I need an OpenCV python code to perform image alignment for retinal layer segmentation.

Consider a convolution layer that processes an input image of size 256 × 256 x 3 and where the output has one channel. If the convolution layer contains a single 1 x 1 convolution filter, how many parameters are there including bias?

4- 1 2 3. 4 Laplacian Kernel 222 22 15 14 20 1 222 220 22 1 24 -1 200 215 12 27 24 -1 4 -1 3 145 130 30 35 23 -1 4 100 99 84 43 22 If you apply Laplacian Edge Detection to the above image, what are the approximate values for the following pixels: IMG(2,1) IMG(3,2) IMG(2,3) IMG(1,2) Hint: pixles oreder is IMG(y,x) 255 , 0, 36 , 0 125, 0, 39 -12 298, 141 36, 160 298 -141 , 36 , -160 Boş bırak 2.