The figure shown above is a binary images I in which white pixels have values of one and black pixels have values of zero. First compute derivatives of the image intensities in the x and y directions following the numerical way to obtain Ix and Iy: Ix(i,j)= (I(i+1,j)-I(i-1,j))/2 and Iy(i,j) = (I(i,j+1)-I(i,j-1))/2. For the computation of Ix(i,j) on pixels in the first column Ix(i,j) = I(i+1,j) - I(i,j) or of Iy(i,j) on pixels in the first row Iy(i,j) = I(i,j+1) - I(i,j). For the computation of Ix(i,j) on pixels in the last column Ix(i,j) = I(i,j) I(i-1,j) or of Iy(i,j) on pixels in the last row Iy(i,j) = I(i,j) I(i,j-1). Calculate the response R of the Harris corner detector at each pixel based on Ix and ly, assuming (i) a value of k=0.05 in the calculation, (ii) that products of derivatives are summed over an equally weighted 3 by 3 pixel window around each pixel, (ii) that the image is padded with zeros when computing at pixels on the edge. LANSWER: R=

By using Karnaugh map, minimize each boolean functions (SOP form) ->  If you're uploading pic or image as the answer, please upload it correctly as I was unable to see the answer for this question after it was answered. So I had to post a new question.Thank you

The pixels in a 3 x 3 image sub-block are as follows: 3 4 2 9 ? 1 3 7 3 (a) Estimate the unknown pixel in the center using both a mean and a median estimator. (b) Repeat if the pixel of value 1 is changed to 25. Are both the mean and median affected? Why or why not?

Consider two images. One should be relatively large, like 512 x 512 pixels that contains several sparsely populated points with magnitude 255, and the other is small such as 15 x 15 that contains a non-symmetric object like, with the object white and the background black for both images.  Perform both the correlation, and convolution of the two images separately and correctly label each result. Make the resulting image the same size as the larger input image.

Suppose we have an input image f(x,y) shown below. 0 1 2 3 4 2 2 2 2 2 2 4 5 6 7 0 1 2 3 4 0 0 1 5 7 Plese compute the gradient at point (2,3) (Write ansewer in the first blank) (2,4) (Write answer in the second blank) (3,3) (Write ansewer in the third blank) (3,4) (Write answer in the fourth blank) using Sobel Operator. gradient (x,y) =|Gx|+|Gyl.

we have a camera with a viewing plane located at (0,0). Viewing/Camera plane coordinates: u=(1,0), ve(0,1) I we rotate the camera plan by 90 degrees counter-clockwise, the point (2,3) in the imaging plane will be seen at which location with respect to transformed camera coordinates? ve(0.1) (2.3) rotate u(1,0) O 3.2) O (2.3) O 2-3) O 13.2)