In this article, we are going to convert the image into its binary form. A binary image is a monochromatic image that consists of pixels that can have one of exactly two colors, usually black and white. Binary images are also called bi-level or two-level. This means that each pixel is stored as a single bit—i.e., 0 or 1.
The most important library needed for image processing in Python is OpenCV. Make sure you have installed the library into your Python. For steps for installing OpenCV refers to this article: Set up Opencv with anaconda environment
Approach:
- Read the image from the location.
- As a colored image has RGB layers in it and is more complex, convert it to its Grayscale form first.
- Set up a Threshold mark, pixels above the given mark will turn white, and below the mark will turn black.
Below is the implementation:
Python3
import cv2 # read the image fileimg = cv2.imread('ff.jpg', 2) ret, bw_img = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY) # converting to its binary formbw = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY) cv2.imshow("Binary", bw_img)cv2.waitKey(0)cv2.destroyAllWindows() |
Output:
Original Image
Binary Form
