Why convolving the high-resolution image with a larger PSF, then subtracting the two images, produced a similar result. Please explain this in terms of formulae and concepts; “the image looked the same, so the result was the same” is not an acceptable answer.

Give details of the convolution operation and describe its application in the field of image processing. You should support your answer with the use of mathematical expressions, pseudo- code and diagrams.

Explain, in detail, the Mathematical Morphological terms listed below. Give an example of how each of these operations are used in image processing/analysis applications. i. Erosion-Dilation Duality. ii. Geodesic Dilation. iii. Hit and Miss Transform.

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,....

When is Image Superimposition utilized? Is one technique superior to the other?

List all auxiliary devices and group them into the following four groups: output devices, pointing devices, scanning devices, and image-capture devices. The most prevalent are pointing tools. Is it feasible to encapsulate every device in a single definition?

Hello, could you please show working out how to tackle this question. It is a question to answer using paper method. My end of year exam for Image Analysis is nearing and I have been informed questions like these will pop up.    Thanks