How to merge two image without losing intensity in opencv
I have two images in opencv: Image A and Image B .
Image A is output frame from camera.
Image B is alpha transparent image obtained by masking one image.
Before masking Image B it is warped with cvWarpPerspective()
cvAddWeighted() - It looses intensity when you give alpha and beta value Please help me out with something where I don't lose intensity in the output image after blending.
Thanks in advance
When you say, that you lose intensity... you leave the question about, how you lose it?
Do you loose intensity in the sense:
That when you add the images you hit a maximum intensity, and the rest is discarded. (Example for a 8 bit pixel addition: Pix1 = 200 i, Pix2 = 150 i. "Pix1 + Pix2 = 350" but max value at 255, so Pix1 + Pix2 = 255)
That the former values of image A is compromised by adding it to Image B, which only covers some parts of the image. (Example for an 8 bit image: Pix1 = 200 i, Pix2 = 150, (Pix1 + Pix2)/2 = 175, but when the value of a pixel of the second image is zero, Pix2 = 0. Then (Pix1 + Pix2)/2 = 100, which is half the value of the original image)
One of these observations should tell you about what you need to do. I don't quite know, in accordance to the functions you mentioned, which approach they use.
I finally got the answer.It consist of 5 steps....
Step - 1
cvGetPerspectiveTransform(q,pnt,warp_matrix);
//where pnt is four point x and y cordinates and warp_matrix is a 3 x 3 matrix
Step - 2
cvWarpPerspective(dst2, neg_img, warp_matrix,CV_INTER_LINEAR)
//dst2 is overlay image ,neg_img is a blank image
Step - 3
cvSmooth(neg_img,neg_img,CV_MEDIAN); //smoothing the image
Step - 4
cvThreshold(neg_img, cpy_img, 0, 255, CV_THRESH_BINARY_INV);
//cpy_img is a created image from image_n
Step - 5
cvAnd(cpy_img,image_n,cpy_img);// image_n is a input image
cvOr(neg_img,cpy_img,image_n);
Output - image_n (without loosing intensity of input image)
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