Let's say I have two binary images of the same size. How do I find the intersection between the two binary images? Only pixels of the same coordinate (location) on the two images that are white (gray - 255) will give white pixels on the output image (intersection).
How to perform Bitwise And operation on two images using Java OpenCV? You can compute bitwise conjunction between two images using the bitwise_and () method of the org.opencv.core.Core class.
You can add two images with the OpenCV function, cv.add (), or simply by the numpy operation res = img1 + img2. Both images should be of same depth and type, or the second image can just be a scalar value.
Both images should be of same depth and type, or the second image can just be a scalar value. There is a difference between OpenCV addition and Numpy addition. OpenCV addition is a saturated operation while Numpy addition is a modulo operation.
Bitwise operations are used in image manipulation and used for extracting essential parts in the image. In this article, Bitwise operations used are : Also, Bitwise operations helps in image masking. Image creation can be enabled with the help of these operations. These operations can be helpful in enhancing the properties of the input images.
You can use cvAnd or cv::bitwise_and on the two images. The resulting image will be white only where both the input images are white.
EDIT: Here are the results of applying cv::bitwise_and, cv::bitwise_or and cv::bitwise_xor on binary images:
These are the two source images:
Here is the result of applying cv::bitwise_and:
Here is the result of applying cv::bitwise_or:
Here is the result of applying cv::bitwise_xor:
Here's how to do this in python (with the images above):
import cv2 img1 = cv2.imread('black_top_right_triangle.png',0) img2 = cv2.imread('black_bottom_right_triangle.png',0) img_bwa = cv2.bitwise_and(img1,img2) img_bwo = cv2.bitwise_or(img1,img2) img_bwx = cv2.bitwise_xor(img1,img2) cv2.imshow("Bitwise AND of Image 1 and 2", img_bwa) cv2.imshow("Bitwise OR of Image 1 and 2", img_bwo) cv2.imshow("Bitwise XOR of Image 1 and 2", img_bwx) cv2.waitKey(0) cv2.destroyAllWindows()
If you need to install OpenCV
for Python
, save time by following these directions (installation has historically been quite a pain).
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