9. Distance Transform: Computing with pixels. Consider a binary image - an image consisting of either Os or 1s. Assume the 1s in the image represent objects and 0s represent the background. The distance transform assigns to each pixel in the image the distance to the closest object pixel. Thus all pixels belonging to the object will have an assigned distance equal to zero. Let us assume that we are interested in computing the distance transform using the Manhattan distance. Outline an algorithm that would compute such a transform (this should be in the form of a pseudo-code or steps that one can easily follow for a computer implementation.) and implement such a transform in Matlab/Python, and submit a print-out of this code. 9. Distance Transform: Computing with pixels. Consider a binary image - an image consisting of either Os or 1s. Assume the 1s in the image represent objects and 0s represent the background. The distance transform assigns to each pixel in the image the distance to the closest object pixel. Thus all pixels belonging to the object will have an assigned distance equal to zero. Let us assume that we are interested in computing the distance transform using the Manhattan distance. Outline an algorithm that would compute such a transform (this should be in the form of a pseudo-code or steps that one can easily follow for a computer implementation.) and implement such a transform in Matlab/Python, and submit a print-out of this code