Consider the two image subsets, S, and S, in the following figure. With referenee to Seetion 2.5, and assuming that V = {1}, determine whether these two subsets are: (a)* 4-adjacent. (b) 8-adjacent. (c) m-adjacent. 0 0 010 1 0 0 0i 0 0 0 1 1 0 0 I 1.

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.

Explain the concept of duality in projective geometry and its applications in computer graphics, such as the duality of points and lines in 2D transformations.

This is energyBalance.m in the first image in the second image are the questions according from image 1

Consider the following edge-weighted digraph with 8 vertices and 13 edges. V->W weight A->E 1 A->B B->C C->F 4 C->D D->G F->E 39 23 F->B 26 F->A 16 G->F G->C 40 34 H->D 95 H->G 17 Here is a graphical representation of the same edge-weighted digraph: (A) -3---->(B) -39-->(D) 16 95 (E)- -23- (F). 40 (G) (H) Suppose that you run the Bellman-Ford algorithm to compute the shortest paths from H to every other vertex. What is the distTo[] array immediately after the end of three passes of the algorithm (pass 1, 2, and 3)? Each pass consists of relaxing the 13 edges in the order given above. Here is the distTo[] array before the beginning of pass 1: v A B CDE F H. distTo(v] Answer Your answer should be a sequence of 8 integers, separated by whitespace,

The figure shown above is a binary images I in which white piİxels 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, (iii) that the image is padded with zeros when computing at pixels on the edge. ANSWER: R= (to 2 decimal places)

Explain,....