perform binarization on the input image.

• Parameters:

  • img (np.ndarray): Input image to be binarized. If the input image is 3-channel, the function will automatically apply the bgr2gray function.
  • threshold (int): Threshold type. There are two types of thresholds:
    1. cv2.THRESH_BINARY: cv2.THRESH_OTSU + cv2.THRESH_BINARY
    2. cv2.THRESH_BINARY_INV: cv2.THRESH_OTSU + cv2.THRESH_BINARY_INV
  • color_base (str): Color space of the input image. Default is 'BGR'.

• Returns:

  • np.ndarray: Binarized image.

• Example:

  import docsaidkit as D
  
  img = D.imread('lena.png')
  bin_img = D.imbinarize(img)